license:apache-2.0 github-stars region:us
---
license: apache-2.0
pretty_name: pytorch-image-models metrics
tags:
- github-stars
dataset_info:
  features:
  - name: name
    dtype: 'null'
  - name: stars
    dtype: 'null'
  - name: forks
    dtype: 'null'
  splits:
  - name: package
  - name: repository
  download_size: 1798
  dataset_size: 0
---

# pytorch-image-models metrics

This dataset contains metrics about the huggingface/pytorch-image-models package.

Number of repositories in the dataset: 3615
Number of packages in the dataset: 89

## Package dependents

This contains the data available in the [used-by](https://github.com/huggingface/pytorch-image-models/network/dependents)
tab on GitHub.

### Package & Repository star count

This section shows the package and repository star count, individually. 


Package             |  Repository
:-------------------------:|:-------------------------:
![pytorch-image-models-dependent package star count](./pytorch-image-models-dependents/resolve/main/pytorch-image-models-dependent_package_star_count.png)  |  ![pytorch-image-models-dependent repository star count](./pytorch-image-models-dependents/resolve/main/pytorch-image-models-dependent_repository_star_count.png)

There are 18 packages that have more than 1000 stars.

There are 39 repositories that have more than 1000 stars.


The top 10 in each category are the following:

*Package*

[huggingface/transformers](https://github.com/huggingface/transformers): 70536

[fastai/fastai](https://github.com/fastai/fastai): 22776

[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 21390

[MVIG-SJTU/AlphaPose](https://github.com/MVIG-SJTU/AlphaPose): 6424

[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 6115

[awslabs/autogluon](https://github.com/awslabs/autogluon): 4818

[neuml/txtai](https://github.com/neuml/txtai): 2531

[open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2): 2357

[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup): 2271

[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR): 1999

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 70536

[commaai/openpilot](https://github.com/commaai/openpilot): 35919

[facebookresearch/detectron2](https://github.com/facebookresearch/detectron2): 22287

[ray-project/ray](https://github.com/ray-project/ray): 22057

[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 21390

[NVIDIA/DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples): 9260

[microsoft/unilm](https://github.com/microsoft/unilm): 6664

[pytorch/tutorials](https://github.com/pytorch/tutorials): 6331

[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 6115

[hpcaitech/ColossalAI](https://github.com/hpcaitech/ColossalAI): 4944


### Package & Repository fork count

This section shows the package and repository fork count, individually. 

Package             |  Repository
:-------------------------:|:-------------------------:
![pytorch-image-models-dependent package forks count](./pytorch-image-models-dependents/resolve/main/pytorch-image-models-dependent_package_forks_count.png)  |  ![pytorch-image-models-dependent repository forks count](./pytorch-image-models-dependents/resolve/main/pytorch-image-models-dependent_repository_forks_count.png)

There are 12 packages that have more than 200 forks.

There are 28 repositories that have more than 200 forks.


The top 10 in each category are the following:

*Package*

[huggingface/transformers](https://github.com/huggingface/transformers): 16175

[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 7791

[fastai/fastai](https://github.com/fastai/fastai): 7296

[MVIG-SJTU/AlphaPose](https://github.com/MVIG-SJTU/AlphaPose): 1765

[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 1217

[open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2): 787

[awslabs/autogluon](https://github.com/awslabs/autogluon): 638

[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup): 321

[rwightman/efficientdet-pytorch](https://github.com/rwightman/efficientdet-pytorch): 265

[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR): 247

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 16175

[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): 7791

[commaai/openpilot](https://github.com/commaai/openpilot): 6603

[facebookresearch/detectron2](https://github.com/facebookresearch/detectron2): 6033

[ray-project/ray](https://github.com/ray-project/ray): 3879

[pytorch/tutorials](https://github.com/pytorch/tutorials): 3478

[NVIDIA/DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples): 2499

[microsoft/unilm](https://github.com/microsoft/unilm): 1223

[qubvel/segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch): 1217

[layumi/Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch): 928

    