Thalirajesh
commited on
Commit
•
85fda79
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Parent(s):
c92aa8b
End of training
Browse files- README.md +99 -0
- config.json +122 -0
- model.safetensors +3 -0
- runs/Mar25_16-30-18_a0cda30bfe48/events.out.tfevents.1711384221.a0cda30bfe48.34.0 +3 -0
- runs/Mar25_16-38-00_a0cda30bfe48/events.out.tfevents.1711384685.a0cda30bfe48.34.1 +3 -0
- training_args.bin +3 -0
- wandb/debug-internal.log +0 -0
- wandb/debug.log +28 -0
- wandb/run-20240325_163210-3h8l4wm4/files/conda-environment.yaml +1081 -0
- wandb/run-20240325_163210-3h8l4wm4/files/config.yaml +38 -0
- wandb/run-20240325_163210-3h8l4wm4/files/wandb-metadata.json +62 -0
- wandb/run-20240325_163210-3h8l4wm4/logs/debug-internal.log +0 -0
- wandb/run-20240325_163210-3h8l4wm4/logs/debug.log +81 -0
- wandb/run-20240325_163210-3h8l4wm4/run-3h8l4wm4.wandb +0 -0
- wandb/run-20240325_163805-af3v50r7/files/conda-environment.yaml +1081 -0
- wandb/run-20240325_163805-af3v50r7/files/config.yaml +806 -0
- wandb/run-20240325_163805-af3v50r7/files/output.log +7 -0
- wandb/run-20240325_163805-af3v50r7/files/requirements.txt +860 -0
- wandb/run-20240325_163805-af3v50r7/files/wandb-metadata.json +62 -0
- wandb/run-20240325_163805-af3v50r7/files/wandb-summary.json +1 -0
- wandb/run-20240325_163805-af3v50r7/logs/debug-internal.log +0 -0
- wandb/run-20240325_163805-af3v50r7/logs/debug.log +28 -0
- wandb/run-20240325_163805-af3v50r7/run-af3v50r7.wandb +0 -0
README.md
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---
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license: other
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base_model: nvidia/mit-b0
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tags:
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- generated_from_trainer
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model-index:
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- name: Aerial-Drone-Image-Segmentation
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Aerial-Drone-Image-Segmentation
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8852
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- Mean Iou: 0.2994
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- Mean Accuracy: 0.3923
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- Overall Accuracy: 0.7774
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 24
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|
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| 2.7923 | 1.25 | 20 | 2.8338 | 0.0954 | 0.1626 | 0.5529 |
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| 2.219 | 2.5 | 40 | 2.1391 | 0.1036 | 0.1666 | 0.5929 |
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| 1.9451 | 3.75 | 60 | 1.7919 | 0.1154 | 0.1782 | 0.6129 |
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| 1.7558 | 5.0 | 80 | 1.6767 | 0.1300 | 0.1961 | 0.6396 |
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| 1.6381 | 6.25 | 100 | 1.5817 | 0.1383 | 0.2055 | 0.6550 |
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| 1.5338 | 7.5 | 120 | 1.4816 | 0.1464 | 0.2140 | 0.6729 |
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| 1.4478 | 8.75 | 140 | 1.4231 | 0.1529 | 0.2219 | 0.6823 |
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| 1.361 | 10.0 | 160 | 1.3300 | 0.1637 | 0.2315 | 0.6975 |
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| 1.306 | 11.25 | 180 | 1.3034 | 0.1737 | 0.2419 | 0.7060 |
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| 1.2611 | 12.5 | 200 | 1.2692 | 0.1755 | 0.2450 | 0.7093 |
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| 1.2317 | 13.75 | 220 | 1.2190 | 0.1821 | 0.2501 | 0.7145 |
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| 1.1868 | 15.0 | 240 | 1.2063 | 0.1862 | 0.2539 | 0.7188 |
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| 1.1628 | 16.25 | 260 | 1.1832 | 0.1909 | 0.2612 | 0.7234 |
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| 1.1149 | 17.5 | 280 | 1.1368 | 0.2048 | 0.2739 | 0.7317 |
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| 1.1009 | 18.75 | 300 | 1.1117 | 0.2232 | 0.2938 | 0.7387 |
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| 1.0532 | 20.0 | 320 | 1.0923 | 0.2315 | 0.2997 | 0.7414 |
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| 1.0464 | 21.25 | 340 | 1.0821 | 0.2408 | 0.3147 | 0.7480 |
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| 1.0278 | 22.5 | 360 | 1.0541 | 0.2517 | 0.3277 | 0.7530 |
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| 0.9945 | 23.75 | 380 | 1.0352 | 0.2612 | 0.3398 | 0.7573 |
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| 0.9729 | 25.0 | 400 | 1.0207 | 0.2671 | 0.3511 | 0.7609 |
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| 0.9527 | 26.25 | 420 | 1.0067 | 0.2684 | 0.3547 | 0.7609 |
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| 0.9494 | 27.5 | 440 | 0.9870 | 0.2713 | 0.3548 | 0.7627 |
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| 0.9287 | 28.75 | 460 | 0.9729 | 0.2745 | 0.3619 | 0.7640 |
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| 0.9089 | 30.0 | 480 | 0.9561 | 0.2791 | 0.3640 | 0.7680 |
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| 0.9064 | 31.25 | 500 | 0.9500 | 0.2799 | 0.3712 | 0.7672 |
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| 0.8681 | 32.5 | 520 | 0.9397 | 0.2845 | 0.3749 | 0.7696 |
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| 0.8677 | 33.75 | 540 | 0.9340 | 0.2835 | 0.3737 | 0.7692 |
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| 0.8663 | 35.0 | 560 | 0.9243 | 0.2862 | 0.3755 | 0.7716 |
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| 0.8629 | 36.25 | 580 | 0.9173 | 0.2869 | 0.3766 | 0.7719 |
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| 0.8542 | 37.5 | 600 | 0.9112 | 0.2908 | 0.3810 | 0.7740 |
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| 0.8391 | 38.75 | 620 | 0.9050 | 0.2904 | 0.3812 | 0.7734 |
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| 0.8392 | 40.0 | 640 | 0.9027 | 0.2917 | 0.3818 | 0.7734 |
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| 0.8306 | 41.25 | 660 | 0.8949 | 0.2941 | 0.3841 | 0.7755 |
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| 0.8213 | 42.5 | 680 | 0.8936 | 0.2958 | 0.3875 | 0.7760 |
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| 0.8406 | 43.75 | 700 | 0.8910 | 0.2964 | 0.3879 | 0.7763 |
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| 0.8254 | 45.0 | 720 | 0.8889 | 0.2981 | 0.3897 | 0.7764 |
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| 0.8202 | 46.25 | 740 | 0.8880 | 0.2985 | 0.3917 | 0.7767 |
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| 0.8013 | 47.5 | 760 | 0.8891 | 0.2989 | 0.3923 | 0.7767 |
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| 0.8188 | 48.75 | 780 | 0.8861 | 0.2994 | 0.3926 | 0.7772 |
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| 0.8089 | 50.0 | 800 | 0.8852 | 0.2994 | 0.3923 | 0.7774 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "nvidia/mit-b0",
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"architectures": [
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"SegformerForSemanticSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"decoder_hidden_size": 256,
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"depths": [
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2,
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2,
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2,
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],
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"downsampling_rates": [
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1,
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4,
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8,
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16
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],
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_sizes": [
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32,
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64,
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160,
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256
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],
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"id2label": {
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"0": "unlabeled",
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"1": "paved-area",
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"2": "dirt",
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"3": "grass",
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"4": "gravel",
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"5": "water",
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"6": "rocks",
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"7": "pool",
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"8": "vegetation",
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"9": "roof",
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"10": "wall",
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"11": "window",
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"12": "door",
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"13": "fence",
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"14": "fence-pole",
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"15": "person",
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"16": "dog",
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"17": "car",
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"18": "bicycle",
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"19": "tree",
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"20": "bald-tree",
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"21": "ar-marker",
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"22": "obstacle",
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"23": "conflicting"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"ar-marker": 21,
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"bald-tree": 20,
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"bicycle": 18,
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"car": 17,
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"conflicting": 23,
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"dirt": 2,
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"dog": 16,
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"door": 12,
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"fence": 13,
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"fence-pole": 14,
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"grass": 3,
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"gravel": 4,
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"obstacle": 22,
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"paved-area": 1,
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"person": 15,
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"pool": 7,
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"rocks": 6,
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"roof": 9,
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"tree": 19,
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"unlabeled": 0,
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"vegetation": 8,
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"wall": 10,
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"water": 5,
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"window": 11
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},
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"layer_norm_eps": 1e-06,
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"mlp_ratios": [
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4,
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4,
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4,
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4
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],
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"model_type": "segformer",
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"num_attention_heads": [
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1,
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2,
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5,
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8
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],
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"num_channels": 3,
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"num_encoder_blocks": 4,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"reshape_last_stage": true,
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"semantic_loss_ignore_index": 255,
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"sr_ratios": [
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8,
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4,
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2,
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1
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],
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"strides": [
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4,
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2,
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2,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.38.1"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1fde7aabeac50e77f25d8326d46ad7cf45171833c40f087857ec7902f2a2fccb
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size 14907400
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runs/Mar25_16-30-18_a0cda30bfe48/events.out.tfevents.1711384221.a0cda30bfe48.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0ff9ea09dd3227ff3b5c73ba008f5cd67680eb1691940e949248c9a0ce38933
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size 5861
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runs/Mar25_16-38-00_a0cda30bfe48/events.out.tfevents.1711384685.a0cda30bfe48.34.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d8d39c39d4676f155a4a68915358a582e58c14201790b4630ec5a2eeff162c2
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size 32226
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0c1682be02ca220f662ade2b2926a492546a5400702b74f69c081f7c104536f
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size 4920
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wandb/debug-internal.log
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wandb/debug.log
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2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.3
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2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
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2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
5 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
6 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
7 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
8 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
9 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug.log
|
10 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug-internal.log
|
11 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
12 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
13 |
+
config: {}
|
14 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():616] starting backend
|
15 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
|
16 |
+
2024-03-25 16:38:05,379 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
17 |
+
2024-03-25 16:38:05,380 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
|
18 |
+
2024-03-25 16:38:05,393 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
19 |
+
2024-03-25 16:38:06,176 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
|
20 |
+
2024-03-25 16:38:06,176 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
21 |
+
2024-03-25 16:38:06,413 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
|
22 |
+
2024-03-25 16:38:36,418 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
|
23 |
+
2024-03-25 16:39:06,452 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
|
24 |
+
2024-03-25 16:39:06,452 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
|
25 |
+
2024-03-25 16:39:06,453 INFO MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
|
26 |
+
2024-03-25 16:39:06,453 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
|
27 |
+
2024-03-25 16:39:06,455 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
|
28 |
+
2024-03-25 16:39:06,464 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['SegformerForImageClassification'], 'finetuning_task': None, 'id2label': {0: 'unlabeled', 1: 'paved-area', 2: 'dirt', 3: 'grass', 4: 'gravel', 5: 'water', 6: 'rocks', 7: 'pool', 8: 'vegetation', 9: 'roof', 10: 'wall', 11: 'window', 12: 'door', 13: 'fence', 14: 'fence-pole', 15: 'person', 16: 'dog', 17: 'car', 18: 'bicycle', 19: 'tree', 20: 'bald-tree', 21: 'ar-marker', 22: 'obstacle', 23: 'conflicting'}, 'label2id': {'unlabeled': 0, 'paved-area': 1, 'dirt': 2, 'grass': 3, 'gravel': 4, 'water': 5, 'rocks': 6, 'pool': 7, 'vegetation': 8, 'roof': 9, 'wall': 10, 'window': 11, 'door': 12, 'fence': 13, 'fence-pole': 14, 'person': 15, 'dog': 16, 'car': 17, 'bicycle': 18, 'tree': 19, 'bald-tree': 20, 'ar-marker': 21, 'obstacle': 22, 'conflicting': 23}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': None, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'nvidia/mit-b0', 'transformers_version': '4.38.1', 'downsampling_rates': [1, 4, 8, 16], 'image_size': 224, 'model_type': 'segformer', 'num_channels': 3, 'num_encoder_blocks': 4, 'depths': [2, 2, 2, 2], 'sr_ratios': [8, 4, 2, 1], 'hidden_sizes': [32, 64, 160, 256], 'patch_sizes': [7, 3, 3, 3], 'strides': [4, 2, 2, 2], 'mlp_ratios': [4, 4, 4, 4], 'num_attention_heads': [1, 2, 5, 8], 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.0, 'attention_probs_dropout_prob': 0.0, 'classifier_dropout_prob': 0.1, 'initializer_range': 0.02, 'drop_path_rate': 0.1, 'layer_norm_eps': 1e-06, 'decoder_hidden_size': 256, 'reshape_last_stage': True, 'semantic_loss_ignore_index': 255, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 24, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 50, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Mar25_16-38-00_a0cda30bfe48', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 4, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 20, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': False, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': 'Thalirajesh/Aerial-Drone-Image-Segmentation', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
|
wandb/run-20240325_163210-3h8l4wm4/files/conda-environment.yaml
ADDED
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|
1 |
+
name: base
|
2 |
+
channels:
|
3 |
+
- pytorch
|
4 |
+
- file:///tmp/conda
|
5 |
+
- rapidsai
|
6 |
+
- nvidia
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aiohttp=3.9.1=py310h2372a71_0
|
13 |
+
- aiosignal=1.3.1=pyhd8ed1ab_0
|
14 |
+
- annotated-types=0.6.0=pyhd8ed1ab_0
|
15 |
+
- anyio=4.2.0=pyhd8ed1ab_0
|
16 |
+
- archspec=0.2.2=pyhd8ed1ab_0
|
17 |
+
- argon2-cffi=23.1.0=pyhd8ed1ab_0
|
18 |
+
- argon2-cffi-bindings=21.2.0=py310h2372a71_4
|
19 |
+
- arrow=1.3.0=pyhd8ed1ab_0
|
20 |
+
- arrow-cpp=11.0.0=ha770c72_9_cpu
|
21 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
22 |
+
- async-timeout=4.0.3=pyhd8ed1ab_0
|
23 |
+
- atk-1.0=2.38.0=hd4edc92_1
|
24 |
+
- attrs=23.2.0=pyh71513ae_0
|
25 |
+
- aws-c-auth=0.6.26=h987a71b_2
|
26 |
+
- aws-c-cal=0.5.21=h48707d8_2
|
27 |
+
- aws-c-common=0.8.14=h0b41bf4_0
|
28 |
+
- aws-c-compression=0.2.16=h03acc5a_5
|
29 |
+
- aws-c-event-stream=0.2.20=h00877a2_4
|
30 |
+
- aws-c-http=0.7.6=hf342b9f_0
|
31 |
+
- aws-c-io=0.13.19=h5b20300_3
|
32 |
+
- aws-c-mqtt=0.8.6=hc4349f7_12
|
33 |
+
- aws-c-s3=0.2.7=h909e904_1
|
34 |
+
- aws-c-sdkutils=0.1.9=h03acc5a_0
|
35 |
+
- aws-checksums=0.1.14=h03acc5a_5
|
36 |
+
- aws-crt-cpp=0.19.8=hf7fbfca_12
|
37 |
+
- aws-sdk-cpp=1.10.57=h17c43bd_8
|
38 |
+
- beautifulsoup4=4.12.2=pyha770c72_0
|
39 |
+
- bleach=6.1.0=pyhd8ed1ab_0
|
40 |
+
- bokeh=3.3.4=pyhd8ed1ab_0
|
41 |
+
- boltons=23.1.1=pyhd8ed1ab_0
|
42 |
+
- brotli=1.0.9=h166bdaf_9
|
43 |
+
- brotli-bin=1.0.9=h166bdaf_9
|
44 |
+
- brotli-python=1.0.9=py310hd8f1fbe_9
|
45 |
+
- brotlipy=0.7.0=py310h7f8727e_1002
|
46 |
+
- bzip2=1.0.8=h7b6447c_0
|
47 |
+
- c-ares=1.25.0=hd590300_0
|
48 |
+
- ca-certificates=2024.2.2=hbcca054_0
|
49 |
+
- cached-property=1.5.2=hd8ed1ab_1
|
50 |
+
- cached_property=1.5.2=pyha770c72_1
|
51 |
+
- cairo=1.18.0=h3faef2a_0
|
52 |
+
- cartopy=0.22.0=py310hcc13569_1
|
53 |
+
- catalogue=2.0.10=py310hff52083_0
|
54 |
+
- certifi=2024.2.2=pyhd8ed1ab_0
|
55 |
+
- cffi=1.16.0=py310h2fee648_0
|
56 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
57 |
+
- click=8.1.7=unix_pyh707e725_0
|
58 |
+
- cloudpathlib=0.16.0=pyhd8ed1ab_0
|
59 |
+
- colorama=0.4.6=pyhd8ed1ab_0
|
60 |
+
- comm=0.2.1=pyhd8ed1ab_0
|
61 |
+
- conda=23.7.4=py310hff52083_0
|
62 |
+
- conda-libmamba-solver=23.7.0=pyhd8ed1ab_0
|
63 |
+
- conda-package-handling=2.2.0=pyh38be061_0
|
64 |
+
- conda-package-streaming=0.9.0=pyhd8ed1ab_0
|
65 |
+
- confection=0.1.4=py310h17c5347_0
|
66 |
+
- contourpy=1.2.0=py310hd41b1e2_0
|
67 |
+
- cryptography=41.0.7=py310hb8475ec_1
|
68 |
+
- cuda-cccl=12.3.101=0
|
69 |
+
- cuda-cudart=12.3.101=0
|
70 |
+
- cuda-cudart-dev=12.3.101=0
|
71 |
+
- cuda-nvcc-dev_linux-64=12.1.105=ha770c72_0
|
72 |
+
- cuda-nvcc-impl=12.1.105=hd3aeb46_0
|
73 |
+
- cuda-nvcc-tools=12.1.105=hd3aeb46_0
|
74 |
+
- cuda-nvrtc=12.1.105=hd3aeb46_0
|
75 |
+
- cuda-profiler-api=12.3.101=0
|
76 |
+
- cuda-python=12.3.0=py310h7ca8cf1_0
|
77 |
+
- cuda-version=12.1=h1d6eff3_2
|
78 |
+
- cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
79 |
+
- cuml=23.08.00=cuda12_py310_230809_gd7162cdea_0
|
80 |
+
- cupy=13.0.0=py310h7aad9d2_3
|
81 |
+
- cupy-core=13.0.0=py310had4011e_3
|
82 |
+
- curl=8.5.0=hca28451_0
|
83 |
+
- cycler=0.12.1=pyhd8ed1ab_0
|
84 |
+
- cymem=2.0.8=py310hc6cd4ac_1
|
85 |
+
- cython-blis=0.7.10=py310h1f7b6fc_2
|
86 |
+
- cytoolz=0.12.3=py310h2372a71_0
|
87 |
+
- dask-cuda=23.08.00=py310_230809_gefbd6ca_0
|
88 |
+
- dask-cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
89 |
+
- debugpy=1.8.0=py310hc6cd4ac_1
|
90 |
+
- decorator=5.1.1=pyhd8ed1ab_0
|
91 |
+
- defusedxml=0.7.1=pyhd8ed1ab_0
|
92 |
+
- distributed=2023.7.1=pyhd8ed1ab_0
|
93 |
+
- distro=1.9.0=pyhd8ed1ab_0
|
94 |
+
- dlenv-tf-2-15-gpu=1.0.20240111=py310ha20f8e0_0
|
95 |
+
- dlpack=0.5=h9c3ff4c_0
|
96 |
+
- entrypoints=0.4=pyhd8ed1ab_0
|
97 |
+
- exceptiongroup=1.2.0=pyhd8ed1ab_2
|
98 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
99 |
+
- expat=2.5.0=hcb278e6_1
|
100 |
+
- fastrlock=0.8.2=py310hc6cd4ac_2
|
101 |
+
- fftw=3.3.10=nompi_hc118613_108
|
102 |
+
- fmt=9.1.0=h924138e_0
|
103 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
104 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
105 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
106 |
+
- font-ttf-ubuntu=0.83=h77eed37_1
|
107 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
108 |
+
- fonts-conda-ecosystem=1=0
|
109 |
+
- fonts-conda-forge=1=0
|
110 |
+
- fqdn=1.5.1=pyhd8ed1ab_0
|
111 |
+
- freetype=2.12.1=h267a509_2
|
112 |
+
- fribidi=1.0.10=h36c2ea0_0
|
113 |
+
- frozenlist=1.4.1=py310h2372a71_0
|
114 |
+
- fsspec=2024.2.0=pyhca7485f_0
|
115 |
+
- gdk-pixbuf=2.42.10=h829c605_4
|
116 |
+
- geos=3.11.1=h27087fc_0
|
117 |
+
- gettext=0.21.1=h27087fc_0
|
118 |
+
- gflags=2.2.2=he1b5a44_1004
|
119 |
+
- ghostscript=10.02.1=h59595ed_0
|
120 |
+
- giflib=5.2.1=h0b41bf4_3
|
121 |
+
- glog=0.6.0=h6f12383_0
|
122 |
+
- gmock=1.14.0=ha770c72_1
|
123 |
+
- gmp=6.3.0=h59595ed_0
|
124 |
+
- google-api-core-grpc=2.11.1=hd8ed1ab_0
|
125 |
+
- google-auth=2.26.1=pyhca7485f_0
|
126 |
+
- google-cloud-core=2.4.1=pyhd8ed1ab_0
|
127 |
+
- google-cloud-datastore=2.19.0=pyhd8ed1ab_0
|
128 |
+
- googleapis-common-protos=1.62.0=pyhd8ed1ab_0
|
129 |
+
- graphite2=1.3.13=h58526e2_1001
|
130 |
+
- graphviz=9.0.0=h78e8752_1
|
131 |
+
- grpc-cpp=1.51.1=h27aab58_3
|
132 |
+
- gtest=1.14.0=h00ab1b0_1
|
133 |
+
- gtk2=2.24.33=h7f000aa_3
|
134 |
+
- gts=0.7.6=h977cf35_4
|
135 |
+
- harfbuzz=8.3.0=h3d44ed6_0
|
136 |
+
- icu=73.2=h59595ed_0
|
137 |
+
- idna=3.6=pyhd8ed1ab_0
|
138 |
+
- imagemagick=7.1.1_28=pl5321hb90aeea_0
|
139 |
+
- importlib_metadata=7.0.1=hd8ed1ab_0
|
140 |
+
- importlib_resources=6.1.1=pyhd8ed1ab_0
|
141 |
+
- intel-openmp=2023.1.0=hdb19cb5_46306
|
142 |
+
- ipykernel=6.28.0=pyhd33586a_0
|
143 |
+
- ipython=8.20.0=pyh707e725_0
|
144 |
+
- ipython_genutils=0.2.0=py_1
|
145 |
+
- isoduration=20.11.0=pyhd8ed1ab_0
|
146 |
+
- jbig=2.1=h7f98852_2003
|
147 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
148 |
+
- jinja2=3.1.2=pyhd8ed1ab_1
|
149 |
+
- joblib=1.3.2=pyhd8ed1ab_0
|
150 |
+
- jsonpatch=1.33=pyhd8ed1ab_0
|
151 |
+
- jsonpointer=2.4=py310hff52083_3
|
152 |
+
- jsonschema=4.20.0=pyhd8ed1ab_0
|
153 |
+
- jsonschema-specifications=2023.12.1=pyhd8ed1ab_0
|
154 |
+
- jsonschema-with-format-nongpl=4.20.0=pyhd8ed1ab_0
|
155 |
+
- jupyter_client=8.6.0=pyhd8ed1ab_0
|
156 |
+
- jupyter_core=5.7.1=py310hff52083_0
|
157 |
+
- jupyter_events=0.9.0=pyhd8ed1ab_0
|
158 |
+
- jupyter_server_terminals=0.5.1=pyhd8ed1ab_0
|
159 |
+
- jupyterlab_pygments=0.3.0=pyhd8ed1ab_0
|
160 |
+
- keyutils=1.6.1=h166bdaf_0
|
161 |
+
- kiwisolver=1.4.5=py310hd41b1e2_1
|
162 |
+
- krb5=1.21.2=h659d440_0
|
163 |
+
- langcodes=3.3.0=pyhd8ed1ab_0
|
164 |
+
- lcms2=2.16=hb7c19ff_0
|
165 |
+
- ld_impl_linux-64=2.40=h41732ed_0
|
166 |
+
- lerc=4.0.0=h27087fc_0
|
167 |
+
- libabseil=20230125.0=cxx17_hcb278e6_1
|
168 |
+
- libarchive=3.6.2=h039dbb9_1
|
169 |
+
- libarrow=11.0.0=h33598ff_9_cpu
|
170 |
+
- libblas=3.9.0=21_linux64_openblas
|
171 |
+
- libbrotlicommon=1.0.9=h166bdaf_9
|
172 |
+
- libbrotlidec=1.0.9=h166bdaf_9
|
173 |
+
- libbrotlienc=1.0.9=h166bdaf_9
|
174 |
+
- libcblas=3.9.0=21_linux64_openblas
|
175 |
+
- libcrc32c=1.1.2=h9c3ff4c_0
|
176 |
+
- libcublas=12.1.3.1=hd3aeb46_0
|
177 |
+
- libcublas-dev=12.1.3.1=0
|
178 |
+
- libcudf=23.08.00=cuda12_230809_g8150d38e08_0
|
179 |
+
- libcufft=11.0.2.54=hd3aeb46_0
|
180 |
+
- libcufile=1.8.1.2=0
|
181 |
+
- libcufile-dev=1.8.1.2=0
|
182 |
+
- libcuml=23.08.00=cuda12_230809_gd7162cdea_0
|
183 |
+
- libcumlprims=23.08.00=cuda12_230809_g71c0a86_0
|
184 |
+
- libcurand=10.3.2.106=hd3aeb46_0
|
185 |
+
- libcurand-dev=10.3.2.106=0
|
186 |
+
- libcurl=8.5.0=hca28451_0
|
187 |
+
- libcusolver=11.4.5.107=hd3aeb46_0
|
188 |
+
- libcusolver-dev=11.4.5.107=0
|
189 |
+
- libcusparse=12.1.0.106=hd3aeb46_0
|
190 |
+
- libcusparse-dev=12.1.0.106=0
|
191 |
+
- libdeflate=1.19=hd590300_0
|
192 |
+
- libedit=3.1.20191231=he28a2e2_2
|
193 |
+
- libev=4.33=hd590300_2
|
194 |
+
- libevent=2.1.10=h28343ad_4
|
195 |
+
- libexpat=2.5.0=hcb278e6_1
|
196 |
+
- libffi=3.4.2=h7f98852_5
|
197 |
+
- libgcc-ng=13.2.0=h807b86a_3
|
198 |
+
- libgd=2.3.3=h119a65a_9
|
199 |
+
- libgfortran-ng=13.2.0=h69a702a_5
|
200 |
+
- libgfortran5=13.2.0=ha4646dd_5
|
201 |
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|
202 |
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|
203 |
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|
204 |
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- libgrpc=1.51.1=hcf146ea_3
|
205 |
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|
206 |
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|
207 |
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|
208 |
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|
209 |
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|
210 |
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|
211 |
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|
212 |
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|
213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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|
218 |
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|
219 |
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|
220 |
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|
221 |
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|
222 |
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|
223 |
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|
224 |
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|
225 |
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|
226 |
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|
227 |
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|
228 |
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|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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|
236 |
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|
237 |
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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|
242 |
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|
243 |
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|
244 |
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|
245 |
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|
246 |
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|
247 |
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|
248 |
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|
249 |
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|
250 |
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|
251 |
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|
252 |
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|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
+
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|
259 |
+
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|
260 |
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- nbclassic=1.0.0=pyhb4ecaf3_1
|
261 |
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|
262 |
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|
263 |
+
- nccl=2.20.3.1=h3a97aeb_0
|
264 |
+
- ncurses=6.4=h59595ed_2
|
265 |
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|
266 |
+
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|
267 |
+
- notebook-shim=0.2.3=pyhd8ed1ab_0
|
268 |
+
- numpy=1.26.4=py310hb13e2d6_0
|
269 |
+
- nvcomp=2.6.1=h10b603f_3
|
270 |
+
- nvtx=0.2.10=py310h2372a71_0
|
271 |
+
- openjpeg=2.5.0=h488ebb8_3
|
272 |
+
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|
273 |
+
- openssl=3.2.1=hd590300_0
|
274 |
+
- orc=1.8.2=hfdbbad2_2
|
275 |
+
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|
276 |
+
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|
277 |
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|
278 |
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|
279 |
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|
280 |
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|
281 |
+
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|
282 |
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|
283 |
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|
284 |
+
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|
285 |
+
- pickleshare=0.7.5=py_1003
|
286 |
+
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|
287 |
+
- pixman=0.43.2=h59595ed_0
|
288 |
+
- pkg-config=0.29.2=h36c2ea0_1008
|
289 |
+
- pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
|
290 |
+
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|
291 |
+
- preshed=3.0.9=py310hc6cd4ac_1
|
292 |
+
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|
293 |
+
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|
294 |
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|
295 |
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|
296 |
+
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|
297 |
+
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|
298 |
+
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|
299 |
+
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|
300 |
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|
301 |
+
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|
302 |
+
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|
303 |
+
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|
304 |
+
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|
305 |
+
- pynvml=11.4.1=pyhd8ed1ab_0
|
306 |
+
- pyopenssl=23.3.0=pyhd8ed1ab_0
|
307 |
+
- pyparsing=3.1.1=pyhd8ed1ab_0
|
308 |
+
- pyproj=3.6.1=py310hd5c30f3_5
|
309 |
+
- pyshp=2.3.1=pyhd8ed1ab_0
|
310 |
+
- pysocks=1.7.1=py310h06a4308_0
|
311 |
+
- python=3.10.13=hd12c33a_1_cpython
|
312 |
+
- python-dateutil=2.8.2=pyhd8ed1ab_0
|
313 |
+
- python-fastjsonschema=2.19.1=pyhd8ed1ab_0
|
314 |
+
- python-json-logger=2.0.7=pyhd8ed1ab_0
|
315 |
+
- python_abi=3.10=4_cp310
|
316 |
+
- pyu2f=0.1.5=pyhd8ed1ab_0
|
317 |
+
- pyyaml=6.0.1=py310h2372a71_1
|
318 |
+
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|
319 |
+
- rdma-core=28.9=h59595ed_1
|
320 |
+
- re2=2023.02.02=hcb278e6_0
|
321 |
+
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|
322 |
+
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|
323 |
+
- reproc=14.2.4.post0=hd590300_1
|
324 |
+
- reproc-cpp=14.2.4.post0=h59595ed_1
|
325 |
+
- requests=2.31.0=pyhd8ed1ab_0
|
326 |
+
- rfc3339-validator=0.1.4=pyhd8ed1ab_0
|
327 |
+
- rfc3986-validator=0.1.1=pyh9f0ad1d_0
|
328 |
+
- rich=13.7.0=pyhd8ed1ab_0
|
329 |
+
- rmm=23.08.00=cuda12_py310_230809_gf3af0e8d_0
|
330 |
+
- rpds-py=0.16.2=py310hcb5633a_0
|
331 |
+
- rsa=4.9=pyhd8ed1ab_0
|
332 |
+
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|
333 |
+
- ruamel.yaml.clib=0.2.7=py310h2372a71_2
|
334 |
+
- ruamel_yaml=0.15.100=py310h7f8727e_0
|
335 |
+
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|
336 |
+
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|
337 |
+
- setuptools=69.0.3=pyhd8ed1ab_0
|
338 |
+
- shellingham=1.5.4=pyhd8ed1ab_0
|
339 |
+
- smart_open=6.4.0=pyhd8ed1ab_0
|
340 |
+
- snappy=1.1.10=h9fff704_0
|
341 |
+
- sniffio=1.3.0=pyhd8ed1ab_0
|
342 |
+
- sortedcontainers=2.4.0=pyhd8ed1ab_0
|
343 |
+
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|
344 |
+
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|
345 |
+
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|
346 |
+
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|
347 |
+
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|
348 |
+
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|
349 |
+
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|
350 |
+
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|
351 |
+
- tblib=3.0.0=pyhd8ed1ab_0
|
352 |
+
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|
353 |
+
- thinc=8.2.2=py310hcb52e73_0
|
354 |
+
- tinycss2=1.2.1=pyhd8ed1ab_0
|
355 |
+
- tk=8.6.13=noxft_h4845f30_101
|
356 |
+
- toolz=0.12.1=pyhd8ed1ab_0
|
357 |
+
- tornado=6.3.3=py310h2372a71_1
|
358 |
+
- tqdm=4.66.1=pyhd8ed1ab_0
|
359 |
+
- traitlets=5.9.0=pyhd8ed1ab_0
|
360 |
+
- treelite=3.2.0=py310h1be96d9_0
|
361 |
+
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|
362 |
+
- typer=0.9.0=pyhd8ed1ab_0
|
363 |
+
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|
364 |
+
- typing-extensions=4.9.0=hd8ed1ab_0
|
365 |
+
- typing_extensions=4.9.0=pyha770c72_0
|
366 |
+
- typing_utils=0.1.0=pyhd8ed1ab_0
|
367 |
+
- ucx=1.14.1=h195a15c_5
|
368 |
+
- ucx-proc=1.0.0=gpu
|
369 |
+
- ucx-py=0.33.00=py310_230809_gea1eb8f_0
|
370 |
+
- unicodedata2=15.1.0=py310h2372a71_0
|
371 |
+
- uri-template=1.3.0=pyhd8ed1ab_0
|
372 |
+
- wasabi=1.1.2=py310hff52083_0
|
373 |
+
- wcwidth=0.2.13=pyhd8ed1ab_0
|
374 |
+
- weasel=0.3.4=pyhd8ed1ab_0
|
375 |
+
- webcolors=1.13=pyhd8ed1ab_0
|
376 |
+
- webencodings=0.5.1=pyhd8ed1ab_2
|
377 |
+
- websocket-client=1.7.0=pyhd8ed1ab_0
|
378 |
+
- wheel=0.42.0=pyhd8ed1ab_0
|
379 |
+
- xorg-kbproto=1.0.7=h7f98852_1002
|
380 |
+
- xorg-libice=1.1.1=hd590300_0
|
381 |
+
- xorg-libsm=1.2.4=h7391055_0
|
382 |
+
- xorg-libx11=1.8.7=h8ee46fc_0
|
383 |
+
- xorg-libxau=1.0.11=hd590300_0
|
384 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
385 |
+
- xorg-libxext=1.3.4=h0b41bf4_2
|
386 |
+
- xorg-libxrender=0.9.11=hd590300_0
|
387 |
+
- xorg-libxt=1.3.0=hd590300_1
|
388 |
+
- xorg-renderproto=0.11.1=h7f98852_1002
|
389 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
390 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
391 |
+
- xyzservices=2023.10.1=pyhd8ed1ab_0
|
392 |
+
- xz=5.2.6=h166bdaf_0
|
393 |
+
- yaml=0.2.5=h7b6447c_0
|
394 |
+
- yaml-cpp=0.7.0=h59595ed_3
|
395 |
+
- zeromq=4.3.5=h59595ed_0
|
396 |
+
- zict=3.0.0=pyhd8ed1ab_0
|
397 |
+
- zipp=3.17.0=pyhd8ed1ab_0
|
398 |
+
- zlib=1.2.13=hd590300_5
|
399 |
+
- zstandard=0.22.0=py310h1275a96_0
|
400 |
+
- zstd=1.5.5=hfc55251_0
|
401 |
+
- pip:
|
402 |
+
- absl-py==1.4.0
|
403 |
+
- accelerate==0.27.2
|
404 |
+
- access==1.1.9
|
405 |
+
- affine==2.4.0
|
406 |
+
- aiobotocore==2.11.2
|
407 |
+
- aiofiles==22.1.0
|
408 |
+
- aiohttp-cors==0.7.0
|
409 |
+
- aioitertools==0.11.0
|
410 |
+
- aiorwlock==1.3.0
|
411 |
+
- aiosqlite==0.19.0
|
412 |
+
- albumentations==1.4.0
|
413 |
+
- alembic==1.13.1
|
414 |
+
- altair==5.2.0
|
415 |
+
- annoy==1.17.3
|
416 |
+
- apache-beam==2.46.0
|
417 |
+
- aplus==0.11.0
|
418 |
+
- appdirs==1.4.4
|
419 |
+
- array-record==0.5.0
|
420 |
+
- arviz==0.17.0
|
421 |
+
- astroid==3.0.3
|
422 |
+
- astropy==6.0.0
|
423 |
+
- astropy-iers-data==0.2024.2.19.0.28.47
|
424 |
+
- astunparse==1.6.3
|
425 |
+
- async-lru==2.0.4
|
426 |
+
- audioread==3.0.1
|
427 |
+
- autopep8==2.0.4
|
428 |
+
- babel==2.14.0
|
429 |
+
- backoff==2.2.1
|
430 |
+
- bayesian-optimization==1.4.3
|
431 |
+
- bayespy==0.5.28
|
432 |
+
- beatrix-jupyterlab==2023.128.151533
|
433 |
+
- bibtexparser==2.0.0b7
|
434 |
+
- bidict==0.23.1
|
435 |
+
- biopython==1.83
|
436 |
+
- blake3==0.2.1
|
437 |
+
- blessed==1.20.0
|
438 |
+
- blinker==1.7.0
|
439 |
+
- blosc2==2.5.1
|
440 |
+
- boruta==0.3
|
441 |
+
- boto3==1.26.100
|
442 |
+
- botocore==1.34.34
|
443 |
+
- bqplot==0.12.43
|
444 |
+
- branca==0.7.1
|
445 |
+
- brewer2mpl==1.4.1
|
446 |
+
- cachetools==4.2.4
|
447 |
+
- catalyst==22.4
|
448 |
+
- catboost==1.2.2
|
449 |
+
- category-encoders==2.6.3
|
450 |
+
- cesium==0.12.1
|
451 |
+
- chex==0.1.85
|
452 |
+
- cleverhans==4.0.0
|
453 |
+
- click-plugins==1.1.1
|
454 |
+
- cligj==0.7.2
|
455 |
+
- clldutils==3.22.2
|
456 |
+
- cloud-tpu-client==0.10
|
457 |
+
- cloud-tpu-profiler==2.4.0
|
458 |
+
- cloudpickle==2.2.1
|
459 |
+
- cmdstanpy==1.2.1
|
460 |
+
- cmudict==1.0.18
|
461 |
+
- colorcet==3.0.1
|
462 |
+
- colorful==0.5.6
|
463 |
+
- colorlog==6.8.2
|
464 |
+
- colorlover==0.3.0
|
465 |
+
- contextily==1.5.0
|
466 |
+
- convertdate==2.4.0
|
467 |
+
- crcmod==1.7
|
468 |
+
- csvw==3.3.0
|
469 |
+
- cufflinks==0.17.3
|
470 |
+
- cvxcanon==0.1.2
|
471 |
+
- cysignals==1.11.4
|
472 |
+
- cython==3.0.8
|
473 |
+
- daal==2024.1.0
|
474 |
+
- daal4py==2024.1.0
|
475 |
+
- dacite==1.8.1
|
476 |
+
- dask==2024.2.0
|
477 |
+
- dataclasses-json==0.6.4
|
478 |
+
- dataproc-jupyter-plugin==0.1.66
|
479 |
+
- datasets==2.1.0
|
480 |
+
- datashader==0.16.0
|
481 |
+
- datatile==1.0.3
|
482 |
+
- db-dtypes==1.2.0
|
483 |
+
- deap==1.4.1
|
484 |
+
- deepdiff==6.7.1
|
485 |
+
- delorean==1.0.0
|
486 |
+
- deprecated==1.2.14
|
487 |
+
- deprecation==2.1.0
|
488 |
+
- descartes==1.1.0
|
489 |
+
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|
490 |
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|
491 |
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|
492 |
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|
493 |
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|
494 |
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|
495 |
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496 |
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497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
503 |
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|
504 |
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|
505 |
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|
506 |
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|
507 |
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|
508 |
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|
509 |
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|
510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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516 |
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517 |
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518 |
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|
519 |
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|
520 |
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521 |
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|
522 |
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|
523 |
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|
524 |
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|
525 |
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|
526 |
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|
527 |
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|
528 |
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|
529 |
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|
530 |
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|
531 |
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|
532 |
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|
533 |
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|
534 |
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|
535 |
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|
536 |
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|
537 |
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|
538 |
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|
539 |
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|
540 |
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|
541 |
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|
542 |
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|
543 |
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|
544 |
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|
545 |
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|
546 |
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|
547 |
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|
548 |
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|
549 |
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|
550 |
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|
551 |
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|
552 |
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|
553 |
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|
554 |
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|
555 |
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|
556 |
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|
557 |
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|
558 |
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|
559 |
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|
560 |
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|
561 |
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562 |
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|
563 |
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|
564 |
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|
565 |
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|
566 |
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|
567 |
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|
568 |
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569 |
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|
570 |
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|
571 |
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|
572 |
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|
573 |
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|
574 |
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|
575 |
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|
576 |
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|
577 |
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|
578 |
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|
579 |
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|
580 |
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|
581 |
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|
582 |
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|
583 |
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|
584 |
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|
585 |
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|
586 |
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|
587 |
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|
588 |
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|
589 |
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|
590 |
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|
591 |
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|
592 |
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|
593 |
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|
594 |
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|
595 |
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|
596 |
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|
597 |
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|
598 |
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|
599 |
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|
600 |
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|
601 |
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|
602 |
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|
603 |
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|
604 |
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|
605 |
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|
606 |
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|
607 |
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|
608 |
+
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|
609 |
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|
610 |
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|
611 |
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|
612 |
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|
613 |
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|
614 |
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|
615 |
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|
616 |
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|
617 |
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|
618 |
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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|
623 |
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|
624 |
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|
625 |
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|
626 |
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|
627 |
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|
628 |
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|
629 |
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|
630 |
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|
631 |
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|
632 |
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|
633 |
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|
634 |
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|
635 |
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|
636 |
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|
637 |
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|
638 |
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|
639 |
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|
640 |
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|
641 |
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|
642 |
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|
643 |
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|
644 |
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|
645 |
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|
646 |
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|
647 |
+
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|
648 |
+
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|
649 |
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|
650 |
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|
651 |
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|
652 |
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653 |
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654 |
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655 |
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|
656 |
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|
657 |
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|
658 |
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|
659 |
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|
660 |
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|
661 |
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|
662 |
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|
663 |
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|
664 |
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|
665 |
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|
666 |
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|
667 |
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|
668 |
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|
669 |
+
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|
670 |
+
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|
671 |
+
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|
672 |
+
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|
673 |
+
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|
674 |
+
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|
675 |
+
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|
676 |
+
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|
677 |
+
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|
678 |
+
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|
679 |
+
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|
680 |
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|
681 |
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|
682 |
+
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|
683 |
+
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|
684 |
+
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|
685 |
+
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|
686 |
+
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|
687 |
+
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|
688 |
+
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|
689 |
+
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|
690 |
+
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|
691 |
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|
692 |
+
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|
693 |
+
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|
694 |
+
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|
695 |
+
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|
696 |
+
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|
697 |
+
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|
698 |
+
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|
699 |
+
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|
700 |
+
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|
701 |
+
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|
702 |
+
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|
703 |
+
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|
704 |
+
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|
705 |
+
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|
706 |
+
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|
707 |
+
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|
708 |
+
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|
709 |
+
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|
710 |
+
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|
711 |
+
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|
712 |
+
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|
713 |
+
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|
714 |
+
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|
715 |
+
- mccabe==0.7.0
|
716 |
+
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|
717 |
+
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|
718 |
+
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|
719 |
+
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|
720 |
+
- missingno==0.5.2
|
721 |
+
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|
722 |
+
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|
723 |
+
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|
724 |
+
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|
725 |
+
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|
726 |
+
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|
727 |
+
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|
728 |
+
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|
729 |
+
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|
730 |
+
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|
731 |
+
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|
732 |
+
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|
733 |
+
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|
734 |
+
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|
735 |
+
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|
736 |
+
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|
737 |
+
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|
738 |
+
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|
739 |
+
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|
740 |
+
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|
741 |
+
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|
742 |
+
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|
743 |
+
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|
744 |
+
- ndindex==1.8
|
745 |
+
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|
746 |
+
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|
747 |
+
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|
748 |
+
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|
749 |
+
- nltk==3.2.4
|
750 |
+
- nose==1.3.7
|
751 |
+
- notebook==6.5.6
|
752 |
+
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|
753 |
+
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|
754 |
+
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|
755 |
+
- nvidia-ml-py==11.495.46
|
756 |
+
- oauth2client==4.1.3
|
757 |
+
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|
758 |
+
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|
759 |
+
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|
760 |
+
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|
761 |
+
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|
762 |
+
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|
763 |
+
- opencensus-context==0.1.3
|
764 |
+
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|
765 |
+
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|
766 |
+
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|
767 |
+
- openpyxl==3.1.2
|
768 |
+
- openslide-python==1.3.1
|
769 |
+
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|
770 |
+
- opentelemetry-exporter-otlp==1.22.0
|
771 |
+
- opentelemetry-exporter-otlp-proto-common==1.22.0
|
772 |
+
- opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
773 |
+
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|
774 |
+
- opentelemetry-proto==1.22.0
|
775 |
+
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|
776 |
+
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|
777 |
+
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|
778 |
+
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|
779 |
+
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|
780 |
+
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|
781 |
+
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|
782 |
+
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|
783 |
+
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|
784 |
+
- ortools==9.4.1874
|
785 |
+
- osmnx==1.9.1
|
786 |
+
- packaging==21.3
|
787 |
+
- pandas==2.1.4
|
788 |
+
- pandas-datareader==0.10.0
|
789 |
+
- pandas-profiling==3.6.6
|
790 |
+
- pandas-summary==0.2.0
|
791 |
+
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|
792 |
+
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|
793 |
+
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|
794 |
+
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|
795 |
+
- path==16.10.0
|
796 |
+
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|
797 |
+
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|
798 |
+
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|
799 |
+
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|
800 |
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|
801 |
+
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|
802 |
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|
803 |
+
- pillow==9.5.0
|
804 |
+
- platformdirs==4.2.0
|
805 |
+
- plotly==5.18.0
|
806 |
+
- plotly-express==0.4.1
|
807 |
+
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|
808 |
+
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|
809 |
+
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|
810 |
+
- polyglot==16.7.4
|
811 |
+
- pooch==1.8.1
|
812 |
+
- pox==0.3.4
|
813 |
+
- ppca==0.0.4
|
814 |
+
- ppft==1.7.6.8
|
815 |
+
- preprocessing==0.1.13
|
816 |
+
- prettytable==3.9.0
|
817 |
+
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|
818 |
+
- promise==2.3
|
819 |
+
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|
820 |
+
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|
821 |
+
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|
822 |
+
- protobuf==3.20.3
|
823 |
+
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|
824 |
+
- pudb==2024.1
|
825 |
+
- pulp==2.8.0
|
826 |
+
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|
827 |
+
- py-spy==0.3.14
|
828 |
+
- py4j==0.10.9.7
|
829 |
+
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|
830 |
+
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|
831 |
+
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|
832 |
+
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|
833 |
+
- pyclipper==1.3.0.post5
|
834 |
+
- pycodestyle==2.11.1
|
835 |
+
- pycparser==2.21
|
836 |
+
- pycryptodome==3.20.0
|
837 |
+
- pyct==0.5.0
|
838 |
+
- pycuda==2024.1
|
839 |
+
- pydantic==2.5.3
|
840 |
+
- pydantic-core==2.14.6
|
841 |
+
- pydegensac==0.1.2
|
842 |
+
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|
843 |
+
- pydocstyle==6.3.0
|
844 |
+
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|
845 |
+
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|
846 |
+
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|
847 |
+
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|
848 |
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|
849 |
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|
850 |
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851 |
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|
852 |
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|
853 |
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|
854 |
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|
855 |
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|
856 |
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|
857 |
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|
858 |
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|
859 |
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860 |
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861 |
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862 |
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863 |
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864 |
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|
865 |
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|
866 |
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|
867 |
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|
868 |
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|
869 |
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|
870 |
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|
871 |
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|
872 |
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|
873 |
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|
874 |
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|
875 |
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|
876 |
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|
877 |
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|
878 |
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|
879 |
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|
880 |
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|
881 |
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|
882 |
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|
883 |
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|
884 |
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|
885 |
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|
886 |
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|
887 |
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|
888 |
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|
889 |
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|
890 |
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|
891 |
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|
892 |
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|
893 |
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|
894 |
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|
895 |
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|
896 |
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|
897 |
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|
898 |
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|
899 |
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|
900 |
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|
901 |
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|
902 |
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|
903 |
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|
904 |
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|
905 |
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|
906 |
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907 |
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908 |
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909 |
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910 |
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911 |
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912 |
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|
913 |
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914 |
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915 |
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916 |
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|
917 |
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|
918 |
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|
919 |
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920 |
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921 |
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|
922 |
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|
923 |
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924 |
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|
925 |
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|
926 |
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|
927 |
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|
928 |
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|
929 |
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930 |
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|
931 |
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|
932 |
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933 |
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934 |
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935 |
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|
936 |
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937 |
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938 |
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939 |
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940 |
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|
941 |
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942 |
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943 |
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944 |
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945 |
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|
946 |
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947 |
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948 |
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|
949 |
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950 |
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951 |
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952 |
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953 |
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954 |
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955 |
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956 |
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957 |
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958 |
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959 |
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960 |
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961 |
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962 |
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963 |
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964 |
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965 |
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966 |
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967 |
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968 |
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969 |
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970 |
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971 |
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972 |
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973 |
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974 |
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975 |
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976 |
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977 |
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|
978 |
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979 |
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980 |
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981 |
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982 |
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983 |
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984 |
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|
985 |
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986 |
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|
987 |
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|
988 |
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989 |
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990 |
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991 |
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992 |
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993 |
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994 |
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995 |
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996 |
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997 |
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998 |
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999 |
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1000 |
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1001 |
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1002 |
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1003 |
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1004 |
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1005 |
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1006 |
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1007 |
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1008 |
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1009 |
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1010 |
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1011 |
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1012 |
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1013 |
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1014 |
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1015 |
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1016 |
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1017 |
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1018 |
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1019 |
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1020 |
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1021 |
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1022 |
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1023 |
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1024 |
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1025 |
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|
1026 |
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1027 |
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1028 |
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1029 |
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1030 |
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1031 |
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1032 |
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1033 |
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1034 |
+
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1035 |
+
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1036 |
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1037 |
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1038 |
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1039 |
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1040 |
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1041 |
+
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1042 |
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1043 |
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1044 |
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1045 |
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1046 |
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1047 |
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1048 |
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1049 |
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1050 |
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1051 |
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1052 |
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|
1053 |
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1054 |
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1055 |
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1056 |
+
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1057 |
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1058 |
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|
1059 |
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|
1060 |
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|
1061 |
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1062 |
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1063 |
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1064 |
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1065 |
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1066 |
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|
1067 |
+
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|
1068 |
+
- wordsegment==1.3.1
|
1069 |
+
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|
1070 |
+
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|
1071 |
+
- xarray-einstats==0.7.0
|
1072 |
+
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1073 |
+
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1074 |
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|
1075 |
+
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|
1076 |
+
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|
1077 |
+
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1078 |
+
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|
1079 |
+
- yellowbrick==1.5
|
1080 |
+
- ypy-websocket==0.8.4
|
1081 |
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prefix: /opt/conda
|
wandb/run-20240325_163210-3h8l4wm4/files/config.yaml
ADDED
@@ -0,0 +1,38 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wandb_version: 1
|
2 |
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|
3 |
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_wandb:
|
4 |
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desc: null
|
5 |
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value:
|
6 |
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python_version: 3.10.13
|
7 |
+
cli_version: 0.16.3
|
8 |
+
framework: huggingface
|
9 |
+
huggingface_version: 4.38.1
|
10 |
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is_jupyter_run: true
|
11 |
+
is_kaggle_kernel: true
|
12 |
+
start_time: 1711384330.06634
|
13 |
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t:
|
14 |
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1:
|
15 |
+
- 1
|
16 |
+
- 2
|
17 |
+
- 3
|
18 |
+
- 5
|
19 |
+
- 11
|
20 |
+
- 12
|
21 |
+
- 41
|
22 |
+
- 49
|
23 |
+
- 51
|
24 |
+
- 53
|
25 |
+
- 55
|
26 |
+
- 71
|
27 |
+
- 100
|
28 |
+
- 105
|
29 |
+
3:
|
30 |
+
- 23
|
31 |
+
4: 3.10.13
|
32 |
+
5: 0.16.3
|
33 |
+
6: 4.38.1
|
34 |
+
8:
|
35 |
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- 1
|
36 |
+
- 2
|
37 |
+
- 5
|
38 |
+
13: linux-x86_64
|
wandb/run-20240325_163210-3h8l4wm4/files/wandb-metadata.json
ADDED
@@ -0,0 +1,62 @@
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|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-5.15.133+-x86_64-with-glibc2.31",
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3 |
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4 |
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7 |
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8 |
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9 |
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10 |
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"program": "kaggle.ipynb",
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"codePathLocal": null,
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12 |
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"root": "/kaggle/working",
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13 |
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"host": "a0cda30bfe48",
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14 |
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"username": "root",
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15 |
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16 |
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19 |
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20 |
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{
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{
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34 |
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{
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35 |
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36 |
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{
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40 |
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41 |
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"gpu": "Tesla P100-PCIE-16GB",
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"gpu_devices": [
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{
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"name": "Tesla P100-PCIE-16GB",
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"memory": {
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}
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}
|
wandb/run-20240325_163210-3h8l4wm4/logs/debug-internal.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20240325_163210-3h8l4wm4/logs/debug.log
ADDED
@@ -0,0 +1,81 @@
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|
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|
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|
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|
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|
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|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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1 |
+
2024-03-25 16:32:10,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.3
|
2 |
+
2024-03-25 16:32:10,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
|
3 |
+
2024-03-25 16:32:10,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
4 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
5 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
6 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
7 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
8 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
9 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240325_163210-3h8l4wm4/logs/debug.log
|
10 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163210-3h8l4wm4/logs/debug-internal.log
|
11 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7fc9c40c1a50>
|
12 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
13 |
+
2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
14 |
+
config: {}
|
15 |
+
2024-03-25 16:32:10,062 INFO MainThread:34 [wandb_init.py:init():616] starting backend
|
16 |
+
2024-03-25 16:32:10,062 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
|
17 |
+
2024-03-25 16:32:10,063 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
18 |
+
2024-03-25 16:32:10,066 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
|
19 |
+
2024-03-25 16:32:10,077 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
20 |
+
2024-03-25 16:32:10,807 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
|
21 |
+
2024-03-25 16:32:10,810 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
22 |
+
2024-03-25 16:32:11,061 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
|
23 |
+
2024-03-25 16:32:11,123 INFO MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.4 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
|
24 |
+
|
25 |
+
2024-03-25 16:32:11,124 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
|
26 |
+
2024-03-25 16:32:17,070 ERROR MainThread:34 [wandb_init.py:init():1204] error
|
27 |
+
Traceback (most recent call last):
|
28 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1176, in init
|
29 |
+
run = wi.init()
|
30 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 817, in init
|
31 |
+
run_start_result = run_start_handle.wait(timeout=30)
|
32 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 283, in wait
|
33 |
+
found, abandoned = self._slot._get_and_clear(timeout=wait_timeout)
|
34 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 130, in _get_and_clear
|
35 |
+
if self._wait(timeout=timeout):
|
36 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 126, in _wait
|
37 |
+
return self._event.wait(timeout=timeout)
|
38 |
+
File "/opt/conda/lib/python3.10/threading.py", line 607, in wait
|
39 |
+
signaled = self._cond.wait(timeout)
|
40 |
+
File "/opt/conda/lib/python3.10/threading.py", line 324, in wait
|
41 |
+
gotit = waiter.acquire(True, timeout)
|
42 |
+
KeyboardInterrupt
|
43 |
+
|
44 |
+
During handling of the above exception, another exception occurred:
|
45 |
+
|
46 |
+
Traceback (most recent call last):
|
47 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1184, in init
|
48 |
+
getcaller()
|
49 |
+
File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 854, in getcaller
|
50 |
+
src, line, func, stack = logger.findCaller(stack_info=True)
|
51 |
+
File "/root/.local/lib/python3.10/site-packages/log.py", line 45, in findCaller
|
52 |
+
traceback.print_stack(f, file=sio)
|
53 |
+
NameError: name 'traceback' is not defined
|
54 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.3
|
55 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
|
56 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
57 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
58 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
59 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
60 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
61 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
62 |
+
2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug.log
|
63 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug-internal.log
|
64 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
65 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
66 |
+
config: {}
|
67 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():616] starting backend
|
68 |
+
2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
|
69 |
+
2024-03-25 16:38:05,379 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
70 |
+
2024-03-25 16:38:05,380 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
|
71 |
+
2024-03-25 16:38:05,393 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
72 |
+
2024-03-25 16:38:06,176 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
|
73 |
+
2024-03-25 16:38:06,176 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
74 |
+
2024-03-25 16:38:06,413 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
|
75 |
+
2024-03-25 16:38:36,418 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
|
76 |
+
2024-03-25 16:39:06,452 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
|
77 |
+
2024-03-25 16:39:06,452 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
|
78 |
+
2024-03-25 16:39:06,453 INFO MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
|
79 |
+
2024-03-25 16:39:06,453 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
|
80 |
+
2024-03-25 16:39:06,455 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
|
81 |
+
2024-03-25 16:39:06,464 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['SegformerForImageClassification'], 'finetuning_task': None, 'id2label': {0: 'unlabeled', 1: 'paved-area', 2: 'dirt', 3: 'grass', 4: 'gravel', 5: 'water', 6: 'rocks', 7: 'pool', 8: 'vegetation', 9: 'roof', 10: 'wall', 11: 'window', 12: 'door', 13: 'fence', 14: 'fence-pole', 15: 'person', 16: 'dog', 17: 'car', 18: 'bicycle', 19: 'tree', 20: 'bald-tree', 21: 'ar-marker', 22: 'obstacle', 23: 'conflicting'}, 'label2id': {'unlabeled': 0, 'paved-area': 1, 'dirt': 2, 'grass': 3, 'gravel': 4, 'water': 5, 'rocks': 6, 'pool': 7, 'vegetation': 8, 'roof': 9, 'wall': 10, 'window': 11, 'door': 12, 'fence': 13, 'fence-pole': 14, 'person': 15, 'dog': 16, 'car': 17, 'bicycle': 18, 'tree': 19, 'bald-tree': 20, 'ar-marker': 21, 'obstacle': 22, 'conflicting': 23}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': None, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'nvidia/mit-b0', 'transformers_version': '4.38.1', 'downsampling_rates': [1, 4, 8, 16], 'image_size': 224, 'model_type': 'segformer', 'num_channels': 3, 'num_encoder_blocks': 4, 'depths': [2, 2, 2, 2], 'sr_ratios': [8, 4, 2, 1], 'hidden_sizes': [32, 64, 160, 256], 'patch_sizes': [7, 3, 3, 3], 'strides': [4, 2, 2, 2], 'mlp_ratios': [4, 4, 4, 4], 'num_attention_heads': [1, 2, 5, 8], 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.0, 'attention_probs_dropout_prob': 0.0, 'classifier_dropout_prob': 0.1, 'initializer_range': 0.02, 'drop_path_rate': 0.1, 'layer_norm_eps': 1e-06, 'decoder_hidden_size': 256, 'reshape_last_stage': True, 'semantic_loss_ignore_index': 255, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 24, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 50, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Mar25_16-38-00_a0cda30bfe48', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 4, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 20, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': False, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': 'Thalirajesh/Aerial-Drone-Image-Segmentation', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
|
wandb/run-20240325_163210-3h8l4wm4/run-3h8l4wm4.wandb
ADDED
Binary file (241 kB). View file
|
|
wandb/run-20240325_163805-af3v50r7/files/conda-environment.yaml
ADDED
@@ -0,0 +1,1081 @@
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|
1 |
+
name: base
|
2 |
+
channels:
|
3 |
+
- pytorch
|
4 |
+
- file:///tmp/conda
|
5 |
+
- rapidsai
|
6 |
+
- nvidia
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aiohttp=3.9.1=py310h2372a71_0
|
13 |
+
- aiosignal=1.3.1=pyhd8ed1ab_0
|
14 |
+
- annotated-types=0.6.0=pyhd8ed1ab_0
|
15 |
+
- anyio=4.2.0=pyhd8ed1ab_0
|
16 |
+
- archspec=0.2.2=pyhd8ed1ab_0
|
17 |
+
- argon2-cffi=23.1.0=pyhd8ed1ab_0
|
18 |
+
- argon2-cffi-bindings=21.2.0=py310h2372a71_4
|
19 |
+
- arrow=1.3.0=pyhd8ed1ab_0
|
20 |
+
- arrow-cpp=11.0.0=ha770c72_9_cpu
|
21 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
22 |
+
- async-timeout=4.0.3=pyhd8ed1ab_0
|
23 |
+
- atk-1.0=2.38.0=hd4edc92_1
|
24 |
+
- attrs=23.2.0=pyh71513ae_0
|
25 |
+
- aws-c-auth=0.6.26=h987a71b_2
|
26 |
+
- aws-c-cal=0.5.21=h48707d8_2
|
27 |
+
- aws-c-common=0.8.14=h0b41bf4_0
|
28 |
+
- aws-c-compression=0.2.16=h03acc5a_5
|
29 |
+
- aws-c-event-stream=0.2.20=h00877a2_4
|
30 |
+
- aws-c-http=0.7.6=hf342b9f_0
|
31 |
+
- aws-c-io=0.13.19=h5b20300_3
|
32 |
+
- aws-c-mqtt=0.8.6=hc4349f7_12
|
33 |
+
- aws-c-s3=0.2.7=h909e904_1
|
34 |
+
- aws-c-sdkutils=0.1.9=h03acc5a_0
|
35 |
+
- aws-checksums=0.1.14=h03acc5a_5
|
36 |
+
- aws-crt-cpp=0.19.8=hf7fbfca_12
|
37 |
+
- aws-sdk-cpp=1.10.57=h17c43bd_8
|
38 |
+
- beautifulsoup4=4.12.2=pyha770c72_0
|
39 |
+
- bleach=6.1.0=pyhd8ed1ab_0
|
40 |
+
- bokeh=3.3.4=pyhd8ed1ab_0
|
41 |
+
- boltons=23.1.1=pyhd8ed1ab_0
|
42 |
+
- brotli=1.0.9=h166bdaf_9
|
43 |
+
- brotli-bin=1.0.9=h166bdaf_9
|
44 |
+
- brotli-python=1.0.9=py310hd8f1fbe_9
|
45 |
+
- brotlipy=0.7.0=py310h7f8727e_1002
|
46 |
+
- bzip2=1.0.8=h7b6447c_0
|
47 |
+
- c-ares=1.25.0=hd590300_0
|
48 |
+
- ca-certificates=2024.2.2=hbcca054_0
|
49 |
+
- cached-property=1.5.2=hd8ed1ab_1
|
50 |
+
- cached_property=1.5.2=pyha770c72_1
|
51 |
+
- cairo=1.18.0=h3faef2a_0
|
52 |
+
- cartopy=0.22.0=py310hcc13569_1
|
53 |
+
- catalogue=2.0.10=py310hff52083_0
|
54 |
+
- certifi=2024.2.2=pyhd8ed1ab_0
|
55 |
+
- cffi=1.16.0=py310h2fee648_0
|
56 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
57 |
+
- click=8.1.7=unix_pyh707e725_0
|
58 |
+
- cloudpathlib=0.16.0=pyhd8ed1ab_0
|
59 |
+
- colorama=0.4.6=pyhd8ed1ab_0
|
60 |
+
- comm=0.2.1=pyhd8ed1ab_0
|
61 |
+
- conda=23.7.4=py310hff52083_0
|
62 |
+
- conda-libmamba-solver=23.7.0=pyhd8ed1ab_0
|
63 |
+
- conda-package-handling=2.2.0=pyh38be061_0
|
64 |
+
- conda-package-streaming=0.9.0=pyhd8ed1ab_0
|
65 |
+
- confection=0.1.4=py310h17c5347_0
|
66 |
+
- contourpy=1.2.0=py310hd41b1e2_0
|
67 |
+
- cryptography=41.0.7=py310hb8475ec_1
|
68 |
+
- cuda-cccl=12.3.101=0
|
69 |
+
- cuda-cudart=12.3.101=0
|
70 |
+
- cuda-cudart-dev=12.3.101=0
|
71 |
+
- cuda-nvcc-dev_linux-64=12.1.105=ha770c72_0
|
72 |
+
- cuda-nvcc-impl=12.1.105=hd3aeb46_0
|
73 |
+
- cuda-nvcc-tools=12.1.105=hd3aeb46_0
|
74 |
+
- cuda-nvrtc=12.1.105=hd3aeb46_0
|
75 |
+
- cuda-profiler-api=12.3.101=0
|
76 |
+
- cuda-python=12.3.0=py310h7ca8cf1_0
|
77 |
+
- cuda-version=12.1=h1d6eff3_2
|
78 |
+
- cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
79 |
+
- cuml=23.08.00=cuda12_py310_230809_gd7162cdea_0
|
80 |
+
- cupy=13.0.0=py310h7aad9d2_3
|
81 |
+
- cupy-core=13.0.0=py310had4011e_3
|
82 |
+
- curl=8.5.0=hca28451_0
|
83 |
+
- cycler=0.12.1=pyhd8ed1ab_0
|
84 |
+
- cymem=2.0.8=py310hc6cd4ac_1
|
85 |
+
- cython-blis=0.7.10=py310h1f7b6fc_2
|
86 |
+
- cytoolz=0.12.3=py310h2372a71_0
|
87 |
+
- dask-cuda=23.08.00=py310_230809_gefbd6ca_0
|
88 |
+
- dask-cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
89 |
+
- debugpy=1.8.0=py310hc6cd4ac_1
|
90 |
+
- decorator=5.1.1=pyhd8ed1ab_0
|
91 |
+
- defusedxml=0.7.1=pyhd8ed1ab_0
|
92 |
+
- distributed=2023.7.1=pyhd8ed1ab_0
|
93 |
+
- distro=1.9.0=pyhd8ed1ab_0
|
94 |
+
- dlenv-tf-2-15-gpu=1.0.20240111=py310ha20f8e0_0
|
95 |
+
- dlpack=0.5=h9c3ff4c_0
|
96 |
+
- entrypoints=0.4=pyhd8ed1ab_0
|
97 |
+
- exceptiongroup=1.2.0=pyhd8ed1ab_2
|
98 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
99 |
+
- expat=2.5.0=hcb278e6_1
|
100 |
+
- fastrlock=0.8.2=py310hc6cd4ac_2
|
101 |
+
- fftw=3.3.10=nompi_hc118613_108
|
102 |
+
- fmt=9.1.0=h924138e_0
|
103 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
104 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
105 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
106 |
+
- font-ttf-ubuntu=0.83=h77eed37_1
|
107 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
108 |
+
- fonts-conda-ecosystem=1=0
|
109 |
+
- fonts-conda-forge=1=0
|
110 |
+
- fqdn=1.5.1=pyhd8ed1ab_0
|
111 |
+
- freetype=2.12.1=h267a509_2
|
112 |
+
- fribidi=1.0.10=h36c2ea0_0
|
113 |
+
- frozenlist=1.4.1=py310h2372a71_0
|
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|
133 |
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142 |
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167 |
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170 |
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|
176 |
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178 |
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|
180 |
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181 |
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182 |
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183 |
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187 |
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188 |
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|
189 |
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191 |
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|
192 |
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193 |
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195 |
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|
196 |
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|
197 |
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|
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|
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|
200 |
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|
201 |
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|
202 |
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|
203 |
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|
204 |
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|
205 |
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|
206 |
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|
207 |
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|
208 |
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|
209 |
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|
210 |
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|
211 |
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212 |
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213 |
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214 |
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|
215 |
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|
216 |
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|
217 |
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218 |
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219 |
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220 |
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222 |
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223 |
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224 |
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|
225 |
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|
226 |
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|
227 |
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|
228 |
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229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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236 |
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237 |
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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|
242 |
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|
243 |
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|
244 |
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|
245 |
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|
246 |
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247 |
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|
248 |
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|
249 |
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|
250 |
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|
251 |
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|
252 |
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|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
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|
259 |
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|
260 |
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|
261 |
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|
262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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|
284 |
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|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
292 |
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|
293 |
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|
294 |
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|
295 |
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|
296 |
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|
297 |
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|
298 |
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|
299 |
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|
300 |
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|
301 |
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|
302 |
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|
303 |
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304 |
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|
305 |
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|
306 |
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
319 |
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|
320 |
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|
321 |
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|
322 |
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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333 |
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|
334 |
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335 |
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|
336 |
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|
337 |
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|
338 |
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|
339 |
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|
340 |
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341 |
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342 |
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343 |
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344 |
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345 |
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346 |
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347 |
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|
348 |
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349 |
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350 |
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|
351 |
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|
352 |
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|
353 |
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354 |
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355 |
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356 |
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357 |
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358 |
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359 |
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360 |
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361 |
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|
362 |
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|
363 |
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364 |
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365 |
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366 |
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367 |
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|
368 |
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|
369 |
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370 |
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371 |
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372 |
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373 |
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374 |
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375 |
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376 |
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377 |
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382 |
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383 |
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386 |
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390 |
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391 |
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392 |
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394 |
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395 |
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396 |
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397 |
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398 |
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400 |
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401 |
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402 |
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403 |
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404 |
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405 |
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406 |
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|
407 |
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408 |
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409 |
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410 |
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411 |
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412 |
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413 |
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|
414 |
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|
415 |
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416 |
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417 |
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418 |
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419 |
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420 |
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421 |
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422 |
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423 |
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|
424 |
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425 |
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426 |
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|
427 |
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|
428 |
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|
429 |
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|
430 |
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431 |
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432 |
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433 |
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434 |
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435 |
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436 |
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|
437 |
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|
438 |
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439 |
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|
440 |
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|
441 |
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|
442 |
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|
443 |
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444 |
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445 |
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|
446 |
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|
447 |
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|
448 |
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|
449 |
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|
450 |
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|
451 |
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|
452 |
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|
453 |
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|
454 |
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|
455 |
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|
456 |
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|
457 |
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|
458 |
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|
459 |
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|
460 |
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|
461 |
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|
462 |
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|
463 |
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|
464 |
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|
465 |
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|
466 |
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|
467 |
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|
468 |
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|
469 |
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470 |
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|
471 |
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|
472 |
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|
473 |
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|
474 |
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|
475 |
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|
476 |
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477 |
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478 |
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480 |
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481 |
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|
482 |
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|
483 |
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|
484 |
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|
485 |
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|
486 |
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|
487 |
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|
488 |
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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|
493 |
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|
494 |
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|
495 |
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|
496 |
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|
497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
503 |
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|
504 |
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|
505 |
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|
506 |
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|
507 |
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|
508 |
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|
509 |
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|
510 |
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|
511 |
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|
512 |
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513 |
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514 |
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515 |
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|
516 |
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517 |
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|
518 |
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|
519 |
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|
520 |
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521 |
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|
522 |
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|
523 |
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|
524 |
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|
525 |
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|
526 |
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|
527 |
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|
528 |
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|
529 |
+
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|
530 |
+
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|
531 |
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|
532 |
+
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|
533 |
+
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|
534 |
+
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|
535 |
+
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|
536 |
+
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|
537 |
+
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|
538 |
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|
539 |
+
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|
540 |
+
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|
541 |
+
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|
542 |
+
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|
543 |
+
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|
544 |
+
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|
545 |
+
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|
546 |
+
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|
547 |
+
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|
548 |
+
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|
549 |
+
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|
550 |
+
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|
551 |
+
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|
552 |
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|
553 |
+
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|
554 |
+
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|
555 |
+
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|
556 |
+
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|
557 |
+
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|
558 |
+
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|
559 |
+
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|
560 |
+
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|
561 |
+
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|
562 |
+
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|
563 |
+
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|
564 |
+
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|
565 |
+
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|
566 |
+
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|
567 |
+
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|
568 |
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|
569 |
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|
570 |
+
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|
571 |
+
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|
572 |
+
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|
573 |
+
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|
574 |
+
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|
575 |
+
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|
576 |
+
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|
577 |
+
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|
578 |
+
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|
579 |
+
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|
580 |
+
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|
581 |
+
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|
582 |
+
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|
583 |
+
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|
584 |
+
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|
585 |
+
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|
586 |
+
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|
587 |
+
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|
588 |
+
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|
589 |
+
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|
590 |
+
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|
591 |
+
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|
592 |
+
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|
593 |
+
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|
594 |
+
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|
595 |
+
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|
596 |
+
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|
597 |
+
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|
598 |
+
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|
599 |
+
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|
600 |
+
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|
601 |
+
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|
602 |
+
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|
603 |
+
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|
604 |
+
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|
605 |
+
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|
606 |
+
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|
607 |
+
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|
608 |
+
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|
609 |
+
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|
610 |
+
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|
611 |
+
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|
612 |
+
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|
613 |
+
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|
614 |
+
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|
615 |
+
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|
616 |
+
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|
617 |
+
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|
618 |
+
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|
619 |
+
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|
620 |
+
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|
621 |
+
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|
622 |
+
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|
623 |
+
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|
624 |
+
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|
625 |
+
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|
626 |
+
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|
627 |
+
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|
628 |
+
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|
629 |
+
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|
630 |
+
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|
631 |
+
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|
632 |
+
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|
633 |
+
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|
634 |
+
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|
635 |
+
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|
636 |
+
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|
637 |
+
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|
638 |
+
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|
639 |
+
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|
640 |
+
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|
641 |
+
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|
642 |
+
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|
643 |
+
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|
644 |
+
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|
645 |
+
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|
646 |
+
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|
647 |
+
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|
648 |
+
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|
649 |
+
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|
650 |
+
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|
651 |
+
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|
652 |
+
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653 |
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654 |
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655 |
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|
656 |
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|
657 |
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658 |
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659 |
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|
660 |
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|
661 |
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|
662 |
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|
663 |
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|
664 |
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|
665 |
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|
666 |
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667 |
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|
668 |
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|
669 |
+
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|
670 |
+
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|
671 |
+
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|
672 |
+
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|
673 |
+
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|
674 |
+
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|
675 |
+
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|
676 |
+
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|
677 |
+
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|
678 |
+
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|
679 |
+
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|
680 |
+
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|
681 |
+
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|
682 |
+
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|
683 |
+
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|
684 |
+
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|
685 |
+
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|
686 |
+
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|
687 |
+
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|
688 |
+
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|
689 |
+
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|
690 |
+
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|
691 |
+
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|
692 |
+
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|
693 |
+
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|
694 |
+
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|
695 |
+
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|
696 |
+
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|
697 |
+
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|
698 |
+
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|
699 |
+
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|
700 |
+
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|
701 |
+
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|
702 |
+
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|
703 |
+
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|
704 |
+
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|
705 |
+
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|
706 |
+
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|
707 |
+
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|
708 |
+
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|
709 |
+
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|
710 |
+
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|
711 |
+
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|
712 |
+
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|
713 |
+
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|
714 |
+
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|
715 |
+
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|
716 |
+
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|
717 |
+
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|
718 |
+
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|
719 |
+
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|
720 |
+
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|
721 |
+
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|
722 |
+
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|
723 |
+
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|
724 |
+
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|
725 |
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|
726 |
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|
727 |
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|
728 |
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|
729 |
+
- mnist==0.2.2
|
730 |
+
- mock==5.1.0
|
731 |
+
- momepy==0.7.0
|
732 |
+
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|
733 |
+
- mpld3==0.5.10
|
734 |
+
- mpmath==1.3.0
|
735 |
+
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|
736 |
+
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|
737 |
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- multipledispatch==1.0.0
|
738 |
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- multiprocess==0.70.16
|
739 |
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|
740 |
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- namex==0.0.7
|
741 |
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- nbclient==0.5.13
|
742 |
+
- nbconvert==6.4.5
|
743 |
+
- nbdime==3.2.0
|
744 |
+
- ndindex==1.8
|
745 |
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- networkx==3.2.1
|
746 |
+
- nibabel==5.2.0
|
747 |
+
- nilearn==0.10.3
|
748 |
+
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|
749 |
+
- nltk==3.2.4
|
750 |
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- nose==1.3.7
|
751 |
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- notebook==6.5.6
|
752 |
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- notebook-executor==0.2
|
753 |
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|
754 |
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- numexpr==2.9.0
|
755 |
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- nvidia-ml-py==11.495.46
|
756 |
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- oauth2client==4.1.3
|
757 |
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|
758 |
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|
759 |
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|
760 |
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- olefile==0.47
|
761 |
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|
762 |
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|
763 |
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|
764 |
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|
765 |
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|
766 |
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|
767 |
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|
768 |
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|
769 |
+
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|
770 |
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- opentelemetry-exporter-otlp==1.22.0
|
771 |
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|
772 |
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|
773 |
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|
774 |
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- opentelemetry-proto==1.22.0
|
775 |
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- opentelemetry-sdk==1.22.0
|
776 |
+
- opentelemetry-semantic-conventions==0.43b0
|
777 |
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|
778 |
+
- optax==0.1.9
|
779 |
+
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|
780 |
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|
781 |
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|
782 |
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|
783 |
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|
784 |
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- ortools==9.4.1874
|
785 |
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- osmnx==1.9.1
|
786 |
+
- packaging==21.3
|
787 |
+
- pandas==2.1.4
|
788 |
+
- pandas-datareader==0.10.0
|
789 |
+
- pandas-profiling==3.6.6
|
790 |
+
- pandas-summary==0.2.0
|
791 |
+
- pandasql==0.7.3
|
792 |
+
- panel==1.3.8
|
793 |
+
- papermill==2.5.0
|
794 |
+
- param==2.0.2
|
795 |
+
- path==16.10.0
|
796 |
+
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|
797 |
+
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|
798 |
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|
799 |
+
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|
800 |
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|
801 |
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|
802 |
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|
803 |
+
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|
804 |
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|
805 |
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- plotly==5.18.0
|
806 |
+
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|
807 |
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|
808 |
+
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|
809 |
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|
810 |
+
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|
811 |
+
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|
812 |
+
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|
813 |
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|
814 |
+
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|
815 |
+
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|
816 |
+
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|
817 |
+
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|
818 |
+
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|
819 |
+
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|
820 |
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|
821 |
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- prophet==1.1.1
|
822 |
+
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|
823 |
+
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|
824 |
+
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|
825 |
+
- pulp==2.8.0
|
826 |
+
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|
827 |
+
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|
828 |
+
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|
829 |
+
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|
830 |
+
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|
831 |
+
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|
832 |
+
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|
833 |
+
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|
834 |
+
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|
835 |
+
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|
836 |
+
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|
837 |
+
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|
838 |
+
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|
839 |
+
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|
840 |
+
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|
841 |
+
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|
842 |
+
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|
843 |
+
- pydocstyle==6.3.0
|
844 |
+
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|
845 |
+
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|
846 |
+
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|
847 |
+
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|
848 |
+
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|
849 |
+
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|
850 |
+
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|
851 |
+
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|
852 |
+
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|
853 |
+
- pyjwt==2.8.0
|
854 |
+
- pykalman==0.9.5
|
855 |
+
- pylatexenc==2.10
|
856 |
+
- pyldavis==3.4.1
|
857 |
+
- pylint==3.0.3
|
858 |
+
- pymc3==3.11.4
|
859 |
+
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|
860 |
+
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|
861 |
+
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|
862 |
+
- pynndescent==0.5.11
|
863 |
+
- pynvrtc==9.2
|
864 |
+
- pyocr==0.8.5
|
865 |
+
- pypdf==4.0.2
|
866 |
+
- pysal==24.1
|
867 |
+
- pytesseract==0.3.10
|
868 |
+
- pytest==8.0.1
|
869 |
+
- python-bidi==0.4.2
|
870 |
+
- python-dotenv==1.0.0
|
871 |
+
- python-graphviz==0.20.1
|
872 |
+
- python-levenshtein==0.25.0
|
873 |
+
- python-louvain==0.16
|
874 |
+
- python-lsp-jsonrpc==1.1.2
|
875 |
+
- python-lsp-server==1.10.0
|
876 |
+
- python-slugify==8.0.4
|
877 |
+
- python-utils==3.8.2
|
878 |
+
- pythreejs==2.4.2
|
879 |
+
- pytoolconfig==1.3.1
|
880 |
+
- pytools==2023.1.1
|
881 |
+
- pytorch-ignite==0.4.13
|
882 |
+
- pytorch-lightning==2.2.0.post0
|
883 |
+
- pytz==2023.3.post1
|
884 |
+
- pyupset==0.1.1.post7
|
885 |
+
- pyviz-comms==3.0.1
|
886 |
+
- pywavelets==1.5.0
|
887 |
+
- pyzmq==24.0.1
|
888 |
+
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|
889 |
+
- qtconsole==5.5.1
|
890 |
+
- qtpy==2.4.1
|
891 |
+
- quantecon==0.7.1
|
892 |
+
- quantities==0.15.0
|
893 |
+
- qudida==0.0.4
|
894 |
+
- rapidfuzz==3.6.1
|
895 |
+
- rasterio==1.3.9
|
896 |
+
- rasterstats==0.19.0
|
897 |
+
- ray==2.9.0
|
898 |
+
- ray-cpp==2.9.0
|
899 |
+
- rdflib==7.0.0
|
900 |
+
- regex==2023.12.25
|
901 |
+
- requests-oauthlib==1.3.1
|
902 |
+
- requests-toolbelt==0.10.1
|
903 |
+
- responses==0.18.0
|
904 |
+
- retrying==1.3.4
|
905 |
+
- rfc3986==1.5.0
|
906 |
+
- rgf-python==3.12.0
|
907 |
+
- rich-click==1.7.3
|
908 |
+
- rope==1.12.0
|
909 |
+
- rtree==1.2.0
|
910 |
+
- s2sphere==0.2.5
|
911 |
+
- s3fs==2024.2.0
|
912 |
+
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|
913 |
+
- safetensors==0.4.2
|
914 |
+
- scattertext==0.1.19
|
915 |
+
- scikit-image==0.22.0
|
916 |
+
- scikit-learn==1.2.2
|
917 |
+
- scikit-learn-intelex==2024.1.0
|
918 |
+
- scikit-multilearn==0.2.0
|
919 |
+
- scikit-optimize==0.9.0
|
920 |
+
- scikit-plot==0.3.7
|
921 |
+
- scikit-surprise==1.1.3
|
922 |
+
- scipy==1.11.4
|
923 |
+
- seaborn==0.12.2
|
924 |
+
- secretstorage==3.3.3
|
925 |
+
- segment-anything==1.0
|
926 |
+
- segments==2.2.1
|
927 |
+
- segregation==2.5
|
928 |
+
- semver==3.0.2
|
929 |
+
- sentencepiece==0.2.0
|
930 |
+
- sentry-sdk==1.40.5
|
931 |
+
- setproctitle==1.3.3
|
932 |
+
- setuptools-git==1.2
|
933 |
+
- setuptools-scm==8.0.4
|
934 |
+
- shap==0.44.1
|
935 |
+
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|
936 |
+
- shimmy==1.3.0
|
937 |
+
- simpervisor==1.0.0
|
938 |
+
- simpleitk==2.3.1
|
939 |
+
- simplejson==3.19.2
|
940 |
+
- six==1.16.0
|
941 |
+
- sklearn-pandas==2.2.0
|
942 |
+
- slicer==0.0.7
|
943 |
+
- smhasher==0.150.1
|
944 |
+
- smmap==5.0.1
|
945 |
+
- snowballstemmer==2.2.0
|
946 |
+
- snuggs==1.4.7
|
947 |
+
- soundfile==0.12.1
|
948 |
+
- soxr==0.3.7
|
949 |
+
- spaghetti==1.7.5.post1
|
950 |
+
- spectral==0.23.1
|
951 |
+
- spglm==1.1.0
|
952 |
+
- sphinx-rtd-theme==0.2.4
|
953 |
+
- spint==1.0.7
|
954 |
+
- splot==1.1.5.post1
|
955 |
+
- spopt==0.6.0
|
956 |
+
- spreg==1.4.2
|
957 |
+
- spvcm==0.3.0
|
958 |
+
- sqlalchemy==2.0.25
|
959 |
+
- sqlparse==0.4.4
|
960 |
+
- squarify==0.4.3
|
961 |
+
- stable-baselines3==2.1.0
|
962 |
+
- stack-data==0.6.3
|
963 |
+
- stanio==0.3.0
|
964 |
+
- starlette==0.32.0.post1
|
965 |
+
- statsmodels==0.14.1
|
966 |
+
- stemming==1.0.1
|
967 |
+
- stop-words==2018.7.23
|
968 |
+
- stopit==1.1.2
|
969 |
+
- stumpy==1.12.0
|
970 |
+
- sympy==1.12
|
971 |
+
- tables==3.9.2
|
972 |
+
- tabulate==0.9.0
|
973 |
+
- tangled-up-in-unicode==0.2.0
|
974 |
+
- tbb==2021.11.0
|
975 |
+
- tenacity==8.2.3
|
976 |
+
- tensorboard==2.15.1
|
977 |
+
- tensorboard-data-server==0.7.2
|
978 |
+
- tensorboard-plugin-profile==2.15.0
|
979 |
+
- tensorboardx==2.6.2.2
|
980 |
+
- tensorflow==2.15.0
|
981 |
+
- tensorflow-cloud==0.1.16
|
982 |
+
- tensorflow-datasets==4.9.4
|
983 |
+
- tensorflow-decision-forests==1.8.1
|
984 |
+
- tensorflow-estimator==2.15.0
|
985 |
+
- tensorflow-hub==0.16.1
|
986 |
+
- tensorflow-io==0.35.0
|
987 |
+
- tensorflow-io-gcs-filesystem==0.35.0
|
988 |
+
- tensorflow-metadata==0.14.0
|
989 |
+
- tensorflow-probability==0.23.0
|
990 |
+
- tensorflow-serving-api==2.14.1
|
991 |
+
- tensorflow-text==2.15.0
|
992 |
+
- tensorflow-transform==0.14.0
|
993 |
+
- tensorpack==0.11
|
994 |
+
- tensorstore==0.1.53
|
995 |
+
- termcolor==2.4.0
|
996 |
+
- testpath==0.6.0
|
997 |
+
- text-unidecode==1.3
|
998 |
+
- textblob==0.18.0.post0
|
999 |
+
- texttable==1.7.0
|
1000 |
+
- tf-keras==2.15.0
|
1001 |
+
- tfp-nightly==0.24.0.dev0
|
1002 |
+
- theano==1.0.5
|
1003 |
+
- theano-pymc==1.1.2
|
1004 |
+
- threadpoolctl==3.2.0
|
1005 |
+
- tifffile==2023.12.9
|
1006 |
+
- timm==0.9.16
|
1007 |
+
- tobler==0.11.2
|
1008 |
+
- tokenizers==0.15.2
|
1009 |
+
- toml==0.10.2
|
1010 |
+
- tomli==2.0.1
|
1011 |
+
- tomlkit==0.12.3
|
1012 |
+
- torch==2.1.2
|
1013 |
+
- torchaudio==2.1.2
|
1014 |
+
- torchdata==0.7.1
|
1015 |
+
- torchinfo==1.8.0
|
1016 |
+
- torchmetrics==1.3.1
|
1017 |
+
- torchtext==0.16.2
|
1018 |
+
- torchvision==0.16.2
|
1019 |
+
- tpot==0.12.1
|
1020 |
+
- traceml==1.0.8
|
1021 |
+
- traittypes==0.2.1
|
1022 |
+
- transformers==4.38.1
|
1023 |
+
- treelite-runtime==3.2.0
|
1024 |
+
- trueskill==0.4.5
|
1025 |
+
- trx-python==0.2.9
|
1026 |
+
- tsfresh==0.20.2
|
1027 |
+
- typeguard==4.1.5
|
1028 |
+
- typing-inspect==0.9.0
|
1029 |
+
- tzdata==2023.4
|
1030 |
+
- tzlocal==5.2
|
1031 |
+
- uc-micro-py==1.0.3
|
1032 |
+
- ujson==5.9.0
|
1033 |
+
- umap-learn==0.5.5
|
1034 |
+
- unidecode==1.3.8
|
1035 |
+
- update-checker==0.18.0
|
1036 |
+
- uritemplate==3.0.1
|
1037 |
+
- urllib3==1.26.18
|
1038 |
+
- urwid==2.6.4
|
1039 |
+
- urwid-readline==0.13
|
1040 |
+
- uvicorn==0.25.0
|
1041 |
+
- uvloop==0.19.0
|
1042 |
+
- vaex==4.17.0
|
1043 |
+
- vaex-astro==0.9.3
|
1044 |
+
- vaex-core==4.17.1
|
1045 |
+
- vaex-hdf5==0.14.1
|
1046 |
+
- vaex-jupyter==0.8.2
|
1047 |
+
- vaex-ml==0.18.3
|
1048 |
+
- vaex-server==0.9.0
|
1049 |
+
- vaex-viz==0.5.4
|
1050 |
+
- vec-noise==1.1.4
|
1051 |
+
- vecstack==0.4.0
|
1052 |
+
- virtualenv==20.21.0
|
1053 |
+
- visions==0.7.5
|
1054 |
+
- vowpalwabbit==9.9.0
|
1055 |
+
- vtk==9.3.0
|
1056 |
+
- wand==0.6.13
|
1057 |
+
- wandb==0.16.3
|
1058 |
+
- watchfiles==0.21.0
|
1059 |
+
- wavio==0.0.8
|
1060 |
+
- websockets==12.0
|
1061 |
+
- werkzeug==3.0.1
|
1062 |
+
- wfdb==4.1.2
|
1063 |
+
- whatthepatch==1.0.5
|
1064 |
+
- widgetsnbextension==3.6.6
|
1065 |
+
- witwidget==1.8.1
|
1066 |
+
- woodwork==0.28.0
|
1067 |
+
- wordcloud==1.9.3
|
1068 |
+
- wordsegment==1.3.1
|
1069 |
+
- wrapt==1.14.1
|
1070 |
+
- xarray==2024.2.0
|
1071 |
+
- xarray-einstats==0.7.0
|
1072 |
+
- xgboost==2.0.3
|
1073 |
+
- xvfbwrapper==0.2.9
|
1074 |
+
- xxhash==3.4.1
|
1075 |
+
- y-py==0.6.2
|
1076 |
+
- yapf==0.40.2
|
1077 |
+
- yarl==1.9.4
|
1078 |
+
- ydata-profiling==4.6.4
|
1079 |
+
- yellowbrick==1.5
|
1080 |
+
- ypy-websocket==0.8.4
|
1081 |
+
prefix: /opt/conda
|
wandb/run-20240325_163805-af3v50r7/files/config.yaml
ADDED
@@ -0,0 +1,806 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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724 |
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725 |
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726 |
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727 |
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|
728 |
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729 |
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hub_model_id:
|
730 |
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desc: null
|
731 |
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value: Thalirajesh/Aerial-Drone-Image-Segmentation
|
732 |
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hub_strategy:
|
733 |
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desc: null
|
734 |
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value: every_save
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735 |
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736 |
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desc: null
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737 |
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value: <HUB_TOKEN>
|
738 |
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hub_private_repo:
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739 |
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desc: null
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740 |
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value: false
|
741 |
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hub_always_push:
|
742 |
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desc: null
|
743 |
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value: false
|
744 |
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gradient_checkpointing:
|
745 |
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desc: null
|
746 |
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value: false
|
747 |
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gradient_checkpointing_kwargs:
|
748 |
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desc: null
|
749 |
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value: null
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750 |
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include_inputs_for_metrics:
|
751 |
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desc: null
|
752 |
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value: false
|
753 |
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fp16_backend:
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754 |
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desc: null
|
755 |
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value: auto
|
756 |
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push_to_hub_model_id:
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757 |
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desc: null
|
758 |
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|
759 |
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push_to_hub_organization:
|
760 |
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desc: null
|
761 |
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value: null
|
762 |
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push_to_hub_token:
|
763 |
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desc: null
|
764 |
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value: <PUSH_TO_HUB_TOKEN>
|
765 |
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mp_parameters:
|
766 |
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desc: null
|
767 |
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value: ''
|
768 |
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auto_find_batch_size:
|
769 |
+
desc: null
|
770 |
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value: false
|
771 |
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full_determinism:
|
772 |
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desc: null
|
773 |
+
value: false
|
774 |
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torchdynamo:
|
775 |
+
desc: null
|
776 |
+
value: null
|
777 |
+
ray_scope:
|
778 |
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desc: null
|
779 |
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value: last
|
780 |
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ddp_timeout:
|
781 |
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desc: null
|
782 |
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value: 1800
|
783 |
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torch_compile:
|
784 |
+
desc: null
|
785 |
+
value: false
|
786 |
+
torch_compile_backend:
|
787 |
+
desc: null
|
788 |
+
value: null
|
789 |
+
torch_compile_mode:
|
790 |
+
desc: null
|
791 |
+
value: null
|
792 |
+
dispatch_batches:
|
793 |
+
desc: null
|
794 |
+
value: null
|
795 |
+
split_batches:
|
796 |
+
desc: null
|
797 |
+
value: null
|
798 |
+
include_tokens_per_second:
|
799 |
+
desc: null
|
800 |
+
value: false
|
801 |
+
include_num_input_tokens_seen:
|
802 |
+
desc: null
|
803 |
+
value: false
|
804 |
+
neftune_noise_alpha:
|
805 |
+
desc: null
|
806 |
+
value: null
|
wandb/run-20240325_163805-af3v50r7/files/output.log
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
/root/.cache/huggingface/modules/evaluate_modules/metrics/evaluate-metric--mean_iou/08bc20f4f895f3caf75fb9e3fada1404bded3c3265243d05327cbb3b9326ffe9/mean_iou.py:260: RuntimeWarning: invalid value encountered in divide
|
2 |
+
acc = total_area_intersect / total_area_label
|
3 |
+
/root/.cache/huggingface/modules/evaluate_modules/metrics/evaluate-metric--mean_iou/08bc20f4f895f3caf75fb9e3fada1404bded3c3265243d05327cbb3b9326ffe9/mean_iou.py:259: RuntimeWarning: invalid value encountered in divide
|
4 |
+
iou = total_area_intersect / total_area_union
|
5 |
+
/root/.cache/huggingface/modules/evaluate_modules/metrics/evaluate-metric--mean_iou/08bc20f4f895f3caf75fb9e3fada1404bded3c3265243d05327cbb3b9326ffe9/mean_iou.py:259: RuntimeWarning: invalid value encountered in divide
|
6 |
+
iou = total_area_intersect / total_area_union
|
7 |
+
/root/.cache/huggingface/modules/evaluate_modules/metrics/evaluate-metric--mean_iou/08bc20f4f895f3caf75fb9e3fada1404bded3c3265243d05327cbb3b9326ffe9/mean_iou.py:260: RuntimeWarning: invalid value encountered in divide
|
wandb/run-20240325_163805-af3v50r7/files/requirements.txt
ADDED
@@ -0,0 +1,860 @@
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|
|
1 |
+
absl-py==1.4.0
|
2 |
+
accelerate==0.27.2
|
3 |
+
access==1.1.9
|
4 |
+
affine==2.4.0
|
5 |
+
aiobotocore==2.11.2
|
6 |
+
aiofiles==22.1.0
|
7 |
+
aiohttp-cors==0.7.0
|
8 |
+
aiohttp==3.9.1
|
9 |
+
aioitertools==0.11.0
|
10 |
+
aiorwlock==1.3.0
|
11 |
+
aiosignal==1.3.1
|
12 |
+
aiosqlite==0.19.0
|
13 |
+
albumentations==1.4.0
|
14 |
+
alembic==1.13.1
|
15 |
+
altair==5.2.0
|
16 |
+
annotated-types==0.6.0
|
17 |
+
annoy==1.17.3
|
18 |
+
anyio==4.2.0
|
19 |
+
apache-beam==2.46.0
|
20 |
+
aplus==0.11.0
|
21 |
+
appdirs==1.4.4
|
22 |
+
archspec==0.2.2
|
23 |
+
argon2-cffi-bindings==21.2.0
|
24 |
+
argon2-cffi==23.1.0
|
25 |
+
array-record==0.5.0
|
26 |
+
arrow==1.3.0
|
27 |
+
arviz==0.17.0
|
28 |
+
astroid==3.0.3
|
29 |
+
astropy-iers-data==0.2024.2.19.0.28.47
|
30 |
+
astropy==6.0.0
|
31 |
+
asttokens==2.4.1
|
32 |
+
astunparse==1.6.3
|
33 |
+
async-lru==2.0.4
|
34 |
+
async-timeout==4.0.3
|
35 |
+
attrs==23.2.0
|
36 |
+
audioread==3.0.1
|
37 |
+
autopep8==2.0.4
|
38 |
+
babel==2.14.0
|
39 |
+
backoff==2.2.1
|
40 |
+
bayesian-optimization==1.4.3
|
41 |
+
bayespy==0.5.28
|
42 |
+
beatrix-jupyterlab==2023.128.151533
|
43 |
+
beautifulsoup4==4.12.2
|
44 |
+
bibtexparser==2.0.0b7
|
45 |
+
bidict==0.23.1
|
46 |
+
biopython==1.83
|
47 |
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blake3==0.2.1
|
48 |
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bleach==6.1.0
|
49 |
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blessed==1.20.0
|
50 |
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blinker==1.7.0
|
51 |
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blis==0.7.10
|
52 |
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blosc2==2.5.1
|
53 |
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bokeh==3.3.4
|
54 |
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boltons==23.1.1
|
55 |
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boruta==0.3
|
56 |
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boto3==1.26.100
|
57 |
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botocore==1.34.34
|
58 |
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bq-helper==0.4.1
|
59 |
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bqplot==0.12.43
|
60 |
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branca==0.7.1
|
61 |
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brewer2mpl==1.4.1
|
62 |
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brotli==1.0.9
|
63 |
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brotlipy==0.7.0
|
64 |
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cached-property==1.5.2
|
65 |
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cachetools==4.2.4
|
66 |
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cartopy==0.22.0
|
67 |
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catalogue==2.0.10
|
68 |
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catalyst==22.4
|
69 |
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catboost==1.2.2
|
70 |
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category-encoders==2.6.3
|
71 |
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certifi==2024.2.2
|
72 |
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cesium==0.12.1
|
73 |
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cffi==1.16.0
|
74 |
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charset-normalizer==3.3.2
|
75 |
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chex==0.1.85
|
76 |
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cleverhans==4.0.0
|
77 |
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click-plugins==1.1.1
|
78 |
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click==8.1.7
|
79 |
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cligj==0.7.2
|
80 |
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clldutils==3.22.2
|
81 |
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cloud-tpu-client==0.10
|
82 |
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cloud-tpu-profiler==2.4.0
|
83 |
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cloudpathlib==0.16.0
|
84 |
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cloudpickle==2.2.1
|
85 |
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cmdstanpy==1.2.1
|
86 |
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cmudict==1.0.18
|
87 |
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colorama==0.4.6
|
88 |
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colorcet==3.0.1
|
89 |
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colorful==0.5.6
|
90 |
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colorlog==6.8.2
|
91 |
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colorlover==0.3.0
|
92 |
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comm==0.2.1
|
93 |
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conda-libmamba-solver==23.7.0
|
94 |
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conda-package-handling==2.2.0
|
95 |
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conda-package-streaming==0.9.0
|
96 |
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conda==23.7.4
|
97 |
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confection==0.1.4
|
98 |
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contextily==1.5.0
|
99 |
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contourpy==1.2.0
|
100 |
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convertdate==2.4.0
|
101 |
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crcmod==1.7
|
102 |
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cryptography==41.0.7
|
103 |
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csvw==3.3.0
|
104 |
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cuda-python==12.3.0
|
105 |
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cudf==23.8.0
|
106 |
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cufflinks==0.17.3
|
107 |
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cuml==23.8.0
|
108 |
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cupy==13.0.0
|
109 |
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cvxcanon==0.1.2
|
110 |
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cycler==0.12.1
|
111 |
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cymem==2.0.8
|
112 |
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cysignals==1.11.4
|
113 |
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cython==3.0.8
|
114 |
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cytoolz==0.12.3
|
115 |
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daal4py==2024.1.0
|
116 |
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daal==2024.1.0
|
117 |
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dacite==1.8.1
|
118 |
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dask-cuda==23.8.0
|
119 |
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dask-cudf==23.8.0
|
120 |
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dask==2024.2.0
|
121 |
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dataclasses-json==0.6.4
|
122 |
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dataproc-jupyter-plugin==0.1.66
|
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datasets==2.1.0
|
124 |
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datashader==0.16.0
|
125 |
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datatile==1.0.3
|
126 |
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db-dtypes==1.2.0
|
127 |
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deap==1.4.1
|
128 |
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debugpy==1.8.0
|
129 |
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decorator==5.1.1
|
130 |
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deepdiff==6.7.1
|
131 |
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defusedxml==0.7.1
|
132 |
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delorean==1.0.0
|
133 |
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deprecated==1.2.14
|
134 |
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deprecation==2.1.0
|
135 |
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descartes==1.1.0
|
136 |
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dill==0.3.8
|
137 |
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dipy==1.8.0
|
138 |
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distlib==0.3.8
|
139 |
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distributed==2023.7.1
|
140 |
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distro==1.9.0
|
141 |
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dm-tree==0.1.8
|
142 |
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docker-pycreds==0.4.0
|
143 |
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docker==7.0.0
|
144 |
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docopt==0.6.2
|
145 |
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docstring-parser==0.15
|
146 |
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docstring-to-markdown==0.15
|
147 |
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docutils==0.20.1
|
148 |
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earthengine-api==0.1.391
|
149 |
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easydict==1.12
|
150 |
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easyocr==1.7.1
|
151 |
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ecos==2.0.13
|
152 |
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eli5==0.13.0
|
153 |
+
emoji==2.10.1
|
154 |
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en-core-web-lg==3.7.1
|
155 |
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en-core-web-sm==3.7.1
|
156 |
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entrypoints==0.4
|
157 |
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ephem==4.1.5
|
158 |
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esda==2.5.1
|
159 |
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essentia==2.1b6.dev1110
|
160 |
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et-xmlfile==1.1.0
|
161 |
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etils==1.6.0
|
162 |
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evaluate==0.4.1
|
163 |
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exceptiongroup==1.2.0
|
164 |
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executing==2.0.1
|
165 |
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explainable-ai-sdk==1.3.3
|
166 |
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farama-notifications==0.0.4
|
167 |
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fastai==2.7.14
|
168 |
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fastapi==0.108.0
|
169 |
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fastavro==1.9.3
|
170 |
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fastcore==1.5.29
|
171 |
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fastdownload==0.0.7
|
172 |
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fasteners==0.19
|
173 |
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fastjsonschema==2.19.1
|
174 |
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fastprogress==1.0.3
|
175 |
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fastrlock==0.8.2
|
176 |
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fasttext==0.9.2
|
177 |
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fbpca==1.0
|
178 |
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feather-format==0.4.1
|
179 |
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featuretools==1.29.0
|
180 |
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filelock==3.13.1
|
181 |
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fiona==1.9.5
|
182 |
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fitter==1.7.0
|
183 |
+
flake8==7.0.0
|
184 |
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flashtext==2.7
|
185 |
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flask==3.0.2
|
186 |
+
flatbuffers==23.5.26
|
187 |
+
flax==0.8.1
|
188 |
+
folium==0.15.1
|
189 |
+
fonttools==4.47.0
|
190 |
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fqdn==1.5.1
|
191 |
+
frozendict==2.4.0
|
192 |
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frozenlist==1.4.1
|
193 |
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fsspec==2024.2.0
|
194 |
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funcy==2.0
|
195 |
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fury==0.9.0
|
196 |
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future==1.0.0
|
197 |
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fuzzywuzzy==0.18.0
|
198 |
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gast==0.5.4
|
199 |
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gatspy==0.3
|
200 |
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gcsfs==2023.12.2.post1
|
201 |
+
gensim==4.3.2
|
202 |
+
geographiclib==2.0
|
203 |
+
geohash==1.0
|
204 |
+
geojson==3.1.0
|
205 |
+
geopandas==0.14.3
|
206 |
+
geoplot==0.5.1
|
207 |
+
geopy==2.4.1
|
208 |
+
geoviews==1.11.1
|
209 |
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ggplot==0.11.5
|
210 |
+
giddy==2.3.5
|
211 |
+
gitdb==4.0.11
|
212 |
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gitpython==3.1.41
|
213 |
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google-ai-generativelanguage==0.4.0
|
214 |
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google-api-core==2.11.1
|
215 |
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google-api-python-client==2.118.0
|
216 |
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google-apitools==0.5.31
|
217 |
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google-auth-httplib2==0.1.1
|
218 |
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google-auth-oauthlib==1.2.0
|
219 |
+
google-auth==2.26.1
|
220 |
+
google-cloud-aiplatform==0.6.0a1
|
221 |
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google-cloud-artifact-registry==1.10.0
|
222 |
+
google-cloud-automl==1.0.1
|
223 |
+
google-cloud-bigquery==2.34.4
|
224 |
+
google-cloud-bigtable==1.7.3
|
225 |
+
google-cloud-core==2.4.1
|
226 |
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google-cloud-datastore==2.19.0
|
227 |
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google-cloud-dlp==3.14.0
|
228 |
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google-cloud-jupyter-config==0.0.5
|
229 |
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google-cloud-language==2.13.1
|
230 |
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google-cloud-monitoring==2.18.0
|
231 |
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google-cloud-pubsub==2.19.0
|
232 |
+
google-cloud-pubsublite==1.9.0
|
233 |
+
google-cloud-recommendations-ai==0.7.1
|
234 |
+
google-cloud-resource-manager==1.11.0
|
235 |
+
google-cloud-spanner==3.40.1
|
236 |
+
google-cloud-storage==1.44.0
|
237 |
+
google-cloud-translate==3.12.1
|
238 |
+
google-cloud-videointelligence==2.13.1
|
239 |
+
google-cloud-vision==2.8.0
|
240 |
+
google-crc32c==1.5.0
|
241 |
+
google-generativeai==0.3.2
|
242 |
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google-pasta==0.2.0
|
243 |
+
google-resumable-media==2.7.0
|
244 |
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googleapis-common-protos==1.62.0
|
245 |
+
gplearn==0.4.2
|
246 |
+
gpustat==1.0.0
|
247 |
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gpxpy==1.6.2
|
248 |
+
graphviz==0.20.1
|
249 |
+
greenlet==3.0.3
|
250 |
+
grpc-google-iam-v1==0.12.7
|
251 |
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grpcio-status==1.48.1
|
252 |
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grpcio==1.51.1
|
253 |
+
gviz-api==1.10.0
|
254 |
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gym-notices==0.0.8
|
255 |
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gym==0.26.2
|
256 |
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gymnasium==0.29.0
|
257 |
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h11==0.14.0
|
258 |
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h2o==3.44.0.3
|
259 |
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h5netcdf==1.3.0
|
260 |
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h5py==3.10.0
|
261 |
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haversine==2.8.1
|
262 |
+
hdfs==2.7.3
|
263 |
+
hep-ml==0.7.2
|
264 |
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hijri-converter==2.3.1
|
265 |
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hmmlearn==0.3.0
|
266 |
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holidays==0.24
|
267 |
+
holoviews==1.18.3
|
268 |
+
hpsklearn==0.1.0
|
269 |
+
html5lib==1.1
|
270 |
+
htmlmin==0.1.12
|
271 |
+
httpcore==1.0.4
|
272 |
+
httplib2==0.21.0
|
273 |
+
httptools==0.6.1
|
274 |
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httpx==0.27.0
|
275 |
+
huggingface-hub==0.20.3
|
276 |
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humanize==4.9.0
|
277 |
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hunspell==0.5.5
|
278 |
+
husl==4.0.3
|
279 |
+
hydra-slayer==0.5.0
|
280 |
+
hyperopt==0.2.7
|
281 |
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hypertools==0.8.0
|
282 |
+
idna==3.6
|
283 |
+
igraph==0.11.4
|
284 |
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imagecodecs==2024.1.1
|
285 |
+
imagehash==4.3.1
|
286 |
+
imageio==2.33.1
|
287 |
+
imbalanced-learn==0.12.0
|
288 |
+
imgaug==0.4.0
|
289 |
+
importlib-metadata==6.11.0
|
290 |
+
importlib-resources==6.1.1
|
291 |
+
inequality==1.0.1
|
292 |
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iniconfig==2.0.0
|
293 |
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ipydatawidgets==4.3.5
|
294 |
+
ipykernel==6.28.0
|
295 |
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ipyleaflet==0.18.2
|
296 |
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ipympl==0.7.0
|
297 |
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ipython-genutils==0.2.0
|
298 |
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ipython-sql==0.5.0
|
299 |
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ipython==8.20.0
|
300 |
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ipyvolume==0.6.3
|
301 |
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ipyvue==1.10.1
|
302 |
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ipyvuetify==1.8.10
|
303 |
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ipywebrtc==0.6.0
|
304 |
+
ipywidgets==7.7.1
|
305 |
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isodate==0.6.1
|
306 |
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isoduration==20.11.0
|
307 |
+
isort==5.13.2
|
308 |
+
isoweek==1.3.3
|
309 |
+
itsdangerous==2.1.2
|
310 |
+
janome==0.5.0
|
311 |
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jaraco.classes==3.3.0
|
312 |
+
jax-jumpy==1.0.0
|
313 |
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jax==0.4.23
|
314 |
+
jaxlib==0.4.23.dev20240116
|
315 |
+
jedi==0.19.1
|
316 |
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jeepney==0.8.0
|
317 |
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jieba==0.42.1
|
318 |
+
jinja2==3.1.2
|
319 |
+
jmespath==1.0.1
|
320 |
+
joblib==1.3.2
|
321 |
+
json5==0.9.14
|
322 |
+
jsonpatch==1.33
|
323 |
+
jsonpointer==2.4
|
324 |
+
jsonschema-specifications==2023.12.1
|
325 |
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jsonschema==4.20.0
|
326 |
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jupyter-client==7.4.9
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327 |
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jupyter-console==6.6.3
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328 |
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jupyter-core==5.7.1
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329 |
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jupyter-events==0.9.0
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330 |
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jupyter-http-over-ws==0.0.8
|
331 |
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jupyter-lsp==1.5.1
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332 |
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jupyter-server-fileid==0.9.1
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333 |
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jupyter-server-mathjax==0.2.6
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334 |
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jupyter-server-proxy==4.1.0
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335 |
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jupyter-server-terminals==0.5.1
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336 |
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jupyter-server-ydoc==0.8.0
|
337 |
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jupyter-server==2.12.5
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338 |
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jupyter-ydoc==0.2.5
|
339 |
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jupyterlab-git==0.44.0
|
340 |
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jupyterlab-lsp==5.0.3
|
341 |
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jupyterlab-pygments==0.3.0
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342 |
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jupyterlab-server==2.25.2
|
343 |
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jupyterlab-widgets==3.0.9
|
344 |
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jupyterlab==4.1.2
|
345 |
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jupytext==1.16.0
|
346 |
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kaggle-environments==1.14.3
|
347 |
+
kaggle==1.6.6
|
348 |
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kagglehub==0.1.9
|
349 |
+
keras-cv==0.8.2
|
350 |
+
keras-nlp==0.8.1
|
351 |
+
keras-tuner==1.4.6
|
352 |
+
keras==3.0.5
|
353 |
+
kernels-mixer==0.0.7
|
354 |
+
keyring==24.3.0
|
355 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
356 |
+
kfp-pipeline-spec==0.2.2
|
357 |
+
kfp-server-api==2.0.5
|
358 |
+
kfp==2.5.0
|
359 |
+
kiwisolver==1.4.5
|
360 |
+
kmapper==2.0.1
|
361 |
+
kmodes==0.12.2
|
362 |
+
korean-lunar-calendar==0.3.1
|
363 |
+
kornia==0.7.1
|
364 |
+
kt-legacy==1.0.5
|
365 |
+
kubernetes==26.1.0
|
366 |
+
langcodes==3.3.0
|
367 |
+
langid==1.1.6
|
368 |
+
language-tags==1.2.0
|
369 |
+
lazy-loader==0.3
|
370 |
+
learntools==0.3.4
|
371 |
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leven==1.0.4
|
372 |
+
levenshtein==0.25.0
|
373 |
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libclang==16.0.6
|
374 |
+
libmambapy==1.5.0
|
375 |
+
libpysal==4.9.2
|
376 |
+
librosa==0.10.1
|
377 |
+
lightgbm==4.2.0
|
378 |
+
lightning-utilities==0.10.1
|
379 |
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lime==0.2.0.1
|
380 |
+
line-profiler==4.1.2
|
381 |
+
linkify-it-py==2.0.3
|
382 |
+
llvmlite==0.41.1
|
383 |
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lml==0.1.0
|
384 |
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locket==1.0.0
|
385 |
+
loguru==0.7.2
|
386 |
+
lunarcalendar==0.0.9
|
387 |
+
lxml==5.1.0
|
388 |
+
lz4==4.3.3
|
389 |
+
mako==1.3.2
|
390 |
+
mamba==1.5.0
|
391 |
+
mapclassify==2.6.1
|
392 |
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marisa-trie==1.1.0
|
393 |
+
markdown-it-py==3.0.0
|
394 |
+
markdown==3.5.2
|
395 |
+
markovify==0.9.4
|
396 |
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markupsafe==2.1.3
|
397 |
+
marshmallow==3.20.2
|
398 |
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matplotlib-inline==0.1.6
|
399 |
+
matplotlib-venn==0.11.10
|
400 |
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matplotlib==3.7.5
|
401 |
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mccabe==0.7.0
|
402 |
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mdit-py-plugins==0.4.0
|
403 |
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mdurl==0.1.2
|
404 |
+
memory-profiler==0.61.0
|
405 |
+
menuinst==2.0.1
|
406 |
+
mercantile==1.2.1
|
407 |
+
mgwr==2.2.1
|
408 |
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missingno==0.5.2
|
409 |
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mistune==0.8.4
|
410 |
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mizani==0.11.0
|
411 |
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ml-dtypes==0.2.0
|
412 |
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mlcrate==0.2.0
|
413 |
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mlens==0.2.3
|
414 |
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mlxtend==0.23.1
|
415 |
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mmh3==4.1.0
|
416 |
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mne==1.6.1
|
417 |
+
mnist==0.2.2
|
418 |
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mock==5.1.0
|
419 |
+
momepy==0.7.0
|
420 |
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more-itertools==10.2.0
|
421 |
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mpld3==0.5.10
|
422 |
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mpmath==1.3.0
|
423 |
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msgpack-numpy==0.4.8
|
424 |
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msgpack==1.0.7
|
425 |
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multidict==6.0.4
|
426 |
+
multimethod==1.10
|
427 |
+
multipledispatch==1.0.0
|
428 |
+
multiprocess==0.70.16
|
429 |
+
munkres==1.1.4
|
430 |
+
murmurhash==1.0.10
|
431 |
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mypy-extensions==1.0.0
|
432 |
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namex==0.0.7
|
433 |
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nb-conda-kernels==2.3.1
|
434 |
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nb-conda==2.2.1
|
435 |
+
nbclassic==1.0.0
|
436 |
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nbclient==0.5.13
|
437 |
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nbconvert==6.4.5
|
438 |
+
nbdime==3.2.0
|
439 |
+
nbformat==5.9.2
|
440 |
+
ndindex==1.8
|
441 |
+
nest-asyncio==1.5.8
|
442 |
+
networkx==3.2.1
|
443 |
+
nibabel==5.2.0
|
444 |
+
nilearn==0.10.3
|
445 |
+
ninja==1.11.1.1
|
446 |
+
nltk==3.2.4
|
447 |
+
nose==1.3.7
|
448 |
+
notebook-executor==0.2
|
449 |
+
notebook-shim==0.2.3
|
450 |
+
notebook==6.5.4
|
451 |
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numba==0.58.1
|
452 |
+
numexpr==2.9.0
|
453 |
+
numpy==1.26.4
|
454 |
+
nvidia-ml-py==11.495.46
|
455 |
+
nvtx==0.2.10
|
456 |
+
oauth2client==4.1.3
|
457 |
+
oauthlib==3.2.2
|
458 |
+
objsize==0.6.1
|
459 |
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odfpy==1.4.1
|
460 |
+
olefile==0.47
|
461 |
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onnx==1.15.0
|
462 |
+
opencensus-context==0.1.3
|
463 |
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opencensus==0.11.4
|
464 |
+
opencv-contrib-python==4.9.0.80
|
465 |
+
opencv-python-headless==4.9.0.80
|
466 |
+
opencv-python==4.9.0.80
|
467 |
+
openpyxl==3.1.2
|
468 |
+
openslide-python==1.3.1
|
469 |
+
opentelemetry-api==1.22.0
|
470 |
+
opentelemetry-exporter-otlp-proto-common==1.22.0
|
471 |
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opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
472 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
473 |
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opentelemetry-exporter-otlp==1.22.0
|
474 |
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opentelemetry-proto==1.22.0
|
475 |
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opentelemetry-sdk==1.22.0
|
476 |
+
opentelemetry-semantic-conventions==0.43b0
|
477 |
+
opt-einsum==3.3.0
|
478 |
+
optax==0.1.9
|
479 |
+
optuna==3.5.0
|
480 |
+
orbax-checkpoint==0.5.3
|
481 |
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ordered-set==4.1.0
|
482 |
+
orderedmultidict==1.0.1
|
483 |
+
orjson==3.9.10
|
484 |
+
ortools==9.4.1874
|
485 |
+
osmnx==1.9.1
|
486 |
+
overrides==7.4.0
|
487 |
+
packaging==21.3
|
488 |
+
pandas-datareader==0.10.0
|
489 |
+
pandas-profiling==3.6.6
|
490 |
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pandas-summary==0.2.0
|
491 |
+
pandas==2.1.4
|
492 |
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pandasql==0.7.3
|
493 |
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pandocfilters==1.5.0
|
494 |
+
panel==1.3.8
|
495 |
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papermill==2.5.0
|
496 |
+
param==2.0.2
|
497 |
+
parso==0.8.3
|
498 |
+
partd==1.4.1
|
499 |
+
path.py==12.5.0
|
500 |
+
path==16.10.0
|
501 |
+
pathos==0.3.2
|
502 |
+
pathy==0.10.3
|
503 |
+
patsy==0.5.6
|
504 |
+
pdf2image==1.17.0
|
505 |
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pettingzoo==1.24.0
|
506 |
+
pexpect==4.8.0
|
507 |
+
phik==0.12.4
|
508 |
+
pickleshare==0.7.5
|
509 |
+
pillow==9.5.0
|
510 |
+
pip==23.3.2
|
511 |
+
pkgutil-resolve-name==1.3.10
|
512 |
+
platformdirs==4.2.0
|
513 |
+
plotly-express==0.4.1
|
514 |
+
plotly==5.18.0
|
515 |
+
plotnine==0.13.0
|
516 |
+
pluggy==1.3.0
|
517 |
+
pointpats==2.4.0
|
518 |
+
polars==0.20.10
|
519 |
+
polyglot==16.7.4
|
520 |
+
pooch==1.8.1
|
521 |
+
pox==0.3.4
|
522 |
+
ppca==0.0.4
|
523 |
+
ppft==1.7.6.8
|
524 |
+
preprocessing==0.1.13
|
525 |
+
preshed==3.0.9
|
526 |
+
prettytable==3.9.0
|
527 |
+
progressbar2==4.3.2
|
528 |
+
prometheus-client==0.19.0
|
529 |
+
promise==2.3
|
530 |
+
prompt-toolkit==3.0.42
|
531 |
+
pronouncing==0.2.0
|
532 |
+
prophet==1.1.1
|
533 |
+
proto-plus==1.23.0
|
534 |
+
protobuf==3.20.3
|
535 |
+
psutil==5.9.3
|
536 |
+
ptyprocess==0.7.0
|
537 |
+
pudb==2024.1
|
538 |
+
pulp==2.8.0
|
539 |
+
pure-eval==0.2.2
|
540 |
+
py-cpuinfo==9.0.0
|
541 |
+
py-spy==0.3.14
|
542 |
+
py4j==0.10.9.7
|
543 |
+
pyaml==23.12.0
|
544 |
+
pyarabic==0.6.15
|
545 |
+
pyarrow==11.0.0
|
546 |
+
pyasn1-modules==0.3.0
|
547 |
+
pyasn1==0.5.1
|
548 |
+
pyastronomy==0.20.0
|
549 |
+
pybind11==2.11.1
|
550 |
+
pyclipper==1.3.0.post5
|
551 |
+
pycodestyle==2.11.1
|
552 |
+
pycosat==0.6.6
|
553 |
+
pycparser==2.21
|
554 |
+
pycryptodome==3.20.0
|
555 |
+
pyct==0.5.0
|
556 |
+
pycuda==2024.1
|
557 |
+
pydantic-core==2.14.6
|
558 |
+
pydantic==2.5.3
|
559 |
+
pydegensac==0.1.2
|
560 |
+
pydicom==2.4.4
|
561 |
+
pydocstyle==6.3.0
|
562 |
+
pydot==1.4.2
|
563 |
+
pydub==0.25.1
|
564 |
+
pyemd==1.0.0
|
565 |
+
pyerfa==2.0.1.1
|
566 |
+
pyexcel-io==0.6.6
|
567 |
+
pyexcel-ods==0.6.0
|
568 |
+
pyfasttext==0.4.6
|
569 |
+
pyflakes==3.2.0
|
570 |
+
pygltflib==1.16.1
|
571 |
+
pygments==2.17.2
|
572 |
+
pyjwt==2.8.0
|
573 |
+
pykalman==0.9.5
|
574 |
+
pylatexenc==2.10
|
575 |
+
pyldavis==3.4.1
|
576 |
+
pylibraft==23.8.0
|
577 |
+
pylint==3.0.3
|
578 |
+
pymc3==3.11.4
|
579 |
+
pymeeus==0.5.12
|
580 |
+
pymongo==3.13.0
|
581 |
+
pympler==1.0.1
|
582 |
+
pynndescent==0.5.11
|
583 |
+
pynvml==11.4.1
|
584 |
+
pynvrtc==9.2
|
585 |
+
pyocr==0.8.5
|
586 |
+
pyopenssl==23.3.0
|
587 |
+
pyparsing==3.1.1
|
588 |
+
pypdf==4.0.2
|
589 |
+
pyproj==3.6.1
|
590 |
+
pysal==24.1
|
591 |
+
pyshp==2.3.1
|
592 |
+
pysocks==1.7.1
|
593 |
+
pytesseract==0.3.10
|
594 |
+
pytest==8.0.1
|
595 |
+
python-bidi==0.4.2
|
596 |
+
python-dateutil==2.8.2
|
597 |
+
python-dotenv==1.0.0
|
598 |
+
python-json-logger==2.0.7
|
599 |
+
python-levenshtein==0.25.0
|
600 |
+
python-louvain==0.16
|
601 |
+
python-lsp-jsonrpc==1.1.2
|
602 |
+
python-lsp-server==1.10.0
|
603 |
+
python-slugify==8.0.4
|
604 |
+
python-utils==3.8.2
|
605 |
+
pythreejs==2.4.2
|
606 |
+
pytoolconfig==1.3.1
|
607 |
+
pytools==2023.1.1
|
608 |
+
pytorch-ignite==0.4.13
|
609 |
+
pytorch-lightning==2.2.0.post0
|
610 |
+
pytz==2023.3.post1
|
611 |
+
pyu2f==0.1.5
|
612 |
+
pyupset==0.1.1.post7
|
613 |
+
pyviz-comms==3.0.1
|
614 |
+
pywavelets==1.5.0
|
615 |
+
pyyaml==6.0.1
|
616 |
+
pyzmq==24.0.1
|
617 |
+
qgrid==1.3.1
|
618 |
+
qtconsole==5.5.1
|
619 |
+
qtpy==2.4.1
|
620 |
+
quantecon==0.7.1
|
621 |
+
quantities==0.15.0
|
622 |
+
qudida==0.0.4
|
623 |
+
raft-dask==23.8.0
|
624 |
+
rapidfuzz==3.6.1
|
625 |
+
rasterio==1.3.9
|
626 |
+
rasterstats==0.19.0
|
627 |
+
ray-cpp==2.9.0
|
628 |
+
ray==2.9.0
|
629 |
+
rdflib==7.0.0
|
630 |
+
referencing==0.32.1
|
631 |
+
regex==2023.12.25
|
632 |
+
requests-oauthlib==1.3.1
|
633 |
+
requests-toolbelt==0.10.1
|
634 |
+
requests==2.31.0
|
635 |
+
responses==0.18.0
|
636 |
+
retrying==1.3.3
|
637 |
+
rfc3339-validator==0.1.4
|
638 |
+
rfc3986-validator==0.1.1
|
639 |
+
rfc3986==1.5.0
|
640 |
+
rgf-python==3.12.0
|
641 |
+
rich-click==1.7.3
|
642 |
+
rich==13.7.0
|
643 |
+
rmm==23.8.0
|
644 |
+
rope==1.12.0
|
645 |
+
rpds-py==0.16.2
|
646 |
+
rsa==4.9
|
647 |
+
rtree==1.2.0
|
648 |
+
ruamel-yaml-conda==0.15.100
|
649 |
+
ruamel.yaml.clib==0.2.7
|
650 |
+
ruamel.yaml==0.17.40
|
651 |
+
s2sphere==0.2.5
|
652 |
+
s3fs==2024.2.0
|
653 |
+
s3transfer==0.6.2
|
654 |
+
safetensors==0.4.2
|
655 |
+
scattertext==0.1.19
|
656 |
+
scikit-image==0.22.0
|
657 |
+
scikit-learn-intelex==2024.1.0
|
658 |
+
scikit-learn==1.2.2
|
659 |
+
scikit-multilearn==0.2.0
|
660 |
+
scikit-optimize==0.9.0
|
661 |
+
scikit-plot==0.3.7
|
662 |
+
scikit-surprise==1.1.3
|
663 |
+
scipy==1.11.4
|
664 |
+
seaborn==0.12.2
|
665 |
+
secretstorage==3.3.3
|
666 |
+
segment-anything==1.0
|
667 |
+
segments==2.2.1
|
668 |
+
segregation==2.5
|
669 |
+
semver==3.0.2
|
670 |
+
send2trash==1.8.2
|
671 |
+
sentencepiece==0.2.0
|
672 |
+
sentry-sdk==1.40.5
|
673 |
+
setproctitle==1.3.3
|
674 |
+
setuptools-git==1.2
|
675 |
+
setuptools-scm==8.0.4
|
676 |
+
setuptools==69.0.3
|
677 |
+
shap==0.44.1
|
678 |
+
shapely==1.8.5.post1
|
679 |
+
shellingham==1.5.4
|
680 |
+
shimmy==1.3.0
|
681 |
+
simpervisor==1.0.0
|
682 |
+
simpleitk==2.3.1
|
683 |
+
simplejson==3.19.2
|
684 |
+
six==1.16.0
|
685 |
+
sklearn-pandas==2.2.0
|
686 |
+
slicer==0.0.7
|
687 |
+
smart-open==6.4.0
|
688 |
+
smhasher==0.150.1
|
689 |
+
smmap==5.0.1
|
690 |
+
sniffio==1.3.0
|
691 |
+
snowballstemmer==2.2.0
|
692 |
+
snuggs==1.4.7
|
693 |
+
sortedcontainers==2.4.0
|
694 |
+
soundfile==0.12.1
|
695 |
+
soupsieve==2.5
|
696 |
+
soxr==0.3.7
|
697 |
+
spacy-legacy==3.0.12
|
698 |
+
spacy-loggers==1.0.5
|
699 |
+
spacy==3.7.2
|
700 |
+
spaghetti==1.7.5.post1
|
701 |
+
spectral==0.23.1
|
702 |
+
spglm==1.1.0
|
703 |
+
sphinx-rtd-theme==0.2.4
|
704 |
+
spint==1.0.7
|
705 |
+
splot==1.1.5.post1
|
706 |
+
spopt==0.6.0
|
707 |
+
spreg==1.4.2
|
708 |
+
spvcm==0.3.0
|
709 |
+
sqlalchemy==2.0.25
|
710 |
+
sqlparse==0.4.4
|
711 |
+
squarify==0.4.3
|
712 |
+
srsly==2.4.8
|
713 |
+
stable-baselines3==2.1.0
|
714 |
+
stack-data==0.6.2
|
715 |
+
stanio==0.3.0
|
716 |
+
starlette==0.32.0.post1
|
717 |
+
statsmodels==0.14.1
|
718 |
+
stemming==1.0.1
|
719 |
+
stop-words==2018.7.23
|
720 |
+
stopit==1.1.2
|
721 |
+
stumpy==1.12.0
|
722 |
+
sympy==1.12
|
723 |
+
tables==3.9.2
|
724 |
+
tabulate==0.9.0
|
725 |
+
tangled-up-in-unicode==0.2.0
|
726 |
+
tbb==2021.11.0
|
727 |
+
tblib==3.0.0
|
728 |
+
tenacity==8.2.3
|
729 |
+
tensorboard-data-server==0.7.2
|
730 |
+
tensorboard-plugin-profile==2.15.0
|
731 |
+
tensorboard==2.15.1
|
732 |
+
tensorboardx==2.6.2.2
|
733 |
+
tensorflow-cloud==0.1.16
|
734 |
+
tensorflow-datasets==4.9.4
|
735 |
+
tensorflow-decision-forests==1.8.1
|
736 |
+
tensorflow-estimator==2.15.0
|
737 |
+
tensorflow-hub==0.16.1
|
738 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
739 |
+
tensorflow-io==0.35.0
|
740 |
+
tensorflow-metadata==0.14.0
|
741 |
+
tensorflow-probability==0.23.0
|
742 |
+
tensorflow-serving-api==2.14.1
|
743 |
+
tensorflow-text==2.15.0
|
744 |
+
tensorflow-transform==0.14.0
|
745 |
+
tensorflow==2.15.0
|
746 |
+
tensorpack==0.11
|
747 |
+
tensorstore==0.1.53
|
748 |
+
termcolor==2.4.0
|
749 |
+
terminado==0.18.0
|
750 |
+
testpath==0.6.0
|
751 |
+
text-unidecode==1.3
|
752 |
+
textblob==0.18.0.post0
|
753 |
+
texttable==1.7.0
|
754 |
+
tf-keras==2.15.0
|
755 |
+
tfp-nightly==0.24.0.dev0
|
756 |
+
theano-pymc==1.1.2
|
757 |
+
theano==1.0.5
|
758 |
+
thinc==8.2.2
|
759 |
+
threadpoolctl==3.2.0
|
760 |
+
tifffile==2023.12.9
|
761 |
+
timm==0.9.16
|
762 |
+
tinycss2==1.2.1
|
763 |
+
tobler==0.11.2
|
764 |
+
tokenizers==0.15.2
|
765 |
+
toml==0.10.2
|
766 |
+
tomli==2.0.1
|
767 |
+
tomlkit==0.12.3
|
768 |
+
toolz==0.12.1
|
769 |
+
torch==2.1.2
|
770 |
+
torchaudio==2.1.2
|
771 |
+
torchdata==0.7.1
|
772 |
+
torchinfo==1.8.0
|
773 |
+
torchmetrics==1.3.1
|
774 |
+
torchtext==0.16.2
|
775 |
+
torchvision==0.16.2
|
776 |
+
tornado==6.3.3
|
777 |
+
tpot==0.12.1
|
778 |
+
tqdm==4.66.1
|
779 |
+
traceml==1.0.8
|
780 |
+
traitlets==5.9.0
|
781 |
+
traittypes==0.2.1
|
782 |
+
transformers==4.38.1
|
783 |
+
treelite-runtime==3.2.0
|
784 |
+
treelite==3.2.0
|
785 |
+
trueskill==0.4.5
|
786 |
+
truststore==0.8.0
|
787 |
+
trx-python==0.2.9
|
788 |
+
tsfresh==0.20.2
|
789 |
+
typeguard==4.1.5
|
790 |
+
typer==0.9.0
|
791 |
+
types-python-dateutil==2.8.19.20240106
|
792 |
+
typing-extensions==4.9.0
|
793 |
+
typing-inspect==0.9.0
|
794 |
+
typing-utils==0.1.0
|
795 |
+
tzdata==2023.4
|
796 |
+
tzlocal==5.2
|
797 |
+
uc-micro-py==1.0.3
|
798 |
+
ucx-py==0.33.0
|
799 |
+
ujson==5.9.0
|
800 |
+
umap-learn==0.5.5
|
801 |
+
unicodedata2==15.1.0
|
802 |
+
unidecode==1.3.8
|
803 |
+
update-checker==0.18.0
|
804 |
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