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1,306
study
https://github.com/timofurrer/awesome-asyncio
['awesome']
null
[]
[]
null
null
null
timofurrer/awesome-asyncio
awesome-asyncio
4,297
321
122
null
null
A curated list of awesome Python asyncio frameworks, libraries, software and resources
timofurrer
2024-01-13
2016-11-01
378
11.367725
null
A curated list of awesome Python asyncio frameworks, libraries, software and resources
['asyncio', 'awesome', 'awesome-list', 'coroutines', 'python-asyncio']
['asyncio', 'awesome', 'awesome-list', 'coroutines', 'python-asyncio']
2023-01-08
[('dylanhogg/awesome-python', 0.7224661111831665, 'study', 2), ('pallets/quart', 0.6550799608230591, 'web', 1), ('aio-libs/aiohttp', 0.6443581581115723, 'web', 1), ('encode/httpx', 0.640356183052063, 'web', 1), ('klen/muffin', 0.6332191228866577, 'web', 1), ('magicstack/uvloop', 0.6274605989456177, 'util', 1), ('encode/uvicorn', 0.618058979511261, 'web', 1), ('fastai/fastcore', 0.6136905550956726, 'util', 0), ('neoteroi/blacksheep', 0.6109622716903687, 'web', 1), ('masoniteframework/masonite', 0.6026535034179688, 'web', 0), ('sumerc/yappi', 0.6000396013259888, 'profiling', 1), ('pypy/pypy', 0.5946156978607178, 'util', 0), ('krzjoa/awesome-python-data-science', 0.5890659093856812, 'study', 2), ('alirn76/panther', 0.5865374207496643, 'web', 0), ('aio-libs/aiobotocore', 0.5803163647651672, 'util', 1), ('samuelcolvin/aioaws', 0.5785270929336548, 'data', 1), ('pytest-dev/pytest-asyncio', 0.5779024958610535, 'testing', 1), ('willmcgugan/textual', 0.575556218624115, 'term', 0), ('pytoolz/toolz', 0.5735023021697998, 'util', 0), ('ets-labs/python-dependency-injector', 0.5701932311058044, 'util', 1), ('trananhkma/fucking-awesome-python', 0.5646189451217651, 'study', 1), ('starlite-api/starlite', 0.5622597932815552, 'web', 1), ('python-trio/trio', 0.5602687001228333, 'perf', 0), ('pylons/pyramid', 0.5598770380020142, 'web', 0), ('alex-sherman/unsync', 0.5594347715377808, 'util', 0), ('falconry/falcon', 0.5593904852867126, 'web', 0), ('ta-lib/ta-lib-python', 0.5574406981468201, 'finance', 0), ('tiangolo/asyncer', 0.5529595017433167, 'perf', 1), ('python/cpython', 0.55228590965271, 'util', 0), ('geeogi/async-python-lambda-template', 0.5508684515953064, 'template', 0), ('pallets/flask', 0.5479661822319031, 'web', 0), ('tornadoweb/tornado', 0.5469016432762146, 'web', 0), ('eleutherai/pyfra', 0.5461949110031128, 'ml', 0), ('christoschristofidis/awesome-deep-learning', 0.5383524298667908, 'study', 2), ('1200wd/bitcoinlib', 0.5357022285461426, 'crypto', 0), ('python-restx/flask-restx', 0.5342033505439758, 'web', 0), ('bottlepy/bottle', 0.5336396098136902, 'web', 0), ('agronholm/anyio', 0.5322125554084778, 'perf', 1), ('openai/openai-python', 0.524164617061615, 'util', 0), ('gradio-app/gradio', 0.5227011442184448, 'viz', 0), ('aio-libs/aiomysql', 0.522577166557312, 'data', 1), ('samuelcolvin/arq', 0.5215858817100525, 'data', 1), ('huggingface/huggingface_hub', 0.5210409164428711, 'ml', 0), ('plotly/dash', 0.5202446579933167, 'viz', 0), ('cherrypy/cherrypy', 0.5200496912002563, 'web', 0), ('wesm/pydata-book', 0.5189331769943237, 'study', 0), ('cython/cython', 0.5178491473197937, 'util', 0), ('samuelcolvin/watchfiles', 0.5153577327728271, 'util', 1), ('r0x0r/pywebview', 0.5146098136901855, 'gui', 0), ('flet-dev/flet', 0.5139799118041992, 'web', 0), ('tiangolo/fastapi', 0.5137189030647278, 'web', 1), ('cosmicpython/book', 0.5105115175247192, 'study', 0), ('wxwidgets/phoenix', 0.510340690612793, 'gui', 1), ('scrapy/scrapy', 0.5095760226249695, 'data', 0), ('webpy/webpy', 0.5086891651153564, 'web', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5076543092727661, 'study', 0), ('emmett-framework/emmett', 0.5075742602348328, 'web', 1), ('pyston/pyston', 0.5064808130264282, 'util', 0), ('klen/py-frameworks-bench', 0.5063012838363647, 'perf', 0), ('erotemic/ubelt', 0.5056865811347961, 'util', 0), ('hoffstadt/dearpygui', 0.5044320225715637, 'gui', 0), ('cuemacro/finmarketpy', 0.5032345056533813, 'finance', 0), ('cohere-ai/notebooks', 0.5014423131942749, 'llm', 0), ('plotly/plotly.py', 0.5011566877365112, 'viz', 0), ('faster-cpython/ideas', 0.500760018825531, 'perf', 0), ('python-rope/rope', 0.5005401968955994, 'util', 0), ('holoviz/panel', 0.5001717805862427, 'viz', 0)]
57
5
null
0
0
0
88
12
0
0
0
0
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203
viz
https://github.com/ml-tooling/opyrator
[]
null
[]
[]
1
null
null
ml-tooling/opyrator
opyrator
2,974
157
50
Python
https://opyrator-playground.mltooling.org
πŸͺ„ Turns your machine learning code into microservices with web API, interactive GUI, and more.
ml-tooling
2024-01-14
2021-04-06
147
20.231293
https://avatars.githubusercontent.com/u/45942048?v=4
πŸͺ„ Turns your machine learning code into microservices with web API, interactive GUI, and more.
['deployment', 'faas', 'fastapi', 'functions', 'machine-learning', 'microservices', 'pydantic', 'python-functions', 'serverless', 'streamlit', 'type-hints']
['deployment', 'faas', 'fastapi', 'functions', 'machine-learning', 'microservices', 'pydantic', 'python-functions', 'serverless', 'streamlit', 'type-hints']
2021-05-06
[('unionai-oss/unionml', 0.6805552840232849, 'ml-ops', 1), ('titanml/takeoff', 0.6359823942184448, 'llm', 1), ('gradio-app/gradio', 0.6309301853179932, 'viz', 1), ('wandb/client', 0.6187072992324829, 'ml', 1), ('avaiga/taipy', 0.617566704750061, 'data', 0), ('polyaxon/polyaxon', 0.6038118600845337, 'ml-ops', 1), ('kubeflow/fairing', 0.5929511189460754, 'ml-ops', 0), ('bentoml/bentoml', 0.5898632407188416, 'ml-ops', 2), ('microsoft/nni', 0.5824997425079346, 'ml', 1), ('hugapi/hug', 0.5820281505584717, 'util', 0), ('mlflow/mlflow', 0.58051598072052, 'ml-ops', 1), ('explosion/thinc', 0.5795862674713135, 'ml-dl', 1), ('tiangolo/fastapi', 0.5786353349685669, 'web', 2), ('lucidrains/toolformer-pytorch', 0.5760772228240967, 'llm', 0), ('nccr-itmo/fedot', 0.5759302377700806, 'ml-ops', 1), ('huggingface/transformers', 0.5750659108161926, 'nlp', 1), ('online-ml/river', 0.574630618095398, 'ml', 1), ('googlecloudplatform/vertex-ai-samples', 0.5720667243003845, 'ml', 0), ('ludwig-ai/ludwig', 0.570716142654419, 'ml-ops', 1), ('falconry/falcon', 0.5693379044532776, 'web', 1), ('selfexplainml/piml-toolbox', 0.5633277297019958, 'ml-interpretability', 0), ('onnx/onnx', 0.5625835061073303, 'ml', 1), ('alpa-projects/alpa', 0.5594131350517273, 'ml-dl', 1), ('merantix-momentum/squirrel-core', 0.5560594797134399, 'ml', 1), ('adap/flower', 0.5547651648521423, 'ml-ops', 1), ('automl/auto-sklearn', 0.546398937702179, 'ml', 0), ('xplainable/xplainable', 0.5456689596176147, 'ml-interpretability', 1), ('google/trax', 0.5450164079666138, 'ml-dl', 1), ('ray-project/ray', 0.5436031818389893, 'ml-ops', 2), ('aws/sagemaker-python-sdk', 0.5434074401855469, 'ml', 1), ('deepmind/dm-haiku', 0.5379303097724915, 'ml-dl', 1), ('jina-ai/jina', 0.5350887775421143, 'ml', 2), ('young-geng/easylm', 0.5335082411766052, 'llm', 0), ('operand/agency', 0.5331600308418274, 'llm', 1), ('aiqc/aiqc', 0.532943844795227, 'ml-ops', 0), ('dylanhogg/awesome-python', 0.532485842704773, 'study', 1), ('huggingface/datasets', 0.5313810110092163, 'nlp', 1), ('ajndkr/lanarky', 0.5310590267181396, 'llm', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5304664969444275, 'study', 1), ('mindsdb/mindsdb', 0.5296940207481384, 'data', 1), ('google/pyglove', 0.5290511846542358, 'util', 1), ('patchy631/machine-learning', 0.5287477970123291, 'ml', 0), ('google/vizier', 0.528394877910614, 'ml', 1), ('mosaicml/composer', 0.5281829833984375, 'ml-dl', 1), ('oegedijk/explainerdashboard', 0.5270505547523499, 'ml-interpretability', 0), ('google/mediapipe', 0.5265260338783264, 'ml', 1), ('epistasislab/tpot', 0.5252538323402405, 'ml', 1), ('eugeneyan/testing-ml', 0.5247636437416077, 'testing', 1), ('determined-ai/determined', 0.5243386626243591, 'ml-ops', 1), ('fastai/fastcore', 0.5239315629005432, 'util', 0), ('nvidia/deeplearningexamples', 0.5223838090896606, 'ml-dl', 0), ('asacristani/fastapi-rocket-boilerplate', 0.5223199725151062, 'template', 1), ('nevronai/metisfl', 0.5207219123840332, 'ml', 1), ('modularml/mojo', 0.5188204050064087, 'util', 1), ('vitalik/django-ninja', 0.5184093713760376, 'web', 1), ('radiantearth/radiant-mlhub', 0.5183095932006836, 'gis', 1), ('mlc-ai/mlc-llm', 0.5173749327659607, 'llm', 0), ('pathwaycom/pathway', 0.5166861414909363, 'data', 0), ('pathwaycom/llm-app', 0.5144424438476562, 'llm', 1), ('microsoft/flaml', 0.5143886804580688, 'ml', 1), ('meltano/meltano', 0.5139985084533691, 'ml-ops', 0), ('polyaxon/datatile', 0.5134544372558594, 'pandas', 0), ('ddbourgin/numpy-ml', 0.5126323699951172, 'ml', 1), ('feast-dev/feast', 0.5118728876113892, 'ml-ops', 1), ('huggingface/huggingface_hub', 0.5117499828338623, 'ml', 1), ('uber/petastorm', 0.5089090466499329, 'data', 1), ('microsoft/lmops', 0.5080411434173584, 'llm', 0), ('lukaszahradnik/pyneuralogic', 0.5073249936103821, 'math', 1), ('fmind/mlops-python-package', 0.50709468126297, 'template', 0), ('csinva/imodels', 0.5064631104469299, 'ml', 1), ('cheshire-cat-ai/core', 0.5056010484695435, 'llm', 0), ('scikit-learn/scikit-learn', 0.5052728056907654, 'ml', 1), ('uber/fiber', 0.5049328804016113, 'data', 1), ('fugue-project/fugue', 0.504669725894928, 'pandas', 1), ('microsoft/generative-ai-for-beginners', 0.5041592717170715, 'study', 0), ('kevinmusgrave/pytorch-metric-learning', 0.502253532409668, 'ml', 1), ('lancedb/lancedb', 0.501854658126831, 'data', 0), ('unity-technologies/ml-agents', 0.5017167925834656, 'ml-rl', 1), ('zenml-io/zenml', 0.5011926293373108, 'ml-ops', 1), ('bigscience-workshop/petals', 0.5010274648666382, 'data', 1), ('tensorflow/tensorflow', 0.5004213452339172, 'ml-dl', 1)]
4
0
null
0
12
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33
0
4
4
12
11
90
0.9
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535
nlp
https://github.com/huawei-noah/pretrained-language-model
[]
null
[]
[]
null
null
null
huawei-noah/pretrained-language-model
Pretrained-Language-Model
2,910
618
56
Python
null
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
huawei-noah
2024-01-11
2019-12-02
217
13.401316
https://avatars.githubusercontent.com/u/12619994?v=4
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
['knowledge-distillation', 'large-scale-distributed', 'model-compression', 'pretrained-models', 'quantization']
['knowledge-distillation', 'large-scale-distributed', 'model-compression', 'pretrained-models', 'quantization']
2023-05-21
[('yizhongw/self-instruct', 0.6405363082885742, 'llm', 0), ('cg123/mergekit', 0.6082916855812073, 'llm', 0), ('openai/finetune-transformer-lm', 0.5976941585540771, 'llm', 0), ('predibase/llm_distillation_playbook', 0.5744475722312927, 'llm', 0), ('freedomintelligence/llmzoo', 0.5728333592414856, 'llm', 0), ('baichuan-inc/baichuan-13b', 0.5544146299362183, 'llm', 0), ('young-geng/easylm', 0.5518462657928467, 'llm', 0), ('lianjiatech/belle', 0.5496155023574829, 'llm', 0), ('hiyouga/llama-factory', 0.5485014915466309, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5485014319419861, 'llm', 1), ('titanml/takeoff', 0.5469074249267578, 'llm', 1), ('squeezeailab/squeezellm', 0.5468460917472839, 'llm', 2), ('microsoft/unilm', 0.5461228489875793, 'nlp', 0), ('tatsu-lab/stanford_alpaca', 0.5441707372665405, 'llm', 0), ('bigscience-workshop/biomedical', 0.5387159585952759, 'data', 0), ('jonasgeiping/cramming', 0.5355748534202576, 'nlp', 0), ('togethercomputer/redpajama-data', 0.5328022837638855, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5290946364402771, 'llm', 0), ('bobazooba/xllm', 0.5261392593383789, 'llm', 0), ('extreme-bert/extreme-bert', 0.5199653506278992, 'llm', 0), ('hannibal046/awesome-llm', 0.5183480381965637, 'study', 0), ('artidoro/qlora', 0.5163824558258057, 'llm', 0), ('optimalscale/lmflow', 0.5153259038925171, 'llm', 1), ('juncongmoo/pyllama', 0.5146656036376953, 'llm', 0), ('huggingface/transformers', 0.51437908411026, 'nlp', 1), ('bigscience-workshop/petals', 0.5137228965759277, 'data', 1), ('next-gpt/next-gpt', 0.5096499919891357, 'llm', 0), ('jzhang38/tinyllama', 0.5081942081451416, 'llm', 0)]
20
2
null
0.04
5
0
50
8
0
0
0
5
4
90
0.8
35
295
sim
https://github.com/openai/mujoco-py
[]
null
[]
[]
null
null
null
openai/mujoco-py
mujoco-py
2,666
809
197
Cython
null
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
openai
2024-01-12
2016-04-24
405
6.578075
https://avatars.githubusercontent.com/u/14957082?v=4
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
[]
[]
2022-11-17
[('deepmind/dm_control', 0.5940796732902527, 'ml-rl', 0), ('viblo/pymunk', 0.5651075839996338, 'sim', 0)]
33
3
null
0
24
4
94
14
0
1
1
24
24
90
1
35
501
gis
https://github.com/google/earthengine-api
[]
null
[]
[]
null
null
null
google/earthengine-api
earthengine-api
2,445
980
203
JavaScript
null
Python and JavaScript bindings for calling the Earth Engine API.
google
2024-01-13
2015-04-22
457
5.340094
https://avatars.githubusercontent.com/u/1342004?v=4
Python and JavaScript bindings for calling the Earth Engine API.
[]
[]
2024-01-10
[('giswqs/geemap', 0.5498977899551392, 'gis', 0)]
37
1
null
0.46
3
1
106
0
0
34
34
3
0
90
0
35
1,158
util
https://github.com/nateshmbhat/pyttsx3
[]
null
[]
[]
null
null
null
nateshmbhat/pyttsx3
pyttsx3
1,816
296
37
Python
null
Offline Text To Speech synthesis for python
nateshmbhat
2024-01-14
2017-06-24
344
5.272501
null
Offline Text To Speech synthesis for python
['pyttsx', 'pyttsx3', 'text-to-speech', 'text-to-speech-python3']
['pyttsx', 'pyttsx3', 'text-to-speech', 'text-to-speech-python3']
2021-07-14
[('uberi/speech_recognition', 0.6923384070396423, 'ml', 0), ('pndurette/gtts', 0.6920114159584045, 'util', 1), ('espnet/espnet', 0.6220706105232239, 'nlp', 0), ('speechbrain/speechbrain', 0.5789477229118347, 'nlp', 0), ('facebookresearch/seamless_communication', 0.5521857142448425, 'nlp', 1), ('minimaxir/gpt-2-simple', 0.5467420220375061, 'llm', 0), ('spotify/pedalboard', 0.5451530814170837, 'util', 0), ('pytorch-labs/gpt-fast', 0.537563145160675, 'llm', 0), ('irmen/pyminiaudio', 0.536530077457428, 'util', 0), ('minimaxir/aitextgen', 0.5253090858459473, 'llm', 0), ('googleapis/python-speech', 0.5236392617225647, 'ml', 0), ('pypy/pypy', 0.5199990272521973, 'util', 0), ('m-bain/whisperx', 0.5181179046630859, 'nlp', 0), ('bastibe/python-soundfile', 0.5068590044975281, 'util', 0)]
15
5
null
0
20
3
80
30
0
3
3
20
31
90
1.6
35
415
ml
https://github.com/bmabey/pyldavis
[]
null
[]
[]
null
null
null
bmabey/pyldavis
pyLDAvis
1,756
355
53
Jupyter Notebook
null
Python library for interactive topic model visualization. Port of the R LDAvis package.
bmabey
2024-01-13
2015-04-09
459
3.819764
null
Python library for interactive topic model visualization. Port of the R LDAvis package.
[]
[]
2023-12-14
[('contextlab/hypertools', 0.5628495812416077, 'ml', 0), ('holoviz/holoviz', 0.518200159072876, 'viz', 0), ('enthought/mayavi', 0.5115525722503662, 'viz', 0), ('scitools/iris', 0.5086809992790222, 'gis', 0), ('altair-viz/altair', 0.5086315274238586, 'viz', 0)]
41
3
null
0.35
14
13
107
1
2
3
2
14
6
90
0.4
35
1,585
util
https://github.com/pydoit/doit
[]
null
[]
[]
null
null
null
pydoit/doit
doit
1,741
174
48
Python
http://pydoit.org
task management & automation tool
pydoit
2024-01-13
2014-02-14
519
3.350839
https://avatars.githubusercontent.com/u/6440864?v=4
task management & automation tool
['build-automation', 'build-system', 'build-tool', 'data-pipeline', 'data-science', 'task-runner', 'workflow', 'workflow-automation', 'workflow-management']
['build-automation', 'build-system', 'build-tool', 'data-pipeline', 'data-science', 'task-runner', 'workflow', 'workflow-automation', 'workflow-management']
2023-01-16
[('dagster-io/dagster', 0.5810200572013855, 'ml-ops', 3), ('avaiga/taipy', 0.5572507977485657, 'data', 1), ('ploomber/ploomber', 0.5523402094841003, 'ml-ops', 2), ('mage-ai/mage-ai', 0.551956057548523, 'ml-ops', 1), ('apache/airflow', 0.5482216477394104, 'ml-ops', 2), ('tox-dev/tox', 0.5430145859718323, 'testing', 0), ('chaostoolkit/chaostoolkit', 0.5246021747589111, 'util', 0), ('orchest/orchest', 0.522449254989624, 'ml-ops', 1), ('polyaxon/polyaxon', 0.5158570408821106, 'ml-ops', 2), ('netflix/metaflow', 0.5121597051620483, 'ml-ops', 1), ('kestra-io/kestra', 0.5050574541091919, 'ml-ops', 2)]
65
7
null
0
8
2
121
12
0
5
5
8
6
90
0.8
35
1,146
data
https://github.com/aio-libs/aiomysql
[]
null
[]
[]
null
null
null
aio-libs/aiomysql
aiomysql
1,675
253
47
Python
https://aiomysql.rtfd.io
aiomysql is a library for accessing a MySQL database from the asyncio
aio-libs
2024-01-11
2015-01-07
472
3.542296
https://avatars.githubusercontent.com/u/7049303?v=4
aiomysql is a library for accessing a MySQL database from the asyncio
['aiomysql', 'async', 'asyncio', 'mariadb', 'mysql', 'sqlalchemy']
['aiomysql', 'async', 'asyncio', 'mariadb', 'mysql', 'sqlalchemy']
2023-06-11
[('aio-libs/aiopg', 0.7151634693145752, 'data', 2), ('tiangolo/sqlmodel', 0.5758809447288513, 'data', 1), ('sqlalchemy/sqlalchemy', 0.5567764043807983, 'data', 1), ('mcfunley/pugsql', 0.5428056716918945, 'data', 0), ('timofurrer/awesome-asyncio', 0.522577166557312, 'study', 1), ('ibis-project/ibis', 0.5113950967788696, 'data', 2)]
98
6
null
0.5
7
3
110
7
1
3
1
7
6
90
0.9
35
607
testing
https://github.com/pytest-dev/pytest-cov
[]
null
[]
[]
null
null
null
pytest-dev/pytest-cov
pytest-cov
1,601
209
41
Python
null
Coverage plugin for pytest.
pytest-dev
2024-01-11
2014-04-17
510
3.134825
https://avatars.githubusercontent.com/u/8897583?v=4
Coverage plugin for pytest.
['pytest']
['pytest']
2023-05-24
[('pytest-dev/pytest-xdist', 0.7077765464782715, 'testing', 1), ('pytest-dev/pytest-mock', 0.6337581872940063, 'testing', 1), ('samuelcolvin/pytest-pretty', 0.6255528926849365, 'testing', 1), ('pytest-dev/pytest-asyncio', 0.6025922894477844, 'testing', 0), ('nedbat/coveragepy', 0.5966586470603943, 'testing', 0), ('teemu/pytest-sugar', 0.5729233622550964, 'testing', 1), ('samuelcolvin/dirty-equals', 0.5618858933448792, 'util', 1), ('computationalmodelling/nbval', 0.5596536993980408, 'jupyter', 1), ('pytest-dev/pytest', 0.5345095992088318, 'testing', 0), ('kiwicom/pytest-recording', 0.52159583568573, 'testing', 1), ('taverntesting/tavern', 0.511971116065979, 'testing', 1), ('ionelmc/pytest-benchmark', 0.5074380040168762, 'testing', 1)]
86
4
null
0.17
25
6
119
8
0
4
4
26
22
90
0.8
35
869
time-series
https://github.com/alkaline-ml/pmdarima
[]
null
[]
[]
null
null
null
alkaline-ml/pmdarima
pmdarima
1,470
229
34
Python
https://www.alkaline-ml.com/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
alkaline-ml
2024-01-13
2017-03-30
356
4.120945
https://avatars.githubusercontent.com/u/58331763?v=4
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
['arima', 'econometrics', 'forecasting', 'forecasting-models', 'machine-learning', 'pmdarima', 'sarimax', 'time-series']
['arima', 'econometrics', 'forecasting', 'forecasting-models', 'machine-learning', 'pmdarima', 'sarimax', 'time-series']
2023-10-23
[('firmai/atspy', 0.7777550220489502, 'time-series', 3), ('rjt1990/pyflux', 0.7352306842803955, 'time-series', 1), ('unit8co/darts', 0.7097618579864502, 'time-series', 3), ('awslabs/gluonts', 0.6824057102203369, 'time-series', 3), ('tdameritrade/stumpy', 0.6753336787223816, 'time-series', 0), ('rasbt/mlxtend', 0.6218876838684082, 'ml', 1), ('statsmodels/statsmodels', 0.6218242645263672, 'ml', 2), ('ta-lib/ta-lib-python', 0.6164563894271851, 'finance', 0), ('pycaret/pycaret', 0.6138346791267395, 'ml', 2), ('winedarksea/autots', 0.6125960350036621, 'time-series', 3), ('bashtage/arch', 0.6099317669868469, 'time-series', 2), ('pandas-dev/pandas', 0.5989955067634583, 'pandas', 0), ('uber/orbit', 0.5944992899894714, 'time-series', 4), ('linkedin/greykite', 0.5944582223892212, 'ml', 0), ('sktime/sktime', 0.5908213257789612, 'time-series', 3), ('salesforce/merlion', 0.589963436126709, 'time-series', 3), ('google/temporian', 0.5879765152931213, 'time-series', 1), ('scikit-learn/scikit-learn', 0.5828933715820312, 'ml', 1), ('facebook/prophet', 0.581493079662323, 'time-series', 2), ('stan-dev/pystan', 0.5813616514205933, 'ml', 0), ('nixtla/statsforecast', 0.5763822197914124, 'time-series', 5), ('aistream-peelout/flow-forecast', 0.5597772002220154, 'time-series', 2), ('wilsonrljr/sysidentpy', 0.5545415878295898, 'time-series', 2), ('microsoft/flaml', 0.5537622570991516, 'ml', 1), ('pytoolz/toolz', 0.5435473918914795, 'util', 0), ('microprediction/microprediction', 0.5424190759658813, 'time-series', 2), ('ourownstory/neural_prophet', 0.5404297709465027, 'ml', 3), ('gbeced/pyalgotrade', 0.5389692783355713, 'finance', 0), ('dateutil/dateutil', 0.536246657371521, 'util', 0), ('wesm/pydata-book', 0.5350579619407654, 'study', 0), ('blue-yonder/tsfresh', 0.5346757173538208, 'time-series', 1), ('salesforce/deeptime', 0.533848762512207, 'time-series', 2), ('cuemacro/finmarketpy', 0.5333058834075928, 'finance', 0), ('pmorissette/ffn', 0.5328418612480164, 'finance', 0), ('featurelabs/featuretools', 0.5302847623825073, 'ml', 1), ('goldmansachs/gs-quant', 0.5274640917778015, 'finance', 0), ('mementum/bta-lib', 0.526504635810852, 'finance', 0), ('autoviml/auto_ts', 0.5241935849189758, 'time-series', 2), ('ranaroussi/quantstats', 0.522229790687561, 'finance', 0), ('pastas/pastas', 0.518909215927124, 'time-series', 0), ('facebookresearch/kats', 0.5154160261154175, 'time-series', 1), ('polyaxon/datatile', 0.5126562118530273, 'pandas', 0), ('awslabs/autogluon', 0.5124308466911316, 'ml', 3), ('mljar/mljar-supervised', 0.509310781955719, 'ml', 1), ('plotly/dash', 0.5089923143386841, 'viz', 0), ('quantecon/quantecon.py', 0.5083404779434204, 'sim', 0), ('yzhao062/pyod', 0.5062800049781799, 'data', 1), ('twopirllc/pandas-ta', 0.5053380131721497, 'finance', 0), ('gradio-app/gradio', 0.5039731860160828, 'viz', 1), ('pysal/pysal', 0.5029148459434509, 'gis', 0), ('scikit-mobility/scikit-mobility', 0.5019405484199524, 'gis', 0)]
22
5
null
0.17
10
7
83
3
2
7
2
10
7
90
0.7
35
1,077
ml-ops
https://github.com/kubeflow/examples
[]
null
[]
[]
null
null
null
kubeflow/examples
examples
1,356
746
45
Jsonnet
null
A repository to host extended examples and tutorials
kubeflow
2024-01-13
2018-02-01
312
4.336227
https://avatars.githubusercontent.com/u/33164907?v=4
A repository to host extended examples and tutorials
[]
[]
2023-10-19
[('conceptofmind/toolformer', 0.5328210592269897, 'llm', 0)]
99
4
null
0.12
20
4
72
3
0
1
1
20
16
90
0.8
35
1,147
data
https://github.com/aio-libs/aiopg
[]
null
[]
[]
null
null
null
aio-libs/aiopg
aiopg
1,356
156
41
Python
http://aiopg.readthedocs.io
aiopg is a library for accessing a PostgreSQL database from the asyncio
aio-libs
2024-01-11
2014-04-03
512
2.644748
https://avatars.githubusercontent.com/u/7049303?v=4
aiopg is a library for accessing a PostgreSQL database from the asyncio
['asyncio', 'postgresql', 'sqlalchemy']
['asyncio', 'postgresql', 'sqlalchemy']
2023-08-30
[('aio-libs/aiomysql', 0.7151634693145752, 'data', 2), ('sqlalchemy/sqlalchemy', 0.5661270618438721, 'data', 1), ('coleifer/peewee', 0.5507586002349854, 'data', 0), ('tiangolo/sqlmodel', 0.546112596988678, 'data', 1), ('mcfunley/pugsql', 0.5243105888366699, 'data', 0), ('ibis-project/ibis', 0.5114596486091614, 'data', 2)]
62
7
null
0.13
3
2
119
5
0
6
6
3
3
90
1
35
810
ml-dl
https://github.com/calculatedcontent/weightwatcher
[]
null
[]
[]
null
null
null
calculatedcontent/weightwatcher
WeightWatcher
1,354
119
32
Python
null
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
calculatedcontent
2024-01-13
2018-11-28
269
5.01747
https://avatars.githubusercontent.com/u/4150431?v=4
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
[]
[]
2024-01-13
[('rasbt/deeplearning-models', 0.5426604747772217, 'ml-dl', 0), ('facebookresearch/ppuda', 0.5242863297462463, 'ml-dl', 0), ('intellabs/bayesian-torch', 0.51715487241745, 'ml', 0), ('neuralmagic/deepsparse', 0.5087005496025085, 'nlp', 0), ('rasbt/stat453-deep-learning-ss20', 0.505051851272583, 'study', 0), ('pytorch/ignite', 0.5007023811340332, 'ml-dl', 0)]
8
2
null
7
6
1
62
0
1
2
1
6
3
90
0.5
35
648
profiling
https://github.com/sumerc/yappi
[]
null
[]
[]
null
null
null
sumerc/yappi
yappi
1,317
72
15
Python
null
Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.
sumerc
2024-01-13
2009-10-07
746
1.763389
null
Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.
['asgi', 'asynchronous', 'asyncio', 'coroutine', 'cpu', 'gevent', 'greenlet', 'multi-threaded-applications', 'multithreading', 'performance', 'profile', 'profilers', 'thread']
['asgi', 'asynchronous', 'asyncio', 'coroutine', 'cpu', 'gevent', 'greenlet', 'multi-threaded-applications', 'multithreading', 'performance', 'profile', 'profilers', 'thread']
2023-12-18
[('noxdafox/pebble', 0.7094334959983826, 'perf', 1), ('pythonspeed/filprofiler', 0.6349960565567017, 'profiling', 0), ('python-trio/trio', 0.6272547245025635, 'perf', 0), ('joblib/joblib', 0.6218010783195496, 'util', 0), ('joerick/pyinstrument', 0.6088473200798035, 'profiling', 2), ('magicstack/uvloop', 0.6066219806671143, 'util', 1), ('benfred/py-spy', 0.6047118902206421, 'profiling', 0), ('timofurrer/awesome-asyncio', 0.6000396013259888, 'study', 1), ('agronholm/anyio', 0.593978226184845, 'perf', 1), ('klen/muffin', 0.5936639904975891, 'web', 2), ('samuelcolvin/arq', 0.5881884098052979, 'data', 1), ('pallets/quart', 0.5867199897766113, 'web', 2), ('neoteroi/blacksheep', 0.577142596244812, 'web', 2), ('klen/py-frameworks-bench', 0.5642154216766357, 'perf', 0), ('fastai/fastcore', 0.5639339685440063, 'util', 0), ('pympler/pympler', 0.559504508972168, 'perf', 0), ('pypy/pypy', 0.5568121671676636, 'util', 0), ('python-greenlet/greenlet', 0.5529376268386841, 'perf', 1), ('miguelgrinberg/python-socketio', 0.552412211894989, 'util', 2), ('tqdm/tqdm', 0.549595832824707, 'term', 0), ('plasma-umass/scalene', 0.549071192741394, 'profiling', 1), ('tiangolo/asyncer', 0.5410847067832947, 'perf', 1), ('locustio/locust', 0.5397162437438965, 'testing', 1), ('aio-libs/aiohttp', 0.5396091341972351, 'web', 1), ('airtai/faststream', 0.5390495657920837, 'perf', 1), ('jiffyclub/snakeviz', 0.5380180478096008, 'profiling', 0), ('alirn76/panther', 0.5367398858070374, 'web', 0), ('agronholm/apscheduler', 0.5361764430999756, 'util', 0), ('pyutils/line_profiler', 0.5341673493385315, 'profiling', 0), ('tornadoweb/tornado', 0.5336647629737854, 'web', 1), ('facebookincubator/cinder', 0.5309968590736389, 'perf', 0), ('reloadware/reloadium', 0.5243247151374817, 'profiling', 0), ('p403n1x87/austin', 0.5229708552360535, 'profiling', 1), ('faster-cpython/ideas', 0.5191786289215088, 'perf', 0), ('bogdanp/dramatiq', 0.517719566822052, 'util', 0), ('python-cachier/cachier', 0.5168151259422302, 'perf', 0), ('xrudelis/pytrait', 0.5159697532653809, 'util', 0), ('joblib/loky', 0.5158117413520813, 'perf', 0), ('ets-labs/python-dependency-injector', 0.5105165839195251, 'util', 1), ('ipython/ipyparallel', 0.5100932121276855, 'perf', 0), ('cython/cython', 0.5085721611976624, 'util', 1), ('google/gin-config', 0.5081563591957092, 'util', 0), ('starlite-api/starlite', 0.5070291757583618, 'web', 2), ('fluentpython/example-code-2e', 0.5051793456077576, 'study', 0), ('willmcgugan/textual', 0.5049981474876404, 'term', 0), ('eventlet/eventlet', 0.5047085285186768, 'perf', 1), ('mher/flower', 0.5045316219329834, 'perf', 1), ('samuelcolvin/watchfiles', 0.5043572187423706, 'util', 1), ('eleutherai/pyfra', 0.5033401250839233, 'ml', 0), ('encode/uvicorn', 0.5030171871185303, 'web', 2), ('dgilland/cacheout', 0.5023199915885925, 'perf', 0), ('s3rius/fastapi-template', 0.5003270506858826, 'web', 2)]
31
7
null
0.63
26
24
174
1
2
0
2
26
21
90
0.8
35
941
web
https://github.com/awtkns/fastapi-crudrouter
[]
null
[]
[]
null
null
null
awtkns/fastapi-crudrouter
fastapi-crudrouter
1,258
145
15
Python
https://fastapi-crudrouter.awtkns.com
A dynamic FastAPI router that automatically creates CRUD routes for your models
awtkns
2024-01-12
2020-12-19
162
7.744943
null
A dynamic FastAPI router that automatically creates CRUD routes for your models
['api', 'async', 'asyncio', 'code-generation', 'crud', 'crud-routes', 'fastapi', 'fastapi-crudrouter', 'framework', 'openapi', 'openapi-route', 'redoc', 'rest', 'sql', 'swagger-ui', 'web']
['api', 'async', 'asyncio', 'code-generation', 'crud', 'crud-routes', 'fastapi', 'fastapi-crudrouter', 'framework', 'openapi', 'openapi-route', 'redoc', 'rest', 'sql', 'swagger-ui', 'web']
2023-01-28
[('vitalik/django-ninja', 0.6941371560096741, 'web', 2), ('tiangolo/fastapi', 0.6808283925056458, 'web', 10), ('tiangolo/full-stack-fastapi-postgresql', 0.5604096055030823, 'template', 2), ('starlite-api/starlite', 0.550251841545105, 'web', 5), ('asacristani/fastapi-rocket-boilerplate', 0.5432131886482239, 'template', 1), ('dmontagu/fastapi_client', 0.5253075361251831, 'web', 0), ('s3rius/fastapi-template', 0.514696478843689, 'web', 2), ('python-restx/flask-restx', 0.5144665837287903, 'web', 2), ('fastapi-users/fastapi-users', 0.5089220404624939, 'web', 3)]
21
4
null
0.15
8
2
37
12
1
3
1
8
11
90
1.4
35
620
viz
https://github.com/enthought/mayavi
['visualization', 'scientific-visualization']
null
[]
[]
null
null
null
enthought/mayavi
mayavi
1,192
276
96
Python
http://docs.enthought.com/mayavi/mayavi/
3D visualization of scientific data in Python
enthought
2024-01-12
2011-01-24
679
1.755154
https://avatars.githubusercontent.com/u/539651?v=4
3D visualization of scientific data in Python
[]
['scientific-visualization', 'visualization']
2023-12-09
[('mwaskom/seaborn', 0.7422676086425781, 'viz', 0), ('marcomusy/vedo', 0.742211639881134, 'viz', 2), ('pyqtgraph/pyqtgraph', 0.734231173992157, 'viz', 2), ('scitools/iris', 0.7232843041419983, 'gis', 0), ('altair-viz/altair', 0.7132139801979065, 'viz', 1), ('contextlab/hypertools', 0.6949652433395386, 'ml', 1), ('dfki-ric/pytransform3d', 0.6477158665657043, 'math', 1), ('holoviz/holoviz', 0.6358242630958557, 'viz', 0), ('man-group/dtale', 0.6186628937721252, 'viz', 1), ('residentmario/geoplot', 0.6169453859329224, 'gis', 0), ('matplotlib/matplotlib', 0.6048174500465393, 'viz', 0), ('numpy/numpy', 0.5977712869644165, 'math', 0), ('holoviz/geoviews', 0.5856287479400635, 'gis', 0), ('pyvista/pyvista', 0.5794352293014526, 'viz', 2), ('holoviz/hvplot', 0.5784933567047119, 'pandas', 0), ('lux-org/lux', 0.5663363337516785, 'viz', 1), ('kanaries/pygwalker', 0.5563317537307739, 'pandas', 1), ('roban/cosmolopy', 0.5520604252815247, 'sim', 0), ('bokeh/bokeh', 0.550900936126709, 'viz', 1), ('maartenbreddels/ipyvolume', 0.5471249222755432, 'jupyter', 1), ('jakevdp/pythondatasciencehandbook', 0.5390788912773132, 'study', 0), ('gregorhd/mapcompare', 0.5386293530464172, 'gis', 0), ('westhealth/pyvis', 0.5338135361671448, 'graph', 0), ('holoviz/panel', 0.5323789715766907, 'viz', 0), ('has2k1/plotnine', 0.5297136902809143, 'viz', 0), ('earthlab/earthpy', 0.5246884822845459, 'gis', 0), ('pysal/pysal', 0.5210456848144531, 'gis', 0), ('scitools/cartopy', 0.5173063278198242, 'gis', 0), ('plotly/plotly.py', 0.5172713398933411, 'viz', 1), ('vispy/vispy', 0.5171870589256287, 'viz', 1), ('datapane/datapane', 0.5168454051017761, 'viz', 0), ('holoviz/holoviews', 0.5158518552780151, 'viz', 0), ('bmabey/pyldavis', 0.5115525722503662, 'ml', 0), ('artelys/geonetworkx', 0.5101572275161743, 'gis', 0), ('holoviz/datashader', 0.504320502281189, 'gis', 0), ('eleutherai/pyfra', 0.5028614401817322, 'ml', 0), ('cuemacro/chartpy', 0.5027343034744263, 'viz', 0), ('albahnsen/pycircular', 0.5026959776878357, 'math', 0), ('graphistry/pygraphistry', 0.5026683807373047, 'data', 1), ('vizzuhq/ipyvizzu', 0.501654863357544, 'jupyter', 0)]
95
6
null
0.44
14
4
158
1
0
3
3
14
13
90
0.9
35
1,017
term
https://github.com/jazzband/prettytable
[]
null
[]
[]
null
null
null
jazzband/prettytable
prettytable
1,186
137
22
Python
https://pypi.org/project/PrettyTable/
Display tabular data in a visually appealing ASCII table format
jazzband
2024-01-13
2016-01-15
419
2.826694
https://avatars.githubusercontent.com/u/15129049?v=4
Display tabular data in a visually appealing ASCII table format
['package', 'utility-library']
['package', 'utility-library']
2024-01-01
[('astanin/python-tabulate', 0.6471048593521118, 'util', 0), ('wireservice/csvkit', 0.5902390480041504, 'util', 0), ('camelot-dev/camelot', 0.5252398252487183, 'util', 0), ('jazzband/tablib', 0.5020918250083923, 'data', 0)]
55
2
null
0.46
16
10
97
0
3
3
3
15
14
90
0.9
35
537
util
https://github.com/pdoc3/pdoc
[]
null
[]
[]
null
null
null
pdoc3/pdoc
pdoc
1,051
147
8
Python
https://pdoc3.github.io/pdoc/
:snake: :arrow_right: :scroll: Auto-generate API documentation for Python projects
pdoc3
2024-01-12
2019-01-02
264
3.968177
https://avatars.githubusercontent.com/u/46306955?v=4
🐍 :arrow_right: πŸ“œ Auto-generate API documentation for Python projects
['api-documentation', 'docs', 'docs-generator', 'docstring', 'docstring-documentation', 'docstrings', 'documentation', 'documentation-dumper', 'documentation-generator', 'documentation-tool', 'generator', 'pdoc']
['api-documentation', 'docs', 'docs-generator', 'docstring', 'docstring-documentation', 'docstrings', 'documentation', 'documentation-dumper', 'documentation-generator', 'documentation-tool', 'generator', 'pdoc']
2022-12-21
[('mitmproxy/pdoc', 0.7915372252464294, 'util', 8), ('sphinx-doc/sphinx', 0.6652024388313293, 'util', 3), ('mkdocstrings/mkdocstrings', 0.6134604215621948, 'util', 1), ('mkdocstrings/griffe', 0.5867151618003845, 'util', 1), ('danielnoord/pydocstringformatter', 0.5444629192352295, 'util', 1), ('pyscaffold/pyscaffold', 0.5431029796600342, 'template', 0), ('mkdocstrings/python', 0.5424914360046387, 'util', 1), ('hhatto/autopep8', 0.5197219252586365, 'util', 0), ('mkdocs/mkdocs', 0.5143741369247437, 'util', 1), ('eugeneyan/python-collab-template', 0.5139718651771545, 'template', 0), ('eternnoir/pytelegrambotapi', 0.5075708031654358, 'util', 0), ('asacristani/fastapi-rocket-boilerplate', 0.502884566783905, 'template', 0)]
58
4
null
0
18
9
61
13
0
10
10
18
13
90
0.7
35
1,061
ml-rl
https://github.com/arise-initiative/robosuite
[]
null
[]
[]
null
null
null
arise-initiative/robosuite
robosuite
993
329
25
Python
https://robosuite.ai
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
arise-initiative
2024-01-13
2018-10-25
274
3.614665
https://avatars.githubusercontent.com/u/66855713?v=4
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
['physics-simulation', 'reinforcement-learning', 'robot-learning', 'robot-manipulation', 'robotics']
['physics-simulation', 'reinforcement-learning', 'robot-learning', 'robot-manipulation', 'robotics']
2023-09-29
[('nvidia-omniverse/orbit', 0.6593456268310547, 'sim', 2), ('pytorch/rl', 0.6132838129997253, 'ml-rl', 2), ('facebookresearch/habitat-lab', 0.596968412399292, 'sim', 2), ('google/brax', 0.5911247134208679, 'sim', 3), ('unity-technologies/ml-agents', 0.58687424659729, 'ml-rl', 1), ('nvidia-omniverse/omniisaacgymenvs', 0.5800082087516785, 'sim', 1), ('thu-ml/tianshou', 0.5250179171562195, 'ml-rl', 0), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5221055746078491, 'study', 1), ('bulletphysics/bullet3', 0.5200599431991577, 'sim', 2), ('tensorlayer/tensorlayer', 0.5120179057121277, 'ml-rl', 1), ('deepmind/dm_control', 0.5112686157226562, 'ml-rl', 2), ('humancompatibleai/imitation', 0.5085115432739258, 'ml-rl', 0), ('openai/gym', 0.500554084777832, 'ml-rl', 1)]
24
3
null
0.21
36
19
64
4
0
2
2
36
53
90
1.5
35
250
ml-dl
https://github.com/tensorflow/similarity
[]
null
[]
[]
null
null
null
tensorflow/similarity
similarity
990
106
29
Python
null
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
tensorflow
2024-01-12
2020-06-15
189
5.234139
https://avatars.githubusercontent.com/u/15658638?v=4
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
['barlow-twins', 'clustering', 'contrastive-learning', 'cosine-similarity', 'deep-learning', 'knn', 'machine-learning', 'metric-learning', 'nearest-neighbor-search', 'nearest-neighbors', 'simclr', 'simclr2', 'similarity-learning', 'similarity-search', 'simsiam', 'tensorflow', 'unsupervised-learning']
['barlow-twins', 'clustering', 'contrastive-learning', 'cosine-similarity', 'deep-learning', 'knn', 'machine-learning', 'metric-learning', 'nearest-neighbor-search', 'nearest-neighbors', 'simclr', 'simclr2', 'similarity-learning', 'similarity-search', 'simsiam', 'tensorflow', 'unsupervised-learning']
2023-10-23
[('qdrant/quaterion', 0.6630039811134338, 'ml', 9), ('tensorly/tensorly', 0.6049955487251282, 'ml-dl', 2), ('arogozhnikov/einops', 0.5858622193336487, 'ml-dl', 2), ('ggerganov/ggml', 0.5696033239364624, 'ml', 1), ('tensorflow/addons', 0.5603650212287903, 'ml', 3), ('google/tf-quant-finance', 0.552481472492218, 'finance', 1), ('horovod/horovod', 0.5510625839233398, 'ml-ops', 3), ('rafiqhasan/auto-tensorflow', 0.5478165745735168, 'ml-dl', 2), ('intel/intel-extension-for-pytorch', 0.5410365462303162, 'perf', 2), ('huggingface/transformers', 0.5352794528007507, 'nlp', 3), ('oml-team/open-metric-learning', 0.5347641706466675, 'ml', 3), ('kevinmusgrave/pytorch-metric-learning', 0.5301912426948547, 'ml', 4), ('nyandwi/modernconvnets', 0.5236626863479614, 'ml-dl', 1), ('qdrant/qdrant', 0.522907555103302, 'data', 3), ('xl0/lovely-tensors', 0.5119929313659668, 'ml-dl', 1), ('pytorch/ignite', 0.5106225609779358, 'ml-dl', 2), ('ddbourgin/numpy-ml', 0.510289192199707, 'ml', 2), ('tensorflow/tensorflow', 0.5089390277862549, 'ml-dl', 3), ('explosion/thinc', 0.5028195381164551, 'ml-dl', 3), ('skorch-dev/skorch', 0.5013630986213684, 'ml-dl', 1)]
35
3
null
1.73
7
3
44
3
2
2
2
7
4
90
0.6
35
845
data
https://github.com/eliasdabbas/advertools
[]
null
[]
[]
null
null
null
eliasdabbas/advertools
advertools
979
192
35
Python
https://advertools.readthedocs.io
advertools - online marketing productivity and analysis tools
eliasdabbas
2024-01-13
2017-05-14
350
2.794861
null
advertools - online marketing productivity and analysis tools
['advertising', 'adwords', 'digital-marketing', 'google-ads', 'keywords', 'log-analysis', 'logfile-parser', 'marketing', 'online-marketing', 'robots-txt', 'scrapy', 'search-engine-marketing', 'search-engine-optimization', 'seo', 'seo-crawler', 'serp', 'social-media', 'twitter-api', 'youtube']
['advertising', 'adwords', 'digital-marketing', 'google-ads', 'keywords', 'log-analysis', 'logfile-parser', 'marketing', 'online-marketing', 'robots-txt', 'scrapy', 'search-engine-marketing', 'search-engine-optimization', 'seo', 'seo-crawler', 'serp', 'social-media', 'twitter-api', 'youtube']
2023-11-03
[('sloria/textblob', 0.5545390248298645, 'nlp', 0), ('clips/pattern', 0.5270535349845886, 'nlp', 0)]
9
4
null
1.21
16
13
81
2
0
6
6
16
14
90
0.9
35
1,576
llm
https://github.com/lupantech/chameleon-llm
['reasoning', 'language-model']
null
[]
[]
null
null
null
lupantech/chameleon-llm
chameleon-llm
968
84
18
Jupyter Notebook
https://chameleon-llm.github.io
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
lupantech
2024-01-13
2023-04-19
40
23.692308
null
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
['ai', 'chatgpt', 'gpt-4', 'llm', 'openai', 'tool']
['ai', 'chatgpt', 'gpt-4', 'language-model', 'llm', 'openai', 'reasoning', 'tool']
2023-12-23
[('reasoning-machines/pal', 0.672268271446228, 'llm', 2), ('kyegomez/tree-of-thoughts', 0.6684974431991577, 'llm', 1), ('microsoft/autogen', 0.661708652973175, 'llm', 2), ('hannibal046/awesome-llm', 0.6220220327377319, 'study', 1), ('lianjiatech/belle', 0.6197055578231812, 'llm', 0), ('lm-sys/fastchat', 0.6096516251564026, 'llm', 1), ('next-gpt/next-gpt', 0.6010711193084717, 'llm', 3), ('xtekky/gpt4free', 0.5982718467712402, 'llm', 4), ('openlmlab/moss', 0.5891066789627075, 'llm', 2), ('dylanhogg/llmgraph', 0.574148416519165, 'ml', 2), ('guidance-ai/guidance', 0.5735355019569397, 'llm', 2), ('microsoft/generative-ai-for-beginners', 0.5721330046653748, 'study', 4), ('killianlucas/open-interpreter', 0.5703567862510681, 'llm', 2), ('nomic-ai/gpt4all', 0.5625832080841064, 'llm', 1), ('guardrails-ai/guardrails', 0.5615499019622803, 'llm', 3), ('ctlllll/llm-toolmaker', 0.5588576197624207, 'llm', 1), ('run-llama/rags', 0.5582309365272522, 'llm', 3), ('prefecthq/marvin', 0.5581182837486267, 'nlp', 3), ('yueyu1030/attrprompt', 0.5579221248626709, 'llm', 0), ('srush/minichain', 0.5546031594276428, 'llm', 0), ('freedomintelligence/llmzoo', 0.5542495250701904, 'llm', 1), ('salesforce/codet5', 0.551190972328186, 'nlp', 1), ('embedchain/embedchain', 0.5511299967765808, 'llm', 3), ('eugeneyan/obsidian-copilot', 0.5486295819282532, 'llm', 1), ('bobazooba/xllm', 0.5471572875976562, 'llm', 4), ('eth-sri/lmql', 0.5429258942604065, 'llm', 2), ('aiwaves-cn/agents', 0.5420612692832947, 'nlp', 2), ('oobabooga/text-generation-webui', 0.5410828590393066, 'llm', 1), ('mindsdb/mindsdb', 0.5369391441345215, 'data', 2), ('databrickslabs/dolly', 0.5342248678207397, 'llm', 0), ('spcl/graph-of-thoughts', 0.5331078171730042, 'llm', 1), ('juncongmoo/pyllama', 0.5328553915023804, 'llm', 0), ('chatarena/chatarena', 0.5320706963539124, 'llm', 3), ('huggingface/text-generation-inference', 0.531190812587738, 'llm', 0), ('davidadsp/generative_deep_learning_2nd_edition', 0.5299697518348694, 'study', 1), ('minedojo/voyager', 0.5282621383666992, 'llm', 0), ('llmware-ai/llmware', 0.5269300937652588, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.5233466029167175, 'llm', 1), ('microsoft/lora', 0.5212894082069397, 'llm', 1), ('togethercomputer/redpajama-data', 0.5191816687583923, 'llm', 0), ('stanfordnlp/dspy', 0.5166156888008118, 'llm', 1), ('conceptofmind/toolformer', 0.5162728428840637, 'llm', 1), ('openlm-research/open_llama', 0.5159003138542175, 'llm', 1), ('modularml/mojo', 0.5143639445304871, 'util', 1), ('salesforce/codegen', 0.5142695307731628, 'nlp', 1), ('eureka-research/eureka', 0.5140032768249512, 'ml-rl', 0), ('ai21labs/lm-evaluation', 0.5124858617782593, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.5114999413490295, 'llm', 2), ('openai/finetune-transformer-lm', 0.5111390352249146, 'llm', 0), ('optimalscale/lmflow', 0.509954571723938, 'llm', 2), ('argilla-io/argilla', 0.5085508823394775, 'nlp', 3), ('deeppavlov/deeppavlov', 0.5067449808120728, 'nlp', 1), ('deepset-ai/haystack', 0.505305290222168, 'llm', 3), ('thudm/codegeex', 0.5048568844795227, 'llm', 0), ('langchain-ai/langgraph', 0.5040978193283081, 'llm', 0), ('thudm/chatglm2-6b', 0.5024386644363403, 'llm', 1), ('young-geng/easylm', 0.5002449154853821, 'llm', 1)]
2
1
null
0.73
1
1
9
1
1
1
1
1
0
90
0
35
1,692
util
https://github.com/pyo3/rust-numpy
['rust']
null
[]
[]
null
null
null
pyo3/rust-numpy
rust-numpy
941
90
23
Rust
null
PyO3-based Rust bindings of the NumPy C-API
pyo3
2024-01-07
2017-04-21
353
2.661414
https://avatars.githubusercontent.com/u/28156855?v=4
PyO3-based Rust bindings of the NumPy C-API
['ndarray', 'numpy', 'numpy-capi', 'rust-bindings', 'rust-ndarray', 'rust-numpy']
['ndarray', 'numpy', 'numpy-capi', 'rust', 'rust-bindings', 'rust-ndarray', 'rust-numpy']
2023-11-11
[('pyo3/pyo3', 0.6885672211647034, 'util', 1), ('pyo3/maturin', 0.654156506061554, 'util', 1), ('rustpython/rustpython', 0.5917856097221375, 'util', 1), ('delta-io/delta-rs', 0.5224049687385559, 'pandas', 1), ('aswinnnn/pyscan', 0.5087146759033203, 'security', 1), ('cupy/cupy', 0.5001054406166077, 'math', 1)]
42
3
null
0.6
6
3
82
2
3
5
3
6
15
90
2.5
35
1,501
ml-dl
https://github.com/deepmind/android_env
[]
null
[]
[]
null
null
null
deepmind/android_env
android_env
923
62
27
Python
null
RL research on Android devices.
deepmind
2024-01-12
2021-04-21
144
6.371795
https://avatars.githubusercontent.com/u/8596759?v=4
RL research on Android devices.
['android', 'reinforcement-learning']
['android', 'reinforcement-learning']
2024-01-12
[('denys88/rl_games', 0.577807605266571, 'ml-rl', 1), ('lucidrains/palm-rlhf-pytorch', 0.5164604187011719, 'ml-rl', 1)]
8
3
null
1.23
30
30
33
0
1
1
1
30
0
90
0
35
23
math
https://github.com/fredrik-johansson/mpmath
[]
null
[]
[]
null
null
null
fredrik-johansson/mpmath
mpmath
863
170
39
Python
http://mpmath.org
Python library for arbitrary-precision floating-point arithmetic
fredrik-johansson
2024-01-12
2011-12-07
633
1.361506
https://avatars.githubusercontent.com/u/118537268?v=4
Python library for arbitrary-precision floating-point arithmetic
['arbitrary-precision', 'complex-numbers', 'floating-point', 'multiprecision', 'numerical-integration', 'numerical-methods', 'numerical-optimization', 'ordinary-differential-equations', 'plotting', 'special-functions']
['arbitrary-precision', 'complex-numbers', 'floating-point', 'multiprecision', 'numerical-integration', 'numerical-methods', 'numerical-optimization', 'ordinary-differential-equations', 'plotting', 'special-functions']
2024-01-05
[('sympy/sympy', 0.6130483150482178, 'math', 0), ('numpy/numpy', 0.5976458191871643, 'math', 0), ('pmorissette/ffn', 0.58493971824646, 'finance', 0), ('pytoolz/toolz', 0.580827534198761, 'util', 0), ('connorferster/handcalcs', 0.5756496787071228, 'jupyter', 0), ('scikit-geometry/scikit-geometry', 0.5644670724868774, 'gis', 0), ('pyston/pyston', 0.5607538819313049, 'util', 0), ('pypy/pypy', 0.5547716021537781, 'util', 0), ('scipy/scipy', 0.5546449422836304, 'math', 0), ('legrandin/pycryptodome', 0.5532434582710266, 'util', 0), ('hgrecco/pint', 0.5482094883918762, 'util', 0), ('cython/cython', 0.527232825756073, 'util', 0), ('gbeced/pyalgotrade', 0.5237154364585876, 'finance', 0), ('scikit-hep/uproot5', 0.516451895236969, 'data', 0), ('goldmansachs/gs-quant', 0.5134932398796082, 'finance', 0), ('1200wd/bitcoinlib', 0.5103440284729004, 'crypto', 0), ('google/jax', 0.5052241086959839, 'ml', 0), ('ta-lib/ta-lib-python', 0.5021244287490845, 'finance', 0)]
56
4
null
3.75
147
127
147
0
1
1
1
147
55
90
0.4
35
784
sim
https://github.com/viblo/pymunk
[]
null
[]
[]
1
null
null
viblo/pymunk
pymunk
843
184
21
Python
http://www.pymunk.org
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
viblo
2024-01-12
2013-10-02
538
1.564422
null
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
['physics-2d', 'physics-engine', 'physics-simulation', 'pygame', 'pyglet']
['physics-2d', 'physics-engine', 'physics-simulation', 'pygame', 'pyglet']
2023-12-25
[('pypy/pypy', 0.5984816551208496, 'util', 0), ('pyglet/pyglet', 0.5925350189208984, 'gamedev', 1), ('pythonarcade/arcade', 0.584841787815094, 'gamedev', 0), ('marcomusy/vedo', 0.5741404294967651, 'viz', 0), ('pygame/pygame', 0.5696349740028381, 'gamedev', 1), ('openai/mujoco-py', 0.5651075839996338, 'sim', 0), ('bulletphysics/bullet3', 0.5624234080314636, 'sim', 0), ('gboeing/pynamical', 0.5553194880485535, 'sim', 0), ('pytoolz/toolz', 0.5366160869598389, 'util', 0), ('cyrus2d/pyrus2d', 0.5240238904953003, 'sim', 0), ('pandas-dev/pandas', 0.5168660283088684, 'pandas', 0)]
18
3
null
1.15
5
3
125
1
3
3
3
5
20
90
4
35
1,794
viz
https://github.com/hazyresearch/meerkat
[]
null
[]
[]
1
null
null
hazyresearch/meerkat
meerkat
793
45
15
Python
null
Creative interactive views of any dataset.
hazyresearch
2024-01-10
2021-05-07
142
5.562124
https://avatars.githubusercontent.com/u/2165246?v=4
Creative interactive views of any dataset.
['data-science', 'foundation-models', 'machine-learning', 'ml', 'pandas']
['data-science', 'foundation-models', 'machine-learning', 'ml', 'pandas']
2023-06-27
[('huggingface/datasets', 0.5792464017868042, 'nlp', 2), ('lux-org/lux', 0.5568585991859436, 'viz', 2), ('man-group/dtale', 0.5547817945480347, 'viz', 2), ('polyaxon/datatile', 0.5525878071784973, 'pandas', 2), ('raphaelquast/eomaps', 0.543424129486084, 'gis', 0), ('pair-code/lit', 0.5387915968894958, 'ml-interpretability', 1), ('districtdatalabs/yellowbrick', 0.5290077924728394, 'ml', 1), ('bokeh/bokeh', 0.5242655277252197, 'viz', 0), ('holoviz/panel', 0.5195465683937073, 'viz', 0), ('tensorflow/data-validation', 0.5165846943855286, 'ml-ops', 0), ('adamerose/pandasgui', 0.5161508321762085, 'pandas', 1), ('huggingface/evaluate', 0.5127301216125488, 'ml', 1), ('koaning/embetter', 0.5117366313934326, 'data', 0), ('firmai/industry-machine-learning', 0.5096346735954285, 'study', 2), ('holoviz/datashader', 0.5083599090576172, 'gis', 0), ('jovianml/opendatasets', 0.5027737021446228, 'data', 2), ('mwaskom/seaborn', 0.5017697215080261, 'viz', 2)]
20
2
null
14.56
2
0
33
7
7
15
7
2
1
90
0.5
35
1,276
llm
https://github.com/oliveirabruno01/babyagi-asi
[]
null
[]
[]
null
null
null
oliveirabruno01/babyagi-asi
babyagi-asi
733
82
18
Python
null
BabyAGI: an Autonomous and Self-Improving agent, or BASI
oliveirabruno01
2024-01-14
2023-04-07
42
17.218121
null
BabyAGI: an Autonomous and Self-Improving agent, or BASI
['agi', 'ai', 'autonomous-agents', 'chain-of-thought', 'program-of-thoughts']
['agi', 'ai', 'autonomous-agents', 'chain-of-thought', 'program-of-thoughts']
2023-06-02
[('transformeroptimus/superagi', 0.5967099666595459, 'llm', 3), ('prefecthq/marvin', 0.5443987846374512, 'nlp', 1), ('operand/agency', 0.519800066947937, 'llm', 3), ('antonosika/gpt-engineer', 0.518890917301178, 'llm', 1), ('jina-ai/thinkgpt', 0.5025618076324463, 'llm', 1), ('noahshinn/reflexion', 0.5022252798080444, 'llm', 1)]
15
5
null
2.33
0
0
9
8
0
0
0
0
0
90
0
35
1,032
finance
https://github.com/rsheftel/pandas_market_calendars
[]
null
[]
[]
null
null
null
rsheftel/pandas_market_calendars
pandas_market_calendars
695
150
31
Python
null
Exchange calendars to use with pandas for trading applications
rsheftel
2024-01-13
2016-12-07
372
1.863985
null
Exchange calendars to use with pandas for trading applications
['calendar', 'date', 'datetime', 'exchange', 'pandas']
['calendar', 'date', 'datetime', 'exchange', 'pandas']
2023-12-31
[('gerrymanoim/exchange_calendars', 0.6709998846054077, 'finance', 0), ('adamerose/pandasgui', 0.5483811497688293, 'pandas', 1), ('tkrabel/bamboolib', 0.5060363411903381, 'pandas', 1)]
48
3
null
0.9
28
24
86
0
7
4
7
28
20
90
0.7
35
1,489
llm
https://github.com/opengenerativeai/genossgpt
[]
null
[]
[]
null
null
null
opengenerativeai/genossgpt
GenossGPT
682
56
13
Python
https://genoss.ai/
One API for all LLMs either Private or Public (Anthropic, Llama V2, GPT 3.5/4, Vertex, GPT4ALL, HuggingFace ...) πŸŒˆπŸ‚ Replace OpenAI GPT with any LLMs in your app with one line.
opengenerativeai
2024-01-14
2023-07-16
28
24.111111
https://avatars.githubusercontent.com/u/102953894?v=4
One API for all LLMs either Private or Public (Anthropic, Llama V2, GPT 3.5/4, Vertex, GPT4ALL, HuggingFace ...) πŸŒˆπŸ‚ Replace OpenAI GPT with any LLMs in your app with one line.
['api', 'gpt', 'gpt4all', 'huggingface', 'inference', 'llama', 'llm', 'openai', 'private', 'public']
['api', 'gpt', 'gpt4all', 'huggingface', 'inference', 'llama', 'llm', 'openai', 'private', 'public']
2023-08-28
[('berriai/litellm', 0.7308034896850586, 'llm', 2), ('shishirpatil/gorilla', 0.6697072982788086, 'llm', 2), ('mmabrouk/chatgpt-wrapper', 0.56969153881073, 'llm', 2), ('vllm-project/vllm', 0.5517637133598328, 'llm', 4), ('openai/openai-cookbook', 0.5448883175849915, 'ml', 1), ('chainlit/chainlit', 0.5370033979415894, 'llm', 2), ('jerryjliu/llama_index', 0.5268757939338684, 'llm', 2), ('langchain-ai/opengpts', 0.5244327783584595, 'llm', 1), ('microsoft/semantic-kernel', 0.5167599320411682, 'llm', 2), ('predibase/lorax', 0.5129587650299072, 'llm', 3), ('farizrahman4u/loopgpt', 0.5030877590179443, 'llm', 1), ('dylanhogg/llmgraph', 0.5003108382225037, 'ml', 1)]
4
2
null
2.29
1
0
6
5
1
2
1
1
0
90
0
35
1,432
util
https://github.com/tox-dev/py-filelock
['communication', 'processes']
null
[]
[]
null
null
null
tox-dev/py-filelock
filelock
614
92
15
Python
https://py-filelock.readthedocs.io
A platform-independent file lock for Python.
tox-dev
2024-01-12
2014-02-23
518
1.184675
https://avatars.githubusercontent.com/u/20345659?v=4
A platform-independent file lock for Python.
['filelock']
['communication', 'filelock', 'processes']
2024-01-10
[('fsspec/filesystem_spec', 0.6173799633979797, 'util', 0), ('python-trio/trio', 0.5723570585250854, 'perf', 0), ('pantsbuild/pex', 0.5669477581977844, 'util', 0), ('bogdanp/dramatiq', 0.5492278337478638, 'util', 0), ('samuelcolvin/watchfiles', 0.5285630822181702, 'util', 0)]
41
4
null
1.52
19
17
120
0
17
6
17
19
18
90
0.9
35
787
gis
https://github.com/kvos/coastsat
[]
null
[]
[]
null
null
null
kvos/coastsat
CoastSat
589
228
24
Jupyter Notebook
http://coastsat.wrl.unsw.edu.au/
Global shoreline mapping tool from satellite imagery
kvos
2024-01-09
2018-09-28
278
2.114359
null
Global shoreline mapping tool from satellite imagery
['coastal-engineering', 'earth-engine', 'google-earth-engine', 'remote-sensing', 'satellite-images', 'shoreline-detection']
['coastal-engineering', 'earth-engine', 'google-earth-engine', 'remote-sensing', 'satellite-images', 'shoreline-detection']
2023-12-18
[]
16
5
null
0.75
49
43
64
1
2
3
2
49
70
90
1.4
35
1,270
ml
https://github.com/qdrant/quaterion
[]
null
[]
[]
null
null
null
qdrant/quaterion
quaterion
586
42
11
Python
https://quaterion.qdrant.tech/
Blazing fast framework for fine-tuning similarity learning models
qdrant
2024-01-11
2021-08-31
126
4.650794
https://avatars.githubusercontent.com/u/73504361?v=4
Blazing fast framework for fine-tuning similarity learning models
['contrastive-learning', 'cosine-similarity', 'deep-learning', 'knn', 'machine-learning', 'metric-learning', 'nearest-neighbor-search', 'pytorch', 'pytorch-lightning', 'similarity-learning', 'similarity-search']
['contrastive-learning', 'cosine-similarity', 'deep-learning', 'knn', 'machine-learning', 'metric-learning', 'nearest-neighbor-search', 'pytorch', 'pytorch-lightning', 'similarity-learning', 'similarity-search']
2023-12-29
[('tensorflow/similarity', 0.6630039811134338, 'ml-dl', 9), ('criteo/autofaiss', 0.6242879629135132, 'ml', 1), ('oml-team/open-metric-learning', 0.618319571018219, 'ml', 5), ('kevinmusgrave/pytorch-metric-learning', 0.584888219833374, 'ml', 5), ('lmcinnes/pynndescent', 0.5621644854545593, 'ml', 1), ('jina-ai/finetuner', 0.5520226359367371, 'ml', 2), ('qdrant/qdrant', 0.5457815527915955, 'data', 3), ('facebookresearch/faiss', 0.5449787378311157, 'ml', 0), ('pytorch/ignite', 0.5309311747550964, 'ml-dl', 3), ('scikit-learn-contrib/metric-learn', 0.5228015184402466, 'ml', 2), ('neuralmagic/sparseml', 0.5124584436416626, 'ml-dl', 1), ('huggingface/transformers', 0.5091818571090698, 'nlp', 3), ('skorch-dev/skorch', 0.506058394908905, 'ml-dl', 2), ('koaning/human-learn', 0.5016433000564575, 'data', 1)]
14
3
null
0.15
9
6
29
1
1
14
1
9
19
90
2.1
35
1,691
util
https://github.com/pyo3/setuptools-rust
['setuptools', 'rust', 'build']
null
[]
[]
null
null
null
pyo3/setuptools-rust
setuptools-rust
533
91
15
Python
https://setuptools-rust.readthedocs.io
Setuptools plugin for Rust support
pyo3
2024-01-11
2017-03-09
359
1.481732
https://avatars.githubusercontent.com/u/28156855?v=4
Setuptools plugin for Rust support
['rust', 'setuptools']
['build', 'rust', 'setuptools']
2024-01-02
[('pypa/setuptools', 0.6672810912132263, 'util', 2), ('pyo3/maturin', 0.5044507384300232, 'util', 1)]
49
5
null
2.15
34
34
83
0
4
7
4
34
18
90
0.5
35
1,229
perf
https://github.com/python-cachier/cachier
[]
null
[]
[]
null
null
null
python-cachier/cachier
cachier
482
57
8
Python
null
Persistent, stale-free, local and cross-machine caching for Python functions.
python-cachier
2024-01-12
2016-08-24
387
1.242726
https://avatars.githubusercontent.com/u/119668473?v=4
Persistent, stale-free, local and cross-machine caching for Python functions.
['cache', 'cache-storage', 'cachemanager', 'caching', 'decorator', 'decorators', 'memoization', 'memoize', 'mongodb', 'pickle']
['cache', 'cache-storage', 'cachemanager', 'caching', 'decorator', 'decorators', 'memoization', 'memoize', 'mongodb', 'pickle']
2023-12-13
[('dgilland/cacheout', 0.7924980521202087, 'perf', 2), ('grantjenks/python-diskcache', 0.6893970966339111, 'util', 1), ('joblib/joblib', 0.6731811165809631, 'util', 2), ('pythonspeed/filprofiler', 0.605586588382721, 'profiling', 0), ('erotemic/ubelt', 0.5962907671928406, 'util', 0), ('pympler/pympler', 0.5893210768699646, 'perf', 0), ('pytoolz/toolz', 0.5554683208465576, 'util', 0), ('aio-libs/aiocache', 0.5451957583427429, 'data', 2), ('spotify/annoy', 0.5307378768920898, 'ml', 0), ('python-trio/trio', 0.528437077999115, 'perf', 0), ('pytables/pytables', 0.5254138112068176, 'data', 0), ('fastai/fastcore', 0.5200280547142029, 'util', 0), ('reloadware/reloadium', 0.5175240635871887, 'profiling', 0), ('klen/py-frameworks-bench', 0.5169395208358765, 'perf', 0), ('sumerc/yappi', 0.5168151259422302, 'profiling', 0), ('zilliztech/gptcache', 0.5158444046974182, 'llm', 0), ('collerek/ormar', 0.5154281258583069, 'data', 0), ('ibis-project/ibis', 0.5115165710449219, 'data', 0), ('sqlalchemy/sqlalchemy', 0.5100117921829224, 'data', 0), ('tiangolo/sqlmodel', 0.5081299543380737, 'data', 0), ('locustio/locust', 0.5075251460075378, 'testing', 0), ('long2ice/fastapi-cache', 0.5056164860725403, 'web', 1), ('pypa/hatch', 0.502075731754303, 'util', 0)]
16
5
null
0.63
12
7
90
1
7
8
7
12
40
90
3.3
35
1,517
llm
https://github.com/squeezeailab/squeezellm
[]
null
[]
[]
null
null
null
squeezeailab/squeezellm
SqueezeLLM
474
33
15
Python
https://arxiv.org/abs/2306.07629v2
SqueezeLLM: Dense-and-Sparse Quantization
squeezeailab
2024-01-11
2023-06-12
33
14.301724
https://avatars.githubusercontent.com/u/92235103?v=4
SqueezeLLM: Dense-and-Sparse Quantization
['efficient-inference', 'large-language-models', 'llama', 'llm', 'localllm', 'model-compression', 'natural-language-processing', 'post-training-quantization', 'quantization', 'small-models', 'text-generation', 'transformer']
['efficient-inference', 'large-language-models', 'llama', 'llm', 'localllm', 'model-compression', 'natural-language-processing', 'post-training-quantization', 'quantization', 'small-models', 'text-generation', 'transformer']
2024-01-05
[('opengvlab/omniquant', 0.6535307168960571, 'llm', 3), ('artidoro/qlora', 0.6456478834152222, 'llm', 0), ('timdettmers/bitsandbytes', 0.6107233166694641, 'util', 0), ('huggingface/text-generation-inference', 0.6000766158103943, 'llm', 1), ('bobazooba/xllm', 0.596723735332489, 'llm', 3), ('neuralmagic/deepsparse', 0.5691953301429749, 'nlp', 1), ('sjtu-ipads/powerinfer', 0.5623429417610168, 'llm', 3), ('vllm-project/vllm', 0.5539712309837341, 'llm', 3), ('huggingface/transformers', 0.5502358078956604, 'nlp', 2), ('young-geng/easylm', 0.5474568605422974, 'llm', 4), ('bigscience-workshop/petals', 0.5468687415122986, 'data', 3), ('huawei-noah/pretrained-language-model', 0.5468460917472839, 'nlp', 2), ('ray-project/ray-llm', 0.5445480942726135, 'llm', 2), ('infinitylogesh/mutate', 0.5389288067817688, 'nlp', 1), ('explosion/spacy-llm', 0.5361400246620178, 'llm', 4), ('hpcaitech/energonai', 0.5279243588447571, 'ml', 0), ('salesforce/xgen', 0.5263859629631042, 'llm', 2), ('titanml/takeoff', 0.5222111940383911, 'llm', 3), ('lianjiatech/belle', 0.5215714573860168, 'llm', 1), ('optimalscale/lmflow', 0.5209859609603882, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5054431557655334, 'llm', 2), ('cg123/mergekit', 0.504544734954834, 'llm', 2), ('google-research/electra', 0.5039941072463989, 'ml-dl', 0)]
6
1
null
0.75
13
9
7
0
0
0
0
14
4
90
0.3
35
1,083
gis
https://github.com/laspy/laspy
[]
null
[]
[]
null
null
null
laspy/laspy
laspy
416
114
33
Python
https://laspy.readthedocs.io/en/latest/
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
laspy
2024-01-10
2012-05-16
610
0.68101
https://avatars.githubusercontent.com/u/24229635?v=4
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
['copc', 'las', 'laz', 'lidar', 'point-cloud', 'pointcloud']
['copc', 'las', 'laz', 'lidar', 'point-cloud', 'pointcloud']
2024-01-04
[]
49
6
null
0.77
13
13
142
0
6
3
6
12
24
90
2
35
1,832
data
https://github.com/koaning/embetter
['data-quality', 'sklearn', 'training-data', 'bulk-labelling']
null
[]
[]
null
null
null
koaning/embetter
embetter
381
12
7
Python
https://koaning.github.io/embetter/
just a bunch of useful embeddings
koaning
2024-01-04
2021-10-31
117
3.248477
null
just a bunch of useful embeddings
[]
['bulk-labelling', 'data-quality', 'sklearn', 'training-data']
2023-10-31
[('qdrant/fastembed', 0.6213396787643433, 'ml', 0), ('koaning/bulk', 0.6180914044380188, 'data', 3), ('cvxgrp/pymde', 0.6085571646690369, 'ml', 0), ('koaning/whatlies', 0.6023291945457458, 'nlp', 0), ('milvus-io/bootcamp', 0.6010968089103699, 'data', 0), ('jina-ai/vectordb', 0.5935912728309631, 'data', 0), ('nomic-ai/nomic', 0.5922350287437439, 'nlp', 0), ('facebookresearch/pytorch-biggraph', 0.5848337411880493, 'ml-dl', 0), ('chroma-core/chroma', 0.5779300332069397, 'data', 0), ('neuml/txtai', 0.538155198097229, 'nlp', 0), ('jina-ai/clip-as-service', 0.5349407196044922, 'nlp', 0), ('sebischair/lbl2vec', 0.5337308645248413, 'nlp', 0), ('plasticityai/magnitude', 0.5330700278282166, 'nlp', 0), ('infinitylogesh/mutate', 0.5295093059539795, 'nlp', 0), ('jina-ai/finetuner', 0.526446521282196, 'ml', 0), ('cleanlab/cleanlab', 0.5257184505462646, 'ml', 1), ('awslabs/dgl-ke', 0.5223193764686584, 'ml', 0), ('huggingface/datasets', 0.5214577317237854, 'nlp', 0), ('eleutherai/the-pile', 0.5203182101249695, 'data', 1), ('activeloopai/deeplake', 0.5196226239204407, 'ml-ops', 0), ('flairnlp/flair', 0.5184030532836914, 'nlp', 0), ('huggingface/text-embeddings-inference', 0.5125843286514282, 'llm', 0), ('llmware-ai/llmware', 0.5121687650680542, 'llm', 0), ('hazyresearch/meerkat', 0.5117366313934326, 'viz', 0), ('bigscience-workshop/biomedical', 0.5097063183784485, 'data', 0), ('xl0/lovely-tensors', 0.5069031119346619, 'ml-dl', 0), ('nvidia/deeplearningexamples', 0.5039408206939697, 'ml-dl', 0)]
8
6
null
2.62
7
5
27
2
13
9
13
7
6
90
0.9
35
1,030
finance
https://github.com/gerrymanoim/exchange_calendars
[]
null
[]
[]
null
null
null
gerrymanoim/exchange_calendars
exchange_calendars
352
115
15
Python
null
Calendars for various securities exchanges.
gerrymanoim
2024-01-12
2020-10-30
169
2.075821
null
Calendars for various securities exchanges.
[]
[]
2024-01-13
[('rsheftel/pandas_market_calendars', 0.6709998846054077, 'finance', 0)]
98
2
null
1.08
16
14
39
0
7
21
7
16
18
90
1.1
35
1,218
ml
https://github.com/googleapis/python-speech
[]
null
[]
[]
null
null
null
googleapis/python-speech
python-speech
352
261
54
null
null
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-speech
googleapis
2024-01-04
2019-12-10
216
1.62963
https://avatars.githubusercontent.com/u/16785467?v=4
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-speech
[]
[]
2023-10-31
[('dialogflow/dialogflow-python-client-v2', 0.743192732334137, 'nlp', 0), ('pndurette/gtts', 0.7090864181518555, 'util', 0), ('uberi/speech_recognition', 0.6549380421638489, 'ml', 0), ('googleapis/google-api-python-client', 0.5471388101577759, 'util', 0), ('dsdanielpark/bard-api', 0.5438737273216248, 'llm', 0), ('nateshmbhat/pyttsx3', 0.5236392617225647, 'util', 0), ('spotify/pedalboard', 0.5077892541885376, 'util', 0)]
64
7
null
0.87
8
8
50
2
10
17
10
8
11
90
1.4
35
1,748
data
https://github.com/drivendataorg/cloudpathlib
[]
null
[]
[]
null
null
null
drivendataorg/cloudpathlib
cloudpathlib
351
43
7
Python
https://cloudpathlib.drivendata.org
Python pathlib-style classes for cloud storage services such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.
drivendataorg
2024-01-05
2020-07-27
183
1.916537
https://avatars.githubusercontent.com/u/9515608?v=4
Python pathlib-style classes for cloud storage services such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.
['azure-blob', 'cloud-storage', 'google-cloud-storage', 'pathlib', 's3']
['azure-blob', 'cloud-storage', 'google-cloud-storage', 'pathlib', 's3']
2023-12-29
[('boto/boto3', 0.5708515644073486, 'util', 0), ('pyfilesystem/pyfilesystem2', 0.5201523900032043, 'util', 0), ('fsspec/filesystem_spec', 0.5109065175056458, 'util', 0)]
12
3
null
0.58
28
16
42
0
6
8
6
28
71
90
2.5
35
876
time-series
https://github.com/pastas/pastas
[]
null
[]
[]
null
null
null
pastas/pastas
pastas
335
69
16
Python
https://pastas.readthedocs.io
:spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.
pastas
2024-01-09
2016-04-15
406
0.823963
https://avatars.githubusercontent.com/u/18461359?v=4
🍝 Pastas is an open-source Python framework for the analysis of groundwater time series.
['analysis', 'groundwater', 'hydrology', 'pastas', 'timeseries']
['analysis', 'groundwater', 'hydrology', 'pastas', 'timeseries']
2023-11-30
[('firmai/atspy', 0.5670745372772217, 'time-series', 0), ('rjt1990/pyflux', 0.5493255257606506, 'time-series', 0), ('alkaline-ml/pmdarima', 0.518909215927124, 'time-series', 0), ('google/temporian', 0.5104494094848633, 'time-series', 0), ('dateutil/dateutil', 0.502344012260437, 'util', 0)]
17
8
null
3.04
63
32
94
1
7
4
7
63
67
90
1.1
35
1,586
llm
https://github.com/princeton-nlp/alce
['citations']
null
[]
[]
null
null
null
princeton-nlp/alce
ALCE
332
21
8
Python
null
[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
princeton-nlp
2024-01-12
2023-05-23
36
9.222222
https://avatars.githubusercontent.com/u/44678448?v=4
[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
[]
['citations']
2023-12-10
[('huggingface/text-generation-inference', 0.6029461622238159, 'llm', 0), ('paperswithcode/galai', 0.6015400290489197, 'llm', 1), ('whitead/paper-qa', 0.5843133330345154, 'llm', 0), ('yueyu1030/attrprompt', 0.5694684982299805, 'llm', 0), ('infinitylogesh/mutate', 0.5599058866500854, 'nlp', 0), ('ai21labs/lm-evaluation', 0.5408934950828552, 'llm', 0), ('lianjiatech/belle', 0.5311445593833923, 'llm', 0), ('hannibal046/awesome-llm', 0.5235013365745544, 'study', 0), ('togethercomputer/redpajama-data', 0.5159098505973816, 'llm', 0), ('explosion/spacy-llm', 0.5158350467681885, 'llm', 0), ('cg123/mergekit', 0.5112486481666565, 'llm', 0), ('salesforce/xgen', 0.5106900930404663, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5002155900001526, 'llm', 0), ('neuml/txtai', 0.5001633763313293, 'nlp', 0)]
6
3
null
0.48
4
3
8
1
0
0
0
4
6
90
1.5
35
1,530
ml-ops
https://github.com/zenml-io/mlstacks
['mlops', 'terraform']
null
[]
[]
null
null
null
zenml-io/mlstacks
mlstacks
228
23
5
HCL
https://mlstacks.zenml.io/
A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
zenml-io
2024-01-13
2022-06-29
82
2.751724
https://avatars.githubusercontent.com/u/88676955?v=4
A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
['infrastructure-as-code', 'ml', 'mlops']
['infrastructure-as-code', 'ml', 'mlops', 'terraform']
2023-12-22
[('netflix/metaflow', 0.5789435505867004, 'ml-ops', 2), ('fmind/mlops-python-package', 0.5667558312416077, 'template', 2), ('localstack/localstack', 0.5585765838623047, 'util', 0), ('skypilot-org/skypilot', 0.5491843819618225, 'llm', 0), ('zenml-io/zenml', 0.5486688613891602, 'ml-ops', 2), ('orchest/orchest', 0.5279688239097595, 'ml-ops', 0), ('bodywork-ml/bodywork-core', 0.5243047475814819, 'ml-ops', 1), ('unionai-oss/unionml', 0.5240914225578308, 'ml-ops', 1), ('jina-ai/jina', 0.514028012752533, 'ml', 1), ('polyaxon/polyaxon', 0.5073304176330566, 'ml-ops', 2), ('mingrammer/diagrams', 0.5006417036056519, 'util', 0)]
12
4
null
2.44
29
23
19
1
16
14
16
29
33
90
1.1
35
1,538
llm
https://github.com/openlmlab/leval
['evaluation', 'language-model']
null
[]
[]
null
null
null
openlmlab/leval
LEval
228
8
4
Python
null
Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
openlmlab
2024-01-13
2023-07-12
28
7.90099
https://avatars.githubusercontent.com/u/127190579?v=4
Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
[]
['evaluation', 'language-model']
2023-12-20
[('ai21labs/lm-evaluation', 0.7304577231407166, 'llm', 1), ('openai/evals', 0.6452102661132812, 'llm', 2), ('freedomintelligence/llmzoo', 0.6185758113861084, 'llm', 1), ('eleutherai/lm-evaluation-harness', 0.6121481657028198, 'llm', 2), ('juncongmoo/pyllama', 0.5909538269042969, 'llm', 0), ('cstankonrad/long_llama', 0.5901378989219666, 'llm', 1), ('lm-sys/fastchat', 0.5838186740875244, 'llm', 2), ('openbmb/toolbench', 0.5642274022102356, 'llm', 1), ('hannibal046/awesome-llm', 0.540010392665863, 'study', 1), ('fasteval/fasteval', 0.5392605662345886, 'llm', 1), ('anthropics/evals', 0.5348479747772217, 'llm', 0), ('jonasgeiping/cramming', 0.5251019597053528, 'nlp', 1), ('ctlllll/llm-toolmaker', 0.5215489864349365, 'llm', 1), ('lianjiatech/belle', 0.518318772315979, 'llm', 0), ('huggingface/evaluate', 0.5112590193748474, 'ml', 1), ('salesforce/xgen', 0.5019434690475464, 'llm', 1), ('ai21labs/in-context-ralm', 0.5012268424034119, 'llm', 1)]
9
3
null
2.5
4
4
6
1
0
0
0
4
8
90
2
35
1,697
util
https://github.com/mkdocstrings/python
[]
null
[]
[]
null
null
null
mkdocstrings/python
python
130
54
4
Python
https://mkdocstrings.github.io/python
A Python handler for mkdocstrings.
mkdocstrings
2024-01-10
2021-10-30
117
1.107056
https://avatars.githubusercontent.com/u/75664361?v=4
A Python handler for mkdocstrings.
['autodoc', 'documentation', 'mkdocs', 'mkdocstrings', 'mkdocstrings-handler', 'python-documentation']
['autodoc', 'documentation', 'mkdocs', 'mkdocstrings', 'mkdocstrings-handler', 'python-documentation']
2024-01-09
[('mkdocstrings/mkdocstrings', 0.6996007561683655, 'util', 3), ('danielnoord/pydocstringformatter', 0.563347578048706, 'util', 0), ('pdoc3/pdoc', 0.5424914360046387, 'util', 1), ('mkdocstrings/griffe', 0.5423215627670288, 'util', 0), ('hhatto/autopep8', 0.5049331784248352, 'util', 0), ('mitmproxy/pdoc', 0.5048332214355469, 'util', 1), ('pycqa/docformatter', 0.503516674041748, 'util', 0)]
14
5
null
2.38
13
8
27
0
18
22
18
13
41
90
3.2
35
1,787
llm
https://github.com/citadel-ai/langcheck
['evaluation', 'language-model']
null
[]
[]
null
null
null
citadel-ai/langcheck
langcheck
88
6
2
Python
https://langcheck.readthedocs.io/en/latest/index.html
Simple, Pythonic building blocks to evaluate LLM applications.
citadel-ai
2024-01-12
2023-10-10
16
5.5
https://avatars.githubusercontent.com/u/75781367?v=4
Simple, Pythonic building blocks to evaluate LLM applications.
[]
['evaluation', 'language-model']
2023-12-27
[('confident-ai/deepeval', 0.6523064374923706, 'testing', 2), ('openai/evals', 0.6390816569328308, 'llm', 2), ('deep-diver/pingpong', 0.6283354759216309, 'llm', 0), ('agenta-ai/agenta', 0.613926351070404, 'llm', 0), ('alpha-vllm/llama2-accessory', 0.5963909029960632, 'llm', 0), ('exaloop/codon', 0.5882013440132141, 'perf', 0), ('hwchase17/langchain', 0.5860381722450256, 'llm', 1), ('young-geng/easylm', 0.5656929612159729, 'llm', 1), ('pympler/pympler', 0.5642958283424377, 'perf', 0), ('eugeneyan/open-llms', 0.5613651275634766, 'study', 0), ('numba/llvmlite', 0.5582582950592041, 'util', 0), ('truera/trulens', 0.5569631457328796, 'llm', 1), ('tigerlab-ai/tiger', 0.5546644926071167, 'llm', 0), ('microsoft/promptflow', 0.5546442866325378, 'llm', 0), ('chainlit/chainlit', 0.5534338355064392, 'llm', 0), ('ibm/dromedary', 0.5524911880493164, 'llm', 1), ('langchain-ai/langsmith-cookbook', 0.5509293079376221, 'llm', 2), ('salesforce/codet5', 0.5499178171157837, 'nlp', 1), ('pathwaycom/llm-app', 0.5472109317779541, 'llm', 0), ('pmorissette/bt', 0.537364661693573, 'finance', 0), ('rlancemartin/auto-evaluator', 0.5368258357048035, 'llm', 1), ('nvidia/tensorrt-llm', 0.5307314395904541, 'viz', 1), ('microsoft/semantic-kernel', 0.5307271480560303, 'llm', 0), ('berriai/litellm', 0.5299030542373657, 'llm', 0), ('bentoml/openllm', 0.5283021926879883, 'ml-ops', 0), ('vllm-project/vllm', 0.5279338359832764, 'llm', 0), ('eth-sri/lmql', 0.5266656279563904, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5261443257331848, 'llm', 1), ('hiyouga/llama-factory', 0.5261441469192505, 'llm', 1), ('mooler0410/llmspracticalguide', 0.5259177088737488, 'study', 0), ('ray-project/ray-llm', 0.524300754070282, 'llm', 0), ('salesforce/xgen', 0.5217398405075073, 'llm', 1), ('pypa/hatch', 0.5197140574455261, 'util', 0), ('ai21labs/lm-evaluation', 0.518677294254303, 'llm', 1), ('nomic-ai/gpt4all', 0.5129213333129883, 'llm', 1), ('night-chen/toolqa', 0.5104190111160278, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5101147890090942, 'llm', 0), ('shishirpatil/gorilla', 0.5088066458702087, 'llm', 0), ('hegelai/prompttools', 0.5087067484855652, 'llm', 0), ('pomponchik/instld', 0.5082795023918152, 'util', 0), ('rubik/radon', 0.505801796913147, 'util', 0), ('deepset-ai/haystack', 0.5050056576728821, 'llm', 1), ('pytransitions/transitions', 0.5025991201400757, 'util', 0)]
7
1
null
11.92
58
47
3
1
3
12
3
58
105
90
1.8
35
597
testing
https://github.com/newsapps/beeswithmachineguns
[]
null
[]
[]
null
null
null
newsapps/beeswithmachineguns
beeswithmachineguns
6,372
670
224
Python
http://apps.chicagotribune.com/
A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).
newsapps
2024-01-12
2010-06-29
709
8.987306
https://avatars.githubusercontent.com/u/317822?v=4
A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).
[]
[]
2017-12-20
[('rhinosecuritylabs/pacu', 0.5492108464241028, 'security', 0)]
49
8
null
0
5
0
165
74
0
0
0
5
2
90
0.4
34
1,008
finance
https://github.com/gbeced/pyalgotrade
[]
null
[]
[]
null
null
null
gbeced/pyalgotrade
pyalgotrade
4,224
1,408
350
Python
http://gbeced.github.io/pyalgotrade/
Python Algorithmic Trading Library
gbeced
2024-01-13
2012-03-07
620
6.803497
null
Python Algorithmic Trading Library
[]
[]
2023-03-05
[('quantopian/zipline', 0.8662933707237244, 'finance', 0), ('robcarver17/pysystemtrade', 0.756932258605957, 'finance', 0), ('cuemacro/finmarketpy', 0.7125941514968872, 'finance', 0), ('quantconnect/lean', 0.7084618806838989, 'finance', 0), ('gbeced/basana', 0.7055126428604126, 'finance', 0), ('goldmansachs/gs-quant', 0.6751449108123779, 'finance', 0), ('mementum/backtrader', 0.6685662269592285, 'finance', 0), ('quantecon/quantecon.py', 0.6401932835578918, 'sim', 0), ('pmorissette/ffn', 0.628166913986206, 'finance', 0), ('ranaroussi/quantstats', 0.6159399747848511, 'finance', 0), ('ta-lib/ta-lib-python', 0.5967674851417542, 'finance', 0), ('primal100/pybitcointools', 0.5933455228805542, 'crypto', 0), ('probml/pyprobml', 0.5891293883323669, 'ml', 0), ('pytoolz/toolz', 0.5849488377571106, 'util', 0), ('sympy/sympy', 0.5751481652259827, 'math', 0), ('cuemacro/findatapy', 0.5724738836288452, 'finance', 0), ('ethereum/web3.py', 0.570094883441925, 'crypto', 0), ('domokane/financepy', 0.5683234333992004, 'finance', 0), ('mynameisfiber/high_performance_python_2e', 0.5649918913841248, 'study', 0), ('hydrosquall/tiingo-python', 0.5620060563087463, 'finance', 0), ('scipy/scipy', 0.5615862011909485, 'math', 0), ('quantopian/pyfolio', 0.5584282875061035, 'finance', 0), ('1200wd/bitcoinlib', 0.5566604733467102, 'crypto', 0), ('firmai/atspy', 0.5548366904258728, 'time-series', 0), ('kernc/backtesting.py', 0.5535092949867249, 'finance', 0), ('keon/algorithms', 0.5470435619354248, 'util', 0), ('eleutherai/pyfra', 0.5397642850875854, 'ml', 0), ('alkaline-ml/pmdarima', 0.5389692783355713, 'time-series', 0), ('ccxt/ccxt', 0.5324677228927612, 'crypto', 0), ('polakowo/vectorbt', 0.5312750935554504, 'finance', 0), ('fredrik-johansson/mpmath', 0.5237154364585876, 'math', 0), ('legrandin/pycryptodome', 0.5236385464668274, 'util', 0), ('wesm/pydata-book', 0.5229116082191467, 'study', 0), ('python/cpython', 0.520494818687439, 'util', 0), ('quantopian/alphalens', 0.5202894806861877, 'finance', 0), ('clips/pattern', 0.5164464712142944, 'nlp', 0), ('pycaret/pycaret', 0.5147980451583862, 'ml', 0), ('connorferster/handcalcs', 0.5120189189910889, 'jupyter', 0), ('pypy/pypy', 0.5119675397872925, 'util', 0), ('qdrant/qdrant-client', 0.5113593935966492, 'util', 0), ('google/tf-quant-finance', 0.5105053186416626, 'finance', 0), ('scikit-learn/scikit-learn', 0.5099478363990784, 'ml', 0), ('numerai/example-scripts', 0.5094029307365417, 'finance', 0), ('thealgorithms/python', 0.5092158317565918, 'study', 0), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5082697868347168, 'study', 0), ('pyston/pyston', 0.507022500038147, 'util', 0), ('google/latexify_py', 0.5051184296607971, 'util', 0), ('freqtrade/freqtrade', 0.5014805197715759, 'crypto', 0)]
11
2
null
0.04
2
2
144
10
0
2
2
2
2
90
1
34
794
data
https://github.com/pallets/itsdangerous
[]
null
[]
[]
null
null
null
pallets/itsdangerous
itsdangerous
2,781
222
56
Python
https://itsdangerous.palletsprojects.com
Safely pass trusted data to untrusted environments and back.
pallets
2024-01-12
2011-06-24
657
4.229198
https://avatars.githubusercontent.com/u/16748505?v=4
Safely pass trusted data to untrusted environments and back.
['hmac', 'itsdangerous', 'pallets', 'security', 'serialization']
['hmac', 'itsdangerous', 'pallets', 'security', 'serialization']
2023-09-06
[('snyk/faker-security', 0.5056630969047546, 'security', 0)]
42
5
null
0.62
6
2
153
4
0
2
2
6
1
90
0.2
34
114
nlp
https://github.com/huggingface/neuralcoref
[]
null
[]
[]
null
null
null
huggingface/neuralcoref
neuralcoref
2,775
476
99
C
https://huggingface.co/coref/
✨Fast Coreference Resolution in spaCy with Neural Networks
huggingface
2024-01-13
2017-07-03
343
8.087011
https://avatars.githubusercontent.com/u/25720743?v=4
✨Fast Coreference Resolution in spaCy with Neural Networks
['coreference', 'coreference-resolution', 'machine-learning', 'neural-networks', 'nlp', 'pytorch', 'spacy', 'spacy-extension', 'spacy-pipeline']
['coreference', 'coreference-resolution', 'machine-learning', 'neural-networks', 'nlp', 'pytorch', 'spacy', 'spacy-extension', 'spacy-pipeline']
2021-06-22
[('explosion/spacy-models', 0.6682751774787903, 'nlp', 3), ('explosion/spacy-stanza', 0.6504446864128113, 'nlp', 4), ('explosion/spacy-transformers', 0.6309342980384827, 'llm', 6), ('explosion/spacy-streamlit', 0.5396462082862854, 'nlp', 3), ('franck-dernoncourt/neuroner', 0.5318391919136047, 'nlp', 3), ('jina-ai/finetuner', 0.5169621706008911, 'ml', 0), ('google-research/electra', 0.5090615153312683, 'ml-dl', 1), ('neuralmagic/sparseml', 0.5070856213569641, 'ml-dl', 2), ('explosion/spacy', 0.5070719122886658, 'nlp', 4)]
21
5
null
0
5
1
80
31
0
1
1
5
4
90
0.8
34
1,470
web
https://github.com/fastapi-admin/fastapi-admin
[]
null
[]
[]
null
null
null
fastapi-admin/fastapi-admin
fastapi-admin
2,335
318
34
Python
https://fastapi-admin-docs.long2ice.io
A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin
fastapi-admin
2024-01-13
2020-04-06
199
11.725251
https://avatars.githubusercontent.com/u/83151292?v=4
A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin
['admin', 'admin-dashboard', 'dashboard', 'fastapi', 'fastapi-admin', 'tabler', 'tortoise-orm']
['admin', 'admin-dashboard', 'dashboard', 'fastapi', 'fastapi-admin', 'tabler', 'tortoise-orm']
2023-07-27
[('aminalaee/sqladmin', 0.6240462064743042, 'data', 3), ('piccolo-orm/piccolo_admin', 0.6113201975822449, 'data', 3), ('s3rius/fastapi-template', 0.6024838089942932, 'web', 2), ('rawheel/fastapi-boilerplate', 0.5968390107154846, 'web', 1), ('fastapi-users/fastapi-users', 0.5555592775344849, 'web', 1), ('vitalik/django-ninja', 0.5257643461227417, 'web', 0), ('wagtail/wagtail', 0.5146538019180298, 'web', 0), ('fastai/fastcore', 0.5095018148422241, 'util', 0), ('tiangolo/fastapi', 0.5084497928619385, 'web', 1), ('feincms/feincms', 0.5065550804138184, 'web', 0)]
13
1
null
0.25
4
1
46
6
0
4
4
4
1
90
0.2
34
25
util
https://github.com/google/gin-config
[]
null
[]
[]
null
null
null
google/gin-config
gin-config
1,946
120
23
Python
null
Gin provides a lightweight configuration framework for Python
google
2024-01-08
2018-06-27
291
6.667646
https://avatars.githubusercontent.com/u/1342004?v=4
Gin provides a lightweight configuration framework for Python
['configuration-management', 'tensorflow', 'tensorflow-experiments']
['configuration-management', 'tensorflow', 'tensorflow-experiments']
2023-10-04
[('omry/omegaconf', 0.5957804322242737, 'util', 0), ('arogozhnikov/einops', 0.5846500396728516, 'ml-dl', 1), ('micropython/micropython', 0.578527569770813, 'util', 0), ('nvidia/tensorrt-llm', 0.5778404474258423, 'viz', 0), ('eleutherai/pyfra', 0.5706988573074341, 'ml', 0), ('willmcgugan/textual', 0.5691657662391663, 'term', 0), ('google/tf-quant-finance', 0.5610681772232056, 'finance', 1), ('fastai/fastcore', 0.5576726198196411, 'util', 0), ('reloadware/reloadium', 0.5562544465065002, 'profiling', 0), ('pytoolz/toolz', 0.555968701839447, 'util', 0), ('facebookresearch/hydra', 0.5556942224502563, 'util', 0), ('pypy/pypy', 0.5548017621040344, 'util', 0), ('klen/py-frameworks-bench', 0.5510473847389221, 'perf', 0), ('ray-project/ray', 0.5417131185531616, 'ml-ops', 1), ('rafiqhasan/auto-tensorflow', 0.5411630868911743, 'ml-dl', 1), ('google/jax', 0.5384674668312073, 'ml', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5364246964454651, 'study', 0), ('pomponchik/instld', 0.5354675650596619, 'util', 0), ('beeware/toga', 0.5335937738418579, 'gui', 0), ('kubeflow/fairing', 0.5331827402114868, 'ml-ops', 0), ('ashleve/lightning-hydra-template', 0.5326757431030273, 'util', 0), ('pytorch/data', 0.5325197577476501, 'data', 0), ('hoffstadt/dearpygui', 0.5313805341720581, 'gui', 0), ('dosisod/refurb', 0.5311492085456848, 'util', 0), ('intel/intel-extension-for-pytorch', 0.5311468839645386, 'perf', 0), ('pypa/hatch', 0.5304906368255615, 'util', 0), ('pympler/pympler', 0.5286837816238403, 'perf', 0), ('nvidia/warp', 0.5256108641624451, 'sim', 0), ('numba/llvmlite', 0.5255877375602722, 'util', 0), ('gradio-app/gradio', 0.5216200351715088, 'viz', 0), ('determined-ai/determined', 0.520888090133667, 'ml-ops', 1), ('pyston/pyston', 0.5207974910736084, 'util', 0), ('tensorly/tensorly', 0.5206177830696106, 'ml-dl', 1), ('alphasecio/langchain-examples', 0.5197805762290955, 'llm', 0), ('cosmicpython/book', 0.5146122574806213, 'study', 0), ('backtick-se/cowait', 0.5143940448760986, 'util', 0), ('exaloop/codon', 0.5136995911598206, 'perf', 0), ('wandb/client', 0.5134484767913818, 'ml', 1), ('horovod/horovod', 0.5107054710388184, 'ml-ops', 1), ('tensorflow/addons', 0.5091912150382996, 'ml', 1), ('buildbot/buildbot', 0.5084891319274902, 'util', 0), ('ageron/handson-ml2', 0.5084095001220703, 'ml', 0), ('plasma-umass/scalene', 0.5083065032958984, 'profiling', 0), ('sumerc/yappi', 0.5081563591957092, 'profiling', 0), ('pytorch/pytorch', 0.5066419243812561, 'ml-dl', 0), ('eventual-inc/daft', 0.5050129890441895, 'pandas', 0), ('goldmansachs/gs-quant', 0.5047725439071655, 'finance', 0), ('pallets/flask', 0.5042587518692017, 'web', 0), ('google/vizier', 0.5030581951141357, 'ml', 0), ('pyinfra-dev/pyinfra', 0.5022099614143372, 'util', 1), ('klen/muffin', 0.5011733770370483, 'web', 0)]
24
2
null
0.1
2
1
68
3
0
0
0
2
3
90
1.5
34
1,005
finance
https://github.com/pmorissette/bt
[]
null
[]
[]
null
null
null
pmorissette/bt
bt
1,892
444
88
Python
http://pmorissette.github.io/bt
bt - flexible backtesting for Python
pmorissette
2024-01-12
2014-06-19
501
3.771071
null
bt - flexible backtesting for Python
[]
[]
2023-12-11
[('mementum/backtrader', 0.6390605568885803, 'finance', 0), ('wolever/parameterized', 0.620602011680603, 'testing', 0), ('ionelmc/pytest-benchmark', 0.6115341186523438, 'testing', 0), ('nedbat/coveragepy', 0.6093915700912476, 'testing', 0), ('spulec/freezegun', 0.5981432199478149, 'testing', 0), ('pytest-dev/pytest-bdd', 0.5979208946228027, 'testing', 0), ('cuemacro/finmarketpy', 0.5734877586364746, 'finance', 0), ('locustio/locust', 0.5575364828109741, 'testing', 0), ('klen/py-frameworks-bench', 0.5551998615264893, 'perf', 0), ('citadel-ai/langcheck', 0.537364661693573, 'llm', 0), ('pypy/pypy', 0.5179216861724854, 'util', 0), ('getsentry/responses', 0.5153909921646118, 'testing', 0), ('samuelcolvin/dirty-equals', 0.5151998996734619, 'util', 0), ('taverntesting/tavern', 0.5144594311714172, 'testing', 0), ('pytest-dev/pytest', 0.5103425979614258, 'testing', 0), ('pyeve/cerberus', 0.507025420665741, 'data', 0)]
31
2
null
0.29
21
16
117
1
1
1
1
21
14
90
0.7
34
310
util
https://github.com/linkedin/shiv
[]
null
[]
[]
null
null
null
linkedin/shiv
shiv
1,662
94
28
Python
null
shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.
linkedin
2024-01-13
2018-03-13
307
5.413681
https://avatars.githubusercontent.com/u/357098?v=4
shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.
[]
[]
2023-09-07
[('ofek/pyapp', 0.5412315130233765, 'util', 0), ('indygreg/pyoxidizer', 0.5276411175727844, 'util', 0), ('erotemic/ubelt', 0.5263099670410156, 'util', 0), ('pyodide/micropip', 0.5121049284934998, 'util', 0), ('pypa/pipenv', 0.5103631615638733, 'util', 0), ('beeware/briefcase', 0.5067877173423767, 'util', 0), ('quantopian/zipline', 0.5038162469863892, 'finance', 0), ('pdm-project/pdm', 0.5008074641227722, 'util', 0), ('pypy/pypy', 0.5005409717559814, 'util', 0)]
39
6
null
0.04
8
0
71
4
1
3
1
8
3
90
0.4
34
759
diffusion
https://github.com/divamgupta/stable-diffusion-tensorflow
[]
null
[]
[]
null
null
null
divamgupta/stable-diffusion-tensorflow
stable-diffusion-tensorflow
1,546
225
24
Python
null
Stable Diffusion in TensorFlow / Keras
divamgupta
2024-01-13
2022-09-15
71
21.557769
null
Stable Diffusion in TensorFlow / Keras
[]
[]
2022-11-22
[('bentoml/onediffusion', 0.6373262405395508, 'diffusion', 0), ('carson-katri/dream-textures', 0.6051181554794312, 'diffusion', 0), ('tanelp/tiny-diffusion', 0.6014887690544128, 'diffusion', 0), ('lllyasviel/controlnet', 0.5530334115028381, 'diffusion', 0), ('stability-ai/stability-sdk', 0.5413241386413574, 'diffusion', 0), ('openai/improved-diffusion', 0.5380927324295044, 'diffusion', 0), ('comfyanonymous/comfyui', 0.5308429002761841, 'diffusion', 0), ('huggingface/diffusers', 0.5232102274894714, 'diffusion', 0), ('apple/ml-stable-diffusion', 0.5180650949478149, 'diffusion', 0), ('tensorflow/mesh', 0.5049545168876648, 'ml-dl', 0)]
13
2
null
0
3
0
16
14
0
0
0
3
1
90
0.3
34
1,742
util
https://github.com/facebookincubator/bowler
['refactoring']
null
[]
[]
null
null
null
facebookincubator/bowler
Bowler
1,497
93
36
Python
https://pybowler.io/
Safe code refactoring for modern Python.
facebookincubator
2024-01-13
2018-06-07
294
5.079496
https://avatars.githubusercontent.com/u/19538647?v=4
Safe code refactoring for modern Python.
[]
['refactoring']
2023-01-20
[('python-rope/rope', 0.7546546459197998, 'util', 1), ('dosisod/refurb', 0.5965598225593567, 'util', 0), ('jendrikseipp/vulture', 0.5705008506774902, 'util', 0), ('pyupio/safety', 0.5631865859031677, 'security', 0), ('asottile/reorder-python-imports', 0.5548760890960693, 'util', 1), ('grahamdumpleton/wrapt', 0.5219171047210693, 'util', 0), ('hhatto/autopep8', 0.5189270973205566, 'util', 0), ('landscapeio/prospector', 0.5116630792617798, 'util', 0), ('facebook/pyre-check', 0.5039924383163452, 'typing', 0), ('rubik/radon', 0.5027236938476562, 'util', 0)]
27
6
null
0
1
0
68
12
0
1
1
1
2
90
2
34
1,113
web
https://github.com/pylons/waitress
[]
null
[]
[]
null
null
null
pylons/waitress
waitress
1,337
166
37
Python
https://docs.pylonsproject.org/projects/waitress/en/latest/
Waitress - A WSGI server for Python 3
pylons
2024-01-12
2011-12-17
632
2.114073
https://avatars.githubusercontent.com/u/452227?v=4
Waitress - A WSGI server for Python 3
['http-server', 'wsgi-server']
['http-server', 'wsgi-server']
2024-01-10
[('encode/uvicorn', 0.6356403827667236, 'web', 1), ('benoitc/gunicorn', 0.6345184445381165, 'web', 2), ('pallets/werkzeug', 0.6237661838531494, 'web', 0), ('encode/httpx', 0.594509482383728, 'web', 0), ('bottlepy/bottle', 0.5867997407913208, 'web', 0), ('pallets/quart', 0.5782569050788879, 'web', 1), ('pallets/flask', 0.5715507864952087, 'web', 0), ('neoteroi/blacksheep', 0.5685455799102783, 'web', 1), ('falconry/falcon', 0.5612348318099976, 'web', 0), ('pylons/webob', 0.5591251254081726, 'web', 0), ('cherrypy/cherrypy', 0.5498244762420654, 'web', 1), ('pylons/pyramid', 0.5299732089042664, 'web', 0), ('aio-libs/aiohttp', 0.5173540711402893, 'web', 1), ('requests/toolbelt', 0.5072819590568542, 'util', 0), ('aws/chalice', 0.5070593953132629, 'web', 0), ('klen/muffin', 0.5056185126304626, 'web', 0), ('masoniteframework/masonite', 0.5041007399559021, 'web', 0)]
51
6
null
0.15
10
2
147
0
0
4
4
10
2
90
0.2
34
1,265
llm
https://github.com/run-llama/llama-lab
['llama-index', 'llama', 'language-model']
Llama Lab is a repo dedicated to building cutting-edge projects using LlamaIndex
[]
[]
null
null
null
run-llama/llama-lab
llama-lab
1,149
150
16
Python
null
null
run-llama
2024-01-14
2023-04-14
41
27.639175
https://avatars.githubusercontent.com/u/130722866?v=4
Llama Lab is a repo dedicated to building cutting-edge projects using LlamaIndex
[]
['language-model', 'llama', 'llama-index']
2023-05-30
[('facebookresearch/llama-recipes', 0.7252361178398132, 'llm', 2), ('microsoft/llama-2-onnx', 0.7098461985588074, 'llm', 2), ('jerryjliu/llama_index', 0.6514791250228882, 'llm', 3), ('tloen/alpaca-lora', 0.6453814506530762, 'llm', 2), ('jzhang38/tinyllama', 0.6213663816452026, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.6018344759941101, 'llm', 0), ('zrrskywalker/llama-adapter', 0.5806187391281128, 'llm', 2), ('run-llama/llama-hub', 0.5685200095176697, 'data', 0), ('facebookresearch/llama', 0.562117874622345, 'llm', 2), ('abetlen/llama-cpp-python', 0.5617009401321411, 'llm', 2), ('lightning-ai/lit-llama', 0.550618588924408, 'llm', 2), ('ggerganov/llama.cpp', 0.545893132686615, 'llm', 2), ('young-geng/easylm', 0.5406877398490906, 'llm', 2), ('oobabooga/text-generation-webui', 0.5403240919113159, 'llm', 1), ('agenta-ai/agenta', 0.5381309986114502, 'llm', 1), ('bentoml/openllm', 0.5358179211616516, 'ml-ops', 1), ('ajndkr/lanarky', 0.5272144079208374, 'llm', 0), ('karpathy/llama2.c', 0.5159832835197449, 'llm', 2), ('hwchase17/langchain', 0.5104470252990723, 'llm', 1), ('tairov/llama2.mojo', 0.5075839757919312, 'llm', 1), ('eugeneyan/open-llms', 0.5069587826728821, 'study', 0), ('openlm-research/open_llama', 0.5049968957901001, 'llm', 2), ('alpha-vllm/llama2-accessory', 0.5041949152946472, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5041861534118652, 'llm', 1), ('salesforce/codet5', 0.5031118392944336, 'nlp', 1)]
4
2
null
0.6
2
0
9
8
0
0
0
2
0
90
0
34
674
util
https://github.com/lukasschwab/arxiv.py
[]
null
[]
[]
null
null
null
lukasschwab/arxiv.py
arxiv.py
887
107
16
Python
null
Python wrapper for the arXiv API
lukasschwab
2024-01-13
2015-11-25
426
2.077979
null
Python wrapper for the arXiv API
['arxiv', 'arxiv-api', 'pdf', 'python-wrapper']
['arxiv', 'arxiv-api', 'pdf', 'python-wrapper']
2023-10-25
[('man-c/pycoingecko', 0.5484018921852112, 'crypto', 0), ('pyfpdf/fpdf2', 0.5308734774589539, 'util', 1), ('arxiv-vanity/arxiv-vanity', 0.5270992517471313, 'nlp', 1), ('mattbierbaum/arxiv-public-datasets', 0.5195563435554504, 'data', 0), ('requests/toolbelt', 0.5077224969863892, 'util', 0), ('indygreg/pyoxidizer', 0.5008288621902466, 'util', 0)]
14
5
null
0.52
28
27
99
3
8
4
8
28
22
90
0.8
34
359
ml-ops
https://github.com/tensorflow/data-validation
[]
null
[]
[]
null
null
null
tensorflow/data-validation
data-validation
739
162
48
Python
null
Library for exploring and validating machine learning data
tensorflow
2024-01-09
2018-07-02
291
2.538273
https://avatars.githubusercontent.com/u/15658638?v=4
Library for exploring and validating machine learning data
[]
[]
2024-01-08
[('huggingface/evaluate', 0.7562239170074463, 'ml', 0), ('teamhg-memex/eli5', 0.6825962066650391, 'ml', 0), ('rasbt/mlxtend', 0.6768656373023987, 'ml', 0), ('firmai/industry-machine-learning', 0.6276463866233826, 'study', 0), ('districtdatalabs/yellowbrick', 0.6272578239440918, 'ml', 0), ('pyeve/cerberus', 0.6110429167747498, 'data', 0), ('patchy631/machine-learning', 0.6105336546897888, 'ml', 0), ('scikit-learn/scikit-learn', 0.5854442715644836, 'ml', 0), ('pycaret/pycaret', 0.584001898765564, 'ml', 0), ('jovianml/opendatasets', 0.5710594654083252, 'data', 0), ('scikit-learn-contrib/imbalanced-learn', 0.5666349530220032, 'ml', 0), ('marcotcr/lime', 0.5638388395309448, 'ml-interpretability', 0), ('mlflow/mlflow', 0.56364506483078, 'ml-ops', 0), ('seldonio/alibi', 0.5581661462783813, 'ml-interpretability', 0), ('csinva/imodels', 0.5509118437767029, 'ml', 0), ('rasbt/machine-learning-book', 0.5481884479522705, 'study', 0), ('pair-code/lit', 0.5432097315788269, 'ml-interpretability', 0), ('featurelabs/featuretools', 0.5417819023132324, 'ml', 0), ('gradio-app/gradio', 0.5404645204544067, 'viz', 0), ('unionai-oss/pandera', 0.5394289493560791, 'pandas', 0), ('eugeneyan/testing-ml', 0.5382910966873169, 'testing', 0), ('tensorflow/tensor2tensor', 0.5354011654853821, 'ml', 0), ('tensorflow/tensorflow', 0.5338260531425476, 'ml-dl', 0), ('selfexplainml/piml-toolbox', 0.5335401892662048, 'ml-interpretability', 0), ('ggerganov/ggml', 0.525627076625824, 'ml', 0), ('microsoft/flaml', 0.5238473415374756, 'ml', 0), ('oml-team/open-metric-learning', 0.5238116979598999, 'ml', 0), ('carla-recourse/carla', 0.5232628583908081, 'ml', 0), ('tensorflow/lucid', 0.5206327438354492, 'ml-interpretability', 0), ('polyaxon/datatile', 0.5198504328727722, 'pandas', 0), ('hazyresearch/meerkat', 0.5165846943855286, 'viz', 0), ('pytorch/ignite', 0.5164223313331604, 'ml-dl', 0), ('deepchecks/deepchecks', 0.512187123298645, 'data', 0), ('dask/dask-ml', 0.5110467076301575, 'ml', 0), ('scikit-learn-contrib/metric-learn', 0.5105538368225098, 'ml', 0), ('huggingface/datasets', 0.5105088353157043, 'nlp', 0), ('catboost/catboost', 0.5083582997322083, 'ml', 0), ('paperswithcode/axcell', 0.5049012899398804, 'util', 0), ('maif/shapash', 0.5037372708320618, 'ml', 0), ('automl/auto-sklearn', 0.5028933882713318, 'ml', 0), ('lightly-ai/lightly', 0.5010249018669128, 'ml', 0)]
26
2
null
1.48
12
5
67
0
2
8
2
12
15
90
1.2
34
590
gis
https://github.com/uber/h3-py
[]
null
[]
[]
null
null
null
uber/h3-py
h3-py
718
127
32
Python
https://uber.github.io/h3-py
Python bindings for H3, a hierarchical hexagonal geospatial indexing system
uber
2024-01-13
2018-06-12
294
2.442177
https://avatars.githubusercontent.com/u/538264?v=4
Python bindings for H3, a hierarchical hexagonal geospatial indexing system
['geocoding', 'geospatial', 'gis', 'h3', 'hexagonal-architecture', 'uber']
['geocoding', 'geospatial', 'gis', 'h3', 'hexagonal-architecture', 'uber']
2024-01-01
[('toblerity/rtree', 0.6043885350227356, 'gis', 0), ('opengeos/leafmap', 0.5105132460594177, 'gis', 2), ('residentmario/geoplot', 0.500649094581604, 'gis', 0)]
16
5
null
0.12
19
6
68
0
0
4
4
19
14
90
0.7
34
47
data
https://github.com/macbre/sql-metadata
[]
null
[]
[]
1
null
null
macbre/sql-metadata
sql-metadata
668
111
15
Python
https://pypi.python.org/pypi/sql-metadata
Uses tokenized query returned by python-sqlparse and generates query metadata
macbre
2024-01-13
2017-06-06
347
1.925072
null
Uses tokenized query returned by python-sqlparse and generates query metadata
['database', 'hive', 'hiveql', 'metadata', 'mysql-query', 'parser', 'python-package', 'python3-library', 'sql', 'sql-parser', 'sqlparse']
['database', 'hive', 'hiveql', 'metadata', 'mysql-query', 'parser', 'python-package', 'python3-library', 'sql', 'sql-parser', 'sqlparse']
2024-01-04
[('tobymao/sqlglot', 0.6693900227546692, 'data', 3), ('ibis-project/ibis', 0.6164320707321167, 'data', 2), ('tiangolo/sqlmodel', 0.6107516288757324, 'data', 1), ('andialbrecht/sqlparse', 0.5947306156158447, 'data', 0), ('kayak/pypika', 0.5715281367301941, 'data', 1), ('sqlalchemy/sqlalchemy', 0.5708635449409485, 'data', 1), ('malloydata/malloy-py', 0.5103316307067871, 'data', 1), ('python-odin/odin', 0.5047857761383057, 'util', 0)]
20
5
null
1.21
27
19
80
0
4
5
4
27
13
90
0.5
34
412
util
https://github.com/bastibe/python-soundfile
[]
null
[]
[]
null
null
null
bastibe/python-soundfile
python-soundfile
628
135
17
Python
null
SoundFile is an audio library based on libsndfile, CFFI, and NumPy
bastibe
2024-01-12
2013-08-27
544
1.154412
null
SoundFile is an audio library based on libsndfile, CFFI, and NumPy
[]
[]
2024-01-05
[('spotify/pedalboard', 0.7314440608024597, 'util', 0), ('irmen/pyminiaudio', 0.6631749868392944, 'util', 0), ('libaudioflux/audioflux', 0.6440500617027283, 'util', 0), ('taylorsmarks/playsound', 0.6413252949714661, 'util', 0), ('uberi/speech_recognition', 0.575599730014801, 'ml', 0), ('quodlibet/mutagen', 0.5448225736618042, 'util', 0), ('nateshmbhat/pyttsx3', 0.5068590044975281, 'util', 0), ('speechbrain/speechbrain', 0.5037903189659119, 'nlp', 0), ('facebookresearch/audiocraft', 0.5025203227996826, 'util', 0)]
33
4
null
0.5
23
11
126
0
2
2
2
23
44
90
1.9
34
1,729
util
https://github.com/akaihola/darker
['code-quality']
null
[]
[]
null
null
null
akaihola/darker
darker
600
50
10
Python
https://pypi.org/project/darker/
Apply black reformatting to Python files only in regions changed since a given commit. For a practical usage example, see the blog post at https://dev.to/akaihola/improving-python-code-incrementally-3f7a
akaihola
2024-01-13
2020-02-16
206
2.908587
null
Apply black reformatting to Python files only in regions changed since a given commit. For a practical usage example, see the blog post at https://dev.to/akaihola/improving-python-code-incrementally-3f7a
[]
['code-quality']
2023-08-05
[]
28
7
null
1.23
7
0
48
5
3
6
3
7
9
90
1.3
34
1,788
math
https://github.com/dfki-ric/pytransform3d
[]
null
[]
[]
null
null
null
dfki-ric/pytransform3d
pytransform3d
536
63
10
Python
https://dfki-ric.github.io/pytransform3d/
3D transformations for Python.
dfki-ric
2024-01-12
2017-05-19
349
1.533306
https://avatars.githubusercontent.com/u/37366708?v=4
3D transformations for Python.
['mathematics', 'matplotlib', 'transformations', 'visualization']
['mathematics', 'matplotlib', 'transformations', 'visualization']
2023-11-04
[('enthought/mayavi', 0.6477158665657043, 'viz', 1), ('marcomusy/vedo', 0.6237989664077759, 'viz', 1), ('scitools/cartopy', 0.6194444298744202, 'gis', 1), ('matplotlib/matplotlib', 0.5860082507133484, 'viz', 1), ('mwaskom/seaborn', 0.5858793258666992, 'viz', 1), ('altair-viz/altair', 0.5856305360794067, 'viz', 1), ('holoviz/geoviews', 0.5822384357452393, 'gis', 0), ('residentmario/geoplot', 0.5743772983551025, 'gis', 1), ('google/jax', 0.5666728615760803, 'ml', 0), ('maartenbreddels/ipyvolume', 0.5542986392974854, 'jupyter', 0), ('pyproj4/pyproj', 0.5527838468551636, 'gis', 0), ('holoviz/holoviz', 0.5455291867256165, 'viz', 0), ('contextlab/hypertools', 0.5422584414482117, 'ml', 1), ('artelys/geonetworkx', 0.5281858444213867, 'gis', 0), ('isl-org/open3d', 0.5204105377197266, 'sim', 1), ('luispedro/mahotas', 0.5193596482276917, 'viz', 0), ('holoviz/hvplot', 0.5157265663146973, 'pandas', 0), ('has2k1/plotnine', 0.5153816342353821, 'viz', 0), ('gboeing/pynamical', 0.5125102400779724, 'sim', 2), ('pyqtgraph/pyqtgraph', 0.5104587078094482, 'viz', 1), ('scikit-geometry/scikit-geometry', 0.5100734233856201, 'gis', 0), ('connorferster/handcalcs', 0.5065004229545593, 'jupyter', 0), ('earthlab/earthpy', 0.5059515833854675, 'gis', 0), ('vispy/vispy', 0.5056593418121338, 'viz', 1)]
19
4
null
10.4
12
5
81
2
8
5
8
12
12
90
1
34
1,487
crypto
https://github.com/1200wd/bitcoinlib
[]
null
[]
[]
null
null
null
1200wd/bitcoinlib
bitcoinlib
531
177
18
Python
http://bitcoinlib.readthedocs.io/
Bitcoin and other Cryptocurrencies Library for Python. Includes a fully functional wallet, Mnemonic key generation and management and connection with various service providers to receive and send blockchain and transaction information.
1200wd
2024-01-12
2016-02-17
414
1.279959
https://avatars.githubusercontent.com/u/944360?v=4
Bitcoin and other Cryptocurrencies Library for Python. Includes a fully functional wallet, Mnemonic key generation and management and connection with various service providers to receive and send blockchain and transaction information.
['bitcoin', 'dash', 'litecoin']
['bitcoin', 'dash', 'litecoin']
2023-11-23
[('primal100/pybitcointools', 0.7157860994338989, 'crypto', 0), ('pyca/cryptography', 0.6551878452301025, 'util', 0), ('legrandin/pycryptodome', 0.6432069540023804, 'util', 0), ('pypy/pypy', 0.6188755631446838, 'util', 0), ('pmaji/crypto-whale-watching-app', 0.6108453869819641, 'crypto', 3), ('ethereum/web3.py', 0.6057431101799011, 'crypto', 0), ('man-c/pycoingecko', 0.6038165092468262, 'crypto', 0), ('pytoolz/toolz', 0.5831727385520935, 'util', 0), ('plotly/dash', 0.5799865126609802, 'viz', 1), ('pyca/pynacl', 0.5711807608604431, 'util', 0), ('pyston/pyston', 0.5686086416244507, 'util', 0), ('ccxt/ccxt', 0.566085934638977, 'crypto', 1), ('willmcgugan/textual', 0.5643294453620911, 'term', 0), ('gbeced/basana', 0.5637730360031128, 'finance', 0), ('dylanhogg/awesome-python', 0.5614901185035706, 'study', 0), ('numerai/example-scripts', 0.5599415898323059, 'finance', 0), ('libtcod/python-tcod', 0.5591480731964111, 'gamedev', 0), ('fastai/fastcore', 0.5587186813354492, 'util', 0), ('erotemic/ubelt', 0.5576600432395935, 'util', 0), ('gbeced/pyalgotrade', 0.5566604733467102, 'finance', 0), ('cherrypy/cherrypy', 0.5514862537384033, 'web', 0), ('ethereum/py-evm', 0.546512246131897, 'crypto', 0), ('clips/pattern', 0.5464682579040527, 'nlp', 0), ('masoniteframework/masonite', 0.5462782979011536, 'web', 0), ('domokane/financepy', 0.5450164675712585, 'finance', 0), ('bottlepy/bottle', 0.5447421669960022, 'web', 0), ('python/cpython', 0.5435817241668701, 'util', 0), ('krzjoa/awesome-python-data-science', 0.5427032113075256, 'study', 0), ('goldmansachs/gs-quant', 0.5417495965957642, 'finance', 0), ('paramiko/paramiko', 0.5394938588142395, 'util', 0), ('ta-lib/ta-lib-python', 0.5371884703636169, 'finance', 0), ('timofurrer/awesome-asyncio', 0.5357022285461426, 'study', 0), ('tiangolo/sqlmodel', 0.5315213799476624, 'data', 0), ('ranaroussi/quantstats', 0.5297749638557434, 'finance', 0), ('webpy/webpy', 0.5290544033050537, 'web', 0), ('eleutherai/pyfra', 0.5283639430999756, 'ml', 0), ('evhub/coconut', 0.5255511403083801, 'util', 0), ('pallets/flask', 0.5223922729492188, 'web', 0), ('python-odin/odin', 0.5217608213424683, 'util', 0), ('cython/cython', 0.5212488770484924, 'util', 0), ('scrapy/scrapy', 0.5212147831916809, 'data', 0), ('adafruit/circuitpython', 0.519145131111145, 'util', 0), ('pygamelib/pygamelib', 0.5186594128608704, 'gamedev', 0), ('imageio/imageio', 0.517402708530426, 'util', 0), ('ofek/bit', 0.5140418410301208, 'crypto', 1), ('pmorissette/ffn', 0.5135668516159058, 'finance', 0), ('pandas-dev/pandas', 0.5127820372581482, 'pandas', 0), ('pyparsing/pyparsing', 0.5124039053916931, 'util', 0), ('r0x0r/pywebview', 0.5121883153915405, 'gui', 0), ('quantopian/zipline', 0.5117334723472595, 'finance', 0), ('fredrik-johansson/mpmath', 0.5103440284729004, 'math', 0), ('dylanhogg/crazy-awesome-crypto', 0.5096782445907593, 'crypto', 1), ('quantconnect/lean', 0.5076516270637512, 'finance', 0), ('falconry/falcon', 0.5075222849845886, 'web', 0), ('wesm/pydata-book', 0.5045524835586548, 'study', 0), ('gradio-app/gradio', 0.5043916702270508, 'viz', 0), ('micropython/micropython', 0.5035257935523987, 'util', 0), ('hoffstadt/dearpygui', 0.5015420913696289, 'gui', 0), ('googleapis/google-api-python-client', 0.5004116892814636, 'util', 0), ('simple-salesforce/simple-salesforce', 0.5001790523529053, 'data', 0)]
26
5
null
1.85
29
17
96
2
0
6
6
29
38
90
1.3
34
1,556
ml
https://github.com/nevronai/metisfl
[]
null
[]
[]
null
null
null
nevronai/metisfl
MetisFL
528
49
17
Python
https://metisfl.org
The first open Federated Learning framework implemented in C++ and Python.
nevronai
2024-01-10
2023-06-05
34
15.464435
https://avatars.githubusercontent.com/u/6014092?v=4
The first open Federated Learning framework implemented in C++ and Python.
['artificial-intelligence', 'collaborative-ai', 'deep-learning', 'federated-analytics', 'federated-learning', 'federated-learning-framework', 'machine-learning']
['artificial-intelligence', 'collaborative-ai', 'deep-learning', 'federated-analytics', 'federated-learning', 'federated-learning-framework', 'machine-learning']
2023-11-06
[('adap/flower', 0.8411728739738464, 'ml-ops', 6), ('jonasgeiping/breaching', 0.6550554037094116, 'ml', 2), ('tensorflow/tensorflow', 0.6451448798179626, 'ml-dl', 2), ('mlflow/mlflow', 0.5837588310241699, 'ml-ops', 1), ('horovod/horovod', 0.5837339162826538, 'ml-ops', 2), ('nccr-itmo/fedot', 0.5833522081375122, 'ml-ops', 1), ('merantix-momentum/squirrel-core', 0.560804009437561, 'ml', 2), ('determined-ai/determined', 0.5598009824752808, 'ml-ops', 2), ('onnx/onnx', 0.543806254863739, 'ml', 2), ('rasahq/rasa', 0.5226208567619324, 'llm', 1), ('ml-tooling/opyrator', 0.5207219123840332, 'viz', 1), ('uber/fiber', 0.5169682502746582, 'data', 1), ('eventual-inc/daft', 0.515454113483429, 'pandas', 2), ('polyaxon/polyaxon', 0.5108596682548523, 'ml-ops', 3), ('ai4finance-foundation/finrl', 0.5089988112449646, 'finance', 0), ('explosion/thinc', 0.5079528093338013, 'ml-dl', 3), ('paddlepaddle/paddle', 0.5069923996925354, 'ml-dl', 2), ('dylanhogg/awesome-python', 0.5050832033157349, 'study', 2), ('huggingface/huggingface_hub', 0.5000477433204651, 'ml', 2)]
14
2
null
5.6
0
0
7
2
0
0
0
0
0
90
0
34
484
gis
https://github.com/earthlab/earthpy
[]
null
[]
[]
null
null
null
earthlab/earthpy
earthpy
472
161
19
Python
https://earthpy.readthedocs.io
A package built to support working with spatial data using open source python
earthlab
2024-01-04
2018-02-20
310
1.522581
https://avatars.githubusercontent.com/u/19476722?v=4
A package built to support working with spatial data using open source python
['education', 'raster', 'spatial-data', 'vector']
['education', 'raster', 'spatial-data', 'vector']
2023-08-23
[('makepath/xarray-spatial', 0.6488336324691772, 'gis', 0), ('pysal/pysal', 0.6416592597961426, 'gis', 0), ('residentmario/geoplot', 0.63930344581604, 'gis', 0), ('gregorhd/mapcompare', 0.6392421722412109, 'gis', 0), ('scitools/cartopy', 0.6048831343650818, 'gis', 0), ('geopandas/geopandas', 0.6019172668457031, 'gis', 0), ('imageio/imageio', 0.5848910808563232, 'util', 0), ('artelys/geonetworkx', 0.5808680057525635, 'gis', 0), ('scitools/iris', 0.5802125930786133, 'gis', 0), ('raphaelquast/eomaps', 0.5780810713768005, 'gis', 0), ('osgeo/gdal', 0.5730497241020203, 'gis', 2), ('opengeos/leafmap', 0.572256863117218, 'gis', 0), ('pandas-dev/pandas', 0.5722144842147827, 'pandas', 0), ('marcomusy/vedo', 0.5666988492012024, 'viz', 0), ('osgeo/grass', 0.5645433068275452, 'gis', 2), ('opengeos/segment-geospatial', 0.5494171977043152, 'gis', 0), ('giswqs/geemap', 0.5480675101280212, 'gis', 0), ('pycaret/pycaret', 0.5419654846191406, 'ml', 0), ('kornia/kornia', 0.5408483743667603, 'ml-dl', 0), ('contextlab/hypertools', 0.5363619923591614, 'ml', 0), ('sentinel-hub/eo-learn', 0.5327595472335815, 'gis', 0), ('isl-org/open3d', 0.5324108004570007, 'sim', 0), ('cloudsen12/easystac', 0.5297847390174866, 'gis', 0), ('weecology/deepforest', 0.5284902453422546, 'gis', 0), ('tebelorg/rpa-python', 0.5264238715171814, 'util', 0), ('toblerity/rtree', 0.5261022448539734, 'gis', 0), ('altair-viz/altair', 0.5252060294151306, 'viz', 0), ('enthought/mayavi', 0.5246884822845459, 'viz', 0), ('krzjoa/awesome-python-data-science', 0.5236297249794006, 'study', 0), ('holoviz/geoviews', 0.5206630229949951, 'gis', 0), ('remotesensinglab/raster4ml', 0.5156380534172058, 'gis', 0), ('fatiando/verde', 0.5133398771286011, 'gis', 0), ('wesm/pydata-book', 0.512826681137085, 'study', 0), ('holoviz/spatialpandas', 0.5123425722122192, 'pandas', 0), ('albahnsen/pycircular', 0.5108852982521057, 'math', 0), ('has2k1/plotnine', 0.5097348093986511, 'viz', 0), ('numpy/numpy', 0.5088415741920471, 'math', 0), ('lightly-ai/lightly', 0.5085079669952393, 'ml', 0), ('holoviz/holoviz', 0.5084066987037659, 'viz', 0), ('featurelabs/featuretools', 0.5079247355461121, 'ml', 0), ('pyqtgraph/pyqtgraph', 0.506048321723938, 'viz', 0), ('dfki-ric/pytransform3d', 0.5059515833854675, 'math', 0), ('mwaskom/seaborn', 0.5044101476669312, 'viz', 0)]
44
8
null
0.71
17
9
72
5
0
6
6
17
21
90
1.2
34
557
gis
https://github.com/geopandas/contextily
[]
null
[]
[]
null
null
null
geopandas/contextily
contextily
456
80
16
Jupyter Notebook
https://contextily.readthedocs.io/en/latest/
Context geo-tiles in Python
geopandas
2024-01-11
2016-09-08
385
1.182222
https://avatars.githubusercontent.com/u/8130715?v=4
Context geo-tiles in Python
['cartography', 'geography', 'mapping', 'matplotlib', 'openstreetmap', 'osm', 'stamen', 'stamen-maps', 'tile', 'tiles', 'webtiles']
['cartography', 'geography', 'mapping', 'matplotlib', 'openstreetmap', 'osm', 'stamen', 'stamen-maps', 'tile', 'tiles', 'webtiles']
2023-12-29
[('bitcraft/pytmx', 0.5879520177841187, 'gamedev', 0), ('opengeos/leafmap', 0.5741623044013977, 'gis', 1), ('holoviz/geoviews', 0.5272794961929321, 'gis', 0), ('marceloprates/prettymaps', 0.5095080137252808, 'viz', 3)]
24
5
null
0.27
6
5
89
0
3
1
3
6
15
90
2.5
34
1,488
ml
https://github.com/scikit-build/scikit-build
[]
null
[]
[]
null
null
null
scikit-build/scikit-build
scikit-build
448
160
18
Python
https://scikit-build.readthedocs.io
Improved build system generator for CPython C, C++, Cython and Fortran extensions
scikit-build
2024-01-07
2014-07-11
498
0.898567
https://avatars.githubusercontent.com/u/8144855?v=4
Improved build system generator for CPython C, C++, Cython and Fortran extensions
['build-tool', 'c', 'c-extension', 'c-plus-plus', 'cmake', 'cpython', 'cython', 'fortran', 'kitware', 'packaging', 'scikit-build', 'wheels']
['build-tool', 'c', 'c-extension', 'c-plus-plus', 'cmake', 'cpython', 'cython', 'fortran', 'kitware', 'packaging', 'scikit-build', 'wheels']
2023-12-23
[('cython/cython', 0.6388826966285706, 'util', 3), ('pyo3/maturin', 0.6356386542320251, 'util', 3), ('pypy/pypy', 0.5764753222465515, 'util', 1), ('openai/triton', 0.5731392502784729, 'util', 0), ('pytoolz/cytoolz', 0.5701683759689331, 'util', 0), ('ninja-build/ninja', 0.562438428401947, 'util', 0), ('faster-cpython/tools', 0.5580853819847107, 'perf', 1), ('faster-cpython/ideas', 0.5575029253959656, 'perf', 1), ('python/cpython', 0.5448643565177917, 'util', 1), ('facebookincubator/cinder', 0.5411034226417542, 'perf', 1), ('panda3d/panda3d', 0.5191662907600403, 'gamedev', 1), ('pypa/hatch', 0.509085476398468, 'util', 1), ('spack/spack', 0.5056064128875732, 'util', 0)]
67
3
null
2.4
24
14
116
1
10
4
10
24
31
90
1.3
34
1,831
data
https://github.com/koaning/bulk
['data-quality', 'training-data', 'bulk-labelling']
Bulk is a quick UI developer tool to apply some bulk labels.
[]
[]
1
null
null
koaning/bulk
bulk
422
36
9
Python
null
A Simple Bulk Labelling Tool
koaning
2024-01-11
2022-05-25
87
4.803252
null
A Simple Bulk Labelling Tool
[]
['bulk-labelling', 'data-quality', 'training-data']
2023-11-15
[('koaning/embetter', 0.6180914044380188, 'data', 3), ('koaning/doubtlab', 0.5618610382080078, 'data', 1), ('cleanlab/cleanlab', 0.5123386383056641, 'ml', 1)]
11
5
null
1
1
1
20
2
0
0
0
1
3
90
3
34
951
nlp
https://github.com/cqcl/lambeq
[]
null
[]
[]
null
null
null
cqcl/lambeq
lambeq
406
93
27
Python
https://cqcl.github.io/lambeq/
A high-level Python library for Quantum Natural Language Processing
cqcl
2024-01-14
2021-10-10
120
3.375297
https://avatars.githubusercontent.com/u/15688781?v=4
A high-level Python library for Quantum Natural Language Processing
['qnlp']
['qnlp']
2024-01-11
[('pyscf/pyscf', 0.6749314069747925, 'sim', 0), ('cqcl/tket', 0.6623311638832092, 'util', 0), ('quantumlib/cirq', 0.6558890342712402, 'sim', 0), ('timdettmers/bitsandbytes', 0.5420622229576111, 'util', 0), ('mnooner256/pyqrcode', 0.5321901440620422, 'util', 0), ('jackhidary/quantumcomputingbook', 0.5265811681747437, 'study', 0), ('allenai/allennlp', 0.5252924561500549, 'nlp', 0), ('qiskit/qiskit', 0.5245597958564758, 'sim', 0), ('pytoolz/toolz', 0.5159991979598999, 'util', 0), ('bytedance/lightseq', 0.5084514617919922, 'nlp', 0), ('ferdinandzhong/punctuator', 0.5024779438972473, 'nlp', 0)]
13
2
null
0.27
7
2
28
0
5
7
5
7
14
90
2
34
1,817
util
https://github.com/roniemartinez/dude
[]
null
[]
[]
null
null
null
roniemartinez/dude
dude
393
22
13
Python
https://roniemartinez.github.io/dude/
dude uncomplicated data extraction: A simple framework for writing web scrapers using Python decorators
roniemartinez
2024-01-10
2022-02-14
102
3.847552
null
dude uncomplicated data extraction: A simple framework for writing web scrapers using Python decorators
['async', 'beautifulsoup4', 'crawler', 'css', 'framework', 'lxml', 'parsel', 'playwright', 'scraper', 'scraping', 'selenium', 'sync', 'web-scraping', 'webscraping', 'xpath']
['async', 'beautifulsoup4', 'crawler', 'css', 'framework', 'lxml', 'parsel', 'playwright', 'scraper', 'scraping', 'selenium', 'sync', 'web-scraping', 'webscraping', 'xpath']
2024-01-08
[('alirezamika/autoscraper', 0.781152606010437, 'data', 5), ('scrapy/scrapy', 0.7514920830726624, 'data', 4), ('nv7-github/googlesearch', 0.6479972004890442, 'util', 0), ('clips/pattern', 0.6342862844467163, 'nlp', 0), ('requests/toolbelt', 0.6033374071121216, 'util', 0), ('binux/pyspider', 0.5958371758460999, 'data', 1), ('masoniteframework/masonite', 0.560670018196106, 'web', 1), ('cobrateam/splinter', 0.5549781918525696, 'testing', 1), ('psf/requests', 0.5494452118873596, 'web', 0), ('webpy/webpy', 0.5446486473083496, 'web', 0), ('twintproject/twint', 0.5376254916191101, 'data', 0), ('falconry/falcon', 0.5347031354904175, 'web', 1), ('jiffyclub/snakeviz', 0.5278874635696411, 'profiling', 0), ('python-odin/odin', 0.5273708701133728, 'util', 0), ('python-markdown/markdown', 0.5186324715614319, 'util', 0), ('pallets/werkzeug', 0.5181063413619995, 'web', 0), ('klen/muffin', 0.5161595940589905, 'web', 0), ('eleutherai/pyfra', 0.5149586200714111, 'ml', 0), ('holoviz/panel', 0.5136420726776123, 'viz', 0), ('plotly/dash', 0.512108325958252, 'viz', 0), ('lxml/lxml', 0.5113477110862732, 'util', 0), ('landscapeio/prospector', 0.5066967606544495, 'util', 0), ('pallets/flask', 0.5063819289207458, 'web', 0), ('reflex-dev/reflex', 0.5052448511123657, 'web', 1), ('seleniumbase/seleniumbase', 0.5045518279075623, 'testing', 1), ('bokeh/bokeh', 0.5035302042961121, 'viz', 0), ('jovianml/opendatasets', 0.5030663013458252, 'data', 0)]
3
1
null
3.5
48
46
23
0
6
23
6
48
41
90
0.9
34
972
util
https://github.com/google/pyglove
[]
null
[]
[]
1
null
null
google/pyglove
pyglove
310
17
6
Python
null
Manipulating Python Programs
google
2024-01-12
2022-05-12
89
3.455414
https://avatars.githubusercontent.com/u/1342004?v=4
Manipulating Python Programs
['automl', 'evolution', 'machine-learning', 'manipulation', 'meta-learning', 'meta-programming', 'symbolic-programming']
['automl', 'evolution', 'machine-learning', 'manipulation', 'meta-learning', 'meta-programming', 'symbolic-programming']
2024-01-09
[('automl/auto-sklearn', 0.6234724521636963, 'ml', 2), ('epistasislab/tpot', 0.6232022643089294, 'ml', 2), ('featurelabs/featuretools', 0.601290225982666, 'ml', 2), ('norvig/pytudes', 0.5999535322189331, 'util', 0), ('gradio-app/gradio', 0.5854032039642334, 'viz', 1), ('evhub/coconut', 0.583031415939331, 'util', 0), ('eleutherai/pyfra', 0.5793092250823975, 'ml', 0), ('python/cpython', 0.5745415687561035, 'util', 0), ('scikit-learn/scikit-learn', 0.5719713568687439, 'ml', 1), ('mljar/mljar-supervised', 0.5717796683311462, 'ml', 2), ('nccr-itmo/fedot', 0.5598992109298706, 'ml-ops', 2), ('pexpect/pexpect', 0.557771623134613, 'util', 0), ('modularml/mojo', 0.5558887124061584, 'util', 1), ('lukaszahradnik/pyneuralogic', 0.5553054809570312, 'math', 1), ('microsoft/flaml', 0.5550763607025146, 'ml', 2), ('stanfordnlp/dspy', 0.5547299385070801, 'llm', 0), ('fastai/fastcore', 0.5538975596427917, 'util', 0), ('python-rope/rope', 0.5538163781166077, 'util', 0), ('reloadware/reloadium', 0.5510817766189575, 'profiling', 0), ('firmai/atspy', 0.5508860349655151, 'time-series', 0), ('pytoolz/toolz', 0.550031304359436, 'util', 0), ('google/jax', 0.5426806211471558, 'ml', 0), ('pypy/pypy', 0.5365838408470154, 'util', 0), ('pyston/pyston', 0.5362030863761902, 'util', 0), ('dagworks-inc/hamilton', 0.5348206162452698, 'ml-ops', 1), ('pyomo/pyomo', 0.5334599018096924, 'math', 0), ('goldmansachs/gs-quant', 0.5296308994293213, 'finance', 0), ('sourcery-ai/sourcery', 0.5295018553733826, 'util', 0), ('ml-tooling/opyrator', 0.5290511846542358, 'viz', 1), ('robcarver17/pysystemtrade', 0.5276491045951843, 'finance', 0), ('joblib/joblib', 0.526533305644989, 'util', 0), ('amaargiru/pyroad', 0.5239276885986328, 'study', 0), ('microsoft/nni', 0.5230394005775452, 'ml', 2), ('microsoft/pycodegpt', 0.520497739315033, 'llm', 0), ('mementum/backtrader', 0.5199276208877563, 'finance', 0), ('kubeflow/fairing', 0.5187657475471497, 'ml-ops', 0), ('artemyk/dynpy', 0.5151891708374023, 'sim', 0), ('dylanhogg/awesome-python', 0.5149620175361633, 'study', 1), ('sympy/sympy', 0.5143080353736877, 'math', 0), ('lucidrains/toolformer-pytorch', 0.5139380097389221, 'llm', 0), ('winedarksea/autots', 0.5115013122558594, 'time-series', 2), ('allrod5/injectable', 0.5078258514404297, 'util', 0), ('krzjoa/awesome-python-data-science', 0.5056788325309753, 'study', 1), ('awslabs/autogluon', 0.5035163164138794, 'ml', 2)]
7
2
null
2.62
18
18
20
0
7
5
7
18
15
90
0.8
34
1,460
util
https://github.com/mamba-org/quetz
['conda', 'packages']
null
[]
[]
null
null
null
mamba-org/quetz
quetz
251
66
19
Python
https://quetz.readthedocs.io/en/latest/
The Open-Source Server for Conda Packages
mamba-org
2024-01-04
2020-05-22
192
1.303412
https://avatars.githubusercontent.com/u/66118895?v=4
The Open-Source Server for Conda Packages
[]
['conda', 'packages']
2023-12-04
[('conda/conda-pack', 0.785363495349884, 'util', 1), ('conda/conda-build', 0.7619379758834839, 'util', 1), ('mamba-org/boa', 0.7533841729164124, 'util', 1), ('conda/constructor', 0.7079612612724304, 'util', 1), ('mamba-org/mamba', 0.699140191078186, 'util', 1), ('conda-forge/feedstocks', 0.6082790493965149, 'util', 1), ('conda/conda', 0.5807616710662842, 'util', 1), ('mamba-org/gator', 0.5806750655174255, 'jupyter', 2), ('conda-forge/miniforge', 0.5642527341842651, 'util', 0), ('mamba-org/micromamba-docker', 0.5259016752243042, 'util', 1), ('conda-forge/conda-smithy', 0.5191918015480042, 'util', 0), ('openai/openai-python', 0.5004561543464661, 'util', 0)]
46
6
null
1.33
19
9
44
1
14
10
14
19
23
90
1.2
34
1,450
util
https://github.com/thoth-station/micropipenv
[]
null
[]
[]
null
null
null
thoth-station/micropipenv
micropipenv
224
24
7
Python
https://pypi.org/project/micropipenv/
A lightweight wrapper for pip to support requirements.txt, Pipenv and Poetry lock files or converting them to pip-tools compatible output. Designed for containerized Python applications but not limited to them.
thoth-station
2024-01-04
2020-02-10
207
1.081379
https://avatars.githubusercontent.com/u/36954363?v=4
A lightweight wrapper for pip to support requirements.txt, Pipenv and Poetry lock files or converting them to pip-tools compatible output. Designed for containerized Python applications but not limited to them.
['dependency-management', 'pip', 'pip-tools', 'pip3', 'pipenv', 'poetry', 'thoth']
['dependency-management', 'pip', 'pip-tools', 'pip3', 'pipenv', 'poetry', 'thoth']
2023-11-28
[('pypa/pipenv', 0.6586019992828369, 'util', 1), ('jazzband/pip-tools', 0.6279821991920471, 'util', 2), ('bndr/pipreqs', 0.625019907951355, 'util', 0), ('pdm-project/pdm', 0.5940836071968079, 'util', 0), ('pomponchik/instld', 0.5940703749656677, 'util', 1), ('pyenv/pyenv', 0.5758981704711914, 'util', 1), ('pypa/hatch', 0.5751578211784363, 'util', 0), ('python-poetry/poetry', 0.5704753994941711, 'util', 1), ('kellyjonbrazil/jc', 0.5520144701004028, 'util', 0), ('tiangolo/poetry-version-plugin', 0.5446652173995972, 'util', 0), ('pypy/pypy', 0.5429415106773376, 'util', 0), ('pytoolz/toolz', 0.5317614078521729, 'util', 0), ('pypa/virtualenv', 0.5239235758781433, 'util', 1), ('dagworks-inc/hamilton', 0.522192656993866, 'ml-ops', 0), ('indygreg/pyoxidizer', 0.513746976852417, 'util', 0), ('trailofbits/pip-audit', 0.5130209922790527, 'security', 1), ('orchest/orchest', 0.5059201121330261, 'ml-ops', 0), ('mitsuhiko/rye', 0.5018079280853271, 'util', 0)]
17
6
null
0.58
7
7
48
2
0
11
11
7
25
90
3.6
34
1,766
data
https://github.com/mause/duckdb_engine
['duckdb']
null
[]
[]
null
null
null
mause/duckdb_engine
duckdb_engine
215
31
4
Python
null
SQLAlchemy driver for DuckDB
mause
2024-01-11
2020-09-28
174
1.234619
null
SQLAlchemy driver for DuckDB
['duckdb', 'duckdb-engine', 'sql', 'sqlalchemy']
['duckdb', 'duckdb-engine', 'sql', 'sqlalchemy']
2024-01-14
[('sqlalchemy/sqlalchemy', 0.6847227215766907, 'data', 2), ('sqlalchemy/alembic', 0.6483481526374817, 'data', 2), ('aminalaee/sqladmin', 0.5703755021095276, 'data', 1), ('agronholm/sqlacodegen', 0.5388209819793701, 'data', 0), ('tiangolo/sqlmodel', 0.529965877532959, 'data', 2), ('duckdb/duckdb', 0.510148286819458, 'pandas', 1), ('ibis-project/ibis', 0.5086135864257812, 'data', 3), ('mongodb/mongo-python-driver', 0.5003612041473389, 'data', 0)]
22
3
null
6.37
82
74
40
0
14
16
14
82
45
90
0.5
34
1,263
util
https://github.com/weaviate/weaviate-python-client
[]
null
[]
[]
null
null
null
weaviate/weaviate-python-client
weaviate-python-client
83
39
24
Python
https://weaviate.io/developers/weaviate/current/client-libraries/python.html
A python native client for easy interaction with a Weaviate instance.
weaviate
2024-01-06
2019-09-10
229
0.362445
https://avatars.githubusercontent.com/u/37794290?v=4
A python native client for easy interaction with a Weaviate instance.
['vector-search', 'weaviate']
['vector-search', 'weaviate']
2024-01-02
[('qdrant/qdrant-client', 0.5938428640365601, 'util', 1), ('pinecone-io/pinecone-python-client', 0.5670716762542725, 'data', 1), ('weaviate/demo-text2vec-openai', 0.5271196365356445, 'util', 2), ('huggingface/huggingface_hub', 0.5164599418640137, 'ml', 0), ('beeware/toga', 0.5031599998474121, 'gui', 0)]
32
3
null
9.33
184
175
53
0
36
35
36
184
218
90
1.2
34
962
ml-rl
https://github.com/keras-rl/keras-rl
[]
null
[]
[]
null
null
null
keras-rl/keras-rl
keras-rl
5,463
1,368
207
Python
http://keras-rl.readthedocs.io/
Deep Reinforcement Learning for Keras.
keras-rl
2024-01-12
2016-07-02
395
13.81539
https://avatars.githubusercontent.com/u/37139783?v=4
Deep Reinforcement Learning for Keras.
['keras', 'machine-learning', 'neural-networks', 'reinforcement-learning', 'tensorflow', 'theano']
['keras', 'machine-learning', 'neural-networks', 'reinforcement-learning', 'tensorflow', 'theano']
2019-11-11
[('tensorlayer/tensorlayer', 0.6922048926353455, 'ml-rl', 2), ('google/trax', 0.6790956258773804, 'ml-dl', 2), ('denys88/rl_games', 0.6609601974487305, 'ml-rl', 1), ('thu-ml/tianshou', 0.6519415378570557, 'ml-rl', 0), ('keras-team/keras', 0.64116370677948, 'ml-dl', 3), ('unity-technologies/ml-agents', 0.6218107342720032, 'ml-rl', 3), ('pytorch/rl', 0.6202392578125, 'ml-rl', 2), ('tensorflow/tensor2tensor', 0.6136747002601624, 'ml', 2), ('salesforce/warp-drive', 0.6099841594696045, 'ml-rl', 1), ('ddbourgin/numpy-ml', 0.6088154911994934, 'ml', 3), ('ai4finance-foundation/finrl', 0.5993512272834778, 'finance', 1), ('google/dopamine', 0.5969773530960083, 'ml-rl', 1), ('deepmind/dm_control', 0.590694010257721, 'ml-rl', 3), ('openai/spinningup', 0.5871951580047607, 'study', 0), ('tensorflow/tensorflow', 0.5854769349098206, 'ml-dl', 2), ('nyandwi/modernconvnets', 0.58319491147995, 'ml-dl', 3), ('d2l-ai/d2l-en', 0.5773378610610962, 'study', 4), ('onnx/onnx', 0.5747138261795044, 'ml', 3), ('danielegrattarola/spektral', 0.5715480446815491, 'ml-dl', 2), ('mosaicml/composer', 0.5626094341278076, 'ml-dl', 2), ('keras-team/keras-nlp', 0.5594122409820557, 'nlp', 3), ('determined-ai/determined', 0.5585846900939941, 'ml-ops', 3), ('microsoft/onnxruntime', 0.5557011961936951, 'ml', 3), ('mrdbourke/pytorch-deep-learning', 0.554979681968689, 'study', 1), ('openai/baselines', 0.5544887781143188, 'ml-rl', 0), ('xl0/lovely-tensors', 0.5526697635650635, 'ml-dl', 0), ('ageron/handson-ml2', 0.5413088202476501, 'ml', 0), ('pytorchlightning/pytorch-lightning', 0.5397281050682068, 'ml-dl', 1), ('kzl/decision-transformer', 0.5381110906600952, 'ml-rl', 0), ('pytorch/pytorch', 0.535692572593689, 'ml-dl', 1), ('googlecloudplatform/vertex-ai-samples', 0.5353646278381348, 'ml', 0), ('tlkh/tf-metal-experiments', 0.5308326482772827, 'perf', 1), ('amanchadha/coursera-deep-learning-specialization', 0.5269455909729004, 'study', 1), ('huggingface/deep-rl-class', 0.5257301926612854, 'study', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5244634747505188, 'study', 1), ('keras-team/autokeras', 0.5215295553207397, 'ml-dl', 3), ('inspirai/timechamber', 0.5203887224197388, 'sim', 1), ('explosion/thinc', 0.5199488997459412, 'ml-dl', 2), ('humancompatibleai/imitation', 0.5172331929206848, 'ml-rl', 0), ('alpa-projects/alpa', 0.5167292356491089, 'ml-dl', 1), ('pyro-ppl/pyro', 0.5166857242584229, 'ml-dl', 1), ('bentoml/bentoml', 0.5166836977005005, 'ml-ops', 1), ('nvidia/deeplearningexamples', 0.5158306956291199, 'ml-dl', 1), ('deepmind/pysc2', 0.5143329501152039, 'ml-rl', 2), ('horovod/horovod', 0.509486973285675, 'ml-ops', 3), ('ggerganov/ggml', 0.5087230205535889, 'ml', 1), ('pytorch/ignite', 0.5081517696380615, 'ml-dl', 1), ('rasbt/deeplearning-models', 0.5067861080169678, 'ml-dl', 0), ('opentensor/bittensor', 0.5059829950332642, 'ml', 2), ('rasbt/machine-learning-book', 0.5053036212921143, 'study', 2), ('mrdbourke/tensorflow-deep-learning', 0.5023423433303833, 'study', 1), ('polyaxon/polyaxon', 0.5010080337524414, 'ml-ops', 4)]
41
3
null
0
1
0
92
51
0
1
1
1
0
90
0
33
170
nlp
https://github.com/minimaxir/textgenrnn
[]
null
[]
[]
null
null
null
minimaxir/textgenrnn
textgenrnn
4,935
765
138
Python
null
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
minimaxir
2024-01-13
2017-08-07
338
14.594423
null
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
['deep-learning', 'keras', 'tensorflow', 'text-generation']
['deep-learning', 'keras', 'tensorflow', 'text-generation']
2020-07-14
[('google/sentencepiece', 0.6446799635887146, 'nlp', 0), ('google-research/electra', 0.6392484903335571, 'ml-dl', 2), ('huggingface/text-generation-inference', 0.6332951188087463, 'llm', 1), ('infinitylogesh/mutate', 0.5876234769821167, 'nlp', 1), ('minimaxir/gpt-2-simple', 0.5805365443229675, 'llm', 2), ('lucidrains/imagen-pytorch', 0.5763087272644043, 'ml-dl', 1), ('minimaxir/aitextgen', 0.57369065284729, 'llm', 0), ('yueyu1030/attrprompt', 0.545197069644928, 'llm', 0), ('alibaba/easynlp', 0.5449576377868652, 'nlp', 1), ('lucidrains/dalle2-pytorch', 0.5387126207351685, 'diffusion', 1), ('microsoft/unilm', 0.5143858194351196, 'nlp', 0), ('allenai/allennlp', 0.5124790072441101, 'nlp', 1), ('nvidia/deeplearningexamples', 0.5115391612052917, 'ml-dl', 2), ('lucidrains/deep-daze', 0.5096532106399536, 'ml', 1), ('kagisearch/vectordb', 0.5044152140617371, 'data', 0), ('nvidia/nemo', 0.5010759234428406, 'nlp', 1)]
19
3
null
0
0
0
78
43
0
2
2
0
0
90
0
33
389
diffusion
https://github.com/openai/glide-text2im
[]
null
[]
[]
null
null
null
openai/glide-text2im
glide-text2im
3,387
479
158
Python
null
GLIDE: a diffusion-based text-conditional image synthesis model
openai
2024-01-14
2021-12-10
111
30.357234
https://avatars.githubusercontent.com/u/14957082?v=4
GLIDE: a diffusion-based text-conditional image synthesis model
[]
[]
2022-03-21
[('compvis/stable-diffusion', 0.6833638548851013, 'diffusion', 0), ('compvis/latent-diffusion', 0.6436025500297546, 'diffusion', 0), ('stability-ai/stablediffusion', 0.6436024308204651, 'diffusion', 0), ('sharonzhou/long_stable_diffusion', 0.6345992684364319, 'diffusion', 0), ('saharmor/dalle-playground', 0.6006641387939453, 'diffusion', 0), ('lucidrains/dalle2-pytorch', 0.5790383219718933, 'diffusion', 0), ('huggingface/diffusers', 0.565796971321106, 'diffusion', 0), ('nateraw/stable-diffusion-videos', 0.5577892661094666, 'diffusion', 0), ('chenyangqiqi/fatezero', 0.5413234233856201, 'diffusion', 0), ('thudm/cogvideo', 0.5404991507530212, 'ml', 0), ('albarji/mixture-of-diffusers', 0.5093878507614136, 'diffusion', 0)]
4
1
null
0
2
0
25
22
0
0
0
2
0
90
0
33
1,811
data
https://github.com/awslabs/amazon-redshift-utils
['aws', 'redshift']
null
[]
[]
null
null
null
awslabs/amazon-redshift-utils
amazon-redshift-utils
2,685
1,238
221
Python
null
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
awslabs
2024-01-12
2014-12-09
477
5.628931
https://avatars.githubusercontent.com/u/3299148?v=4
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
[]
['aws', 'redshift']
2023-11-03
[]
190
2
null
0.56
6
2
111
2
0
0
0
6
0
90
0
33
665
ml
https://github.com/apple/ml-ane-transformers
[]
null
[]
[]
null
null
null
apple/ml-ane-transformers
ml-ane-transformers
2,416
77
47
Python
null
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
apple
2024-01-13
2022-06-03
86
27.907591
https://avatars.githubusercontent.com/u/10639145?v=4
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
[]
[]
2022-08-09
[('huggingface/optimum', 0.5597668886184692, 'ml', 0), ('alignmentresearch/tuned-lens', 0.5322527289390564, 'ml-interpretability', 0), ('eleutherai/knowledge-neurons', 0.5135902762413025, 'ml-interpretability', 0), ('huggingface/transformers', 0.5047073364257812, 'nlp', 0), ('karpathy/mingpt', 0.5006250143051147, 'llm', 0)]
1
1
null
0
0
0
20
17
0
2
2
0
0
90
0
33
1,376
ml-rl
https://github.com/kzl/decision-transformer
['gym', 'atari']
null
[]
[]
null
null
null
kzl/decision-transformer
decision-transformer
2,001
389
31
Python
null
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
kzl
2024-01-13
2021-06-02
138
14.410494
null
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
[]
['atari', 'gym']
2022-02-07
[('thu-ml/tianshou', 0.6393781900405884, 'ml-rl', 1), ('nvidia-omniverse/isaacgymenvs', 0.5959394574165344, 'sim', 1), ('lvwerra/trl', 0.5943164229393005, 'llm', 0), ('google/trax', 0.5694336891174316, 'ml-dl', 0), ('farama-foundation/gymnasium', 0.5532186031341553, 'ml-rl', 1), ('pytorch/rl', 0.5421603322029114, 'ml-rl', 0), ('keras-rl/keras-rl', 0.5381110906600952, 'ml-rl', 0), ('nvidia-omniverse/omniisaacgymenvs', 0.5326739549636841, 'sim', 0), ('denys88/rl_games', 0.5308516025543213, 'ml-rl', 0), ('humancompatibleai/imitation', 0.5276908874511719, 'ml-rl', 0), ('pettingzoo-team/pettingzoo', 0.5139691829681396, 'ml-rl', 1), ('openai/baselines', 0.5097741484642029, 'ml-rl', 0), ('openai/gym', 0.5008352994918823, 'ml-rl', 0)]
5
2
null
0
7
3
32
24
0
0
0
7
7
90
1
33
422
debug
https://github.com/gotcha/ipdb
[]
null
[]
[]
null
null
null
gotcha/ipdb
ipdb
1,788
148
28
Python
null
Integration of IPython pdb
gotcha
2024-01-09
2011-01-15
680
2.627756
null
Integration of IPython pdb
['debugger', 'ipython']
['debugger', 'ipython']
2023-08-03
[('inducer/pudb', 0.6826649904251099, 'debug', 2), ('p403n1x87/austin', 0.5680873394012451, 'profiling', 0), ('python/cpython', 0.5667539238929749, 'util', 0), ('ipython/ipyparallel', 0.5557621717453003, 'perf', 0), ('wesm/pydata-book', 0.5557295083999634, 'study', 0), ('alexmojaki/snoop', 0.5553923845291138, 'debug', 1), ('faster-cpython/tools', 0.549821138381958, 'perf', 0), ('faster-cpython/ideas', 0.5395191311836243, 'perf', 0), ('ipython/ipykernel', 0.5379695892333984, 'util', 1), ('pytorch/data', 0.5220991969108582, 'data', 0), ('brandtbucher/specialist', 0.5149388313293457, 'perf', 0), ('samuelcolvin/python-devtools', 0.5089204907417297, 'debug', 0), ('rasbt/watermark', 0.5067563652992249, 'util', 1)]
58
6
null
0.13
3
1
158
5
0
3
3
3
3
90
1
33
217
ml
https://github.com/linkedin/greykite
[]
null
[]
[]
1
null
null
linkedin/greykite
greykite
1,765
105
37
Python
null
A flexible, intuitive and fast forecasting library
linkedin
2024-01-11
2021-04-27
144
12.256944
https://avatars.githubusercontent.com/u/357098?v=4
A flexible, intuitive and fast forecasting library
[]
[]
2023-06-07
[('nixtla/statsforecast', 0.5983828902244568, 'time-series', 0), ('alkaline-ml/pmdarima', 0.5944582223892212, 'time-series', 0), ('unit8co/darts', 0.5859647989273071, 'time-series', 0), ('salesforce/merlion', 0.5402796864509583, 'time-series', 0), ('facebook/prophet', 0.5375127196311951, 'time-series', 0), ('sktime/sktime', 0.5227073431015015, 'time-series', 0), ('firmai/atspy', 0.5171492099761963, 'time-series', 0), ('salesforce/deeptime', 0.5127387642860413, 'time-series', 0), ('microsoft/flaml', 0.5093781352043152, 'ml', 0), ('aistream-peelout/flow-forecast', 0.5091543197631836, 'time-series', 0)]
9
3
null
0.08
2
0
33
7
1
2
1
2
0
90
0
33
772
nlp
https://github.com/deepset-ai/farm
['question-answering']
null
[]
[]
null
null
null
deepset-ai/farm
FARM
1,710
244
53
Python
https://farm.deepset.ai
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
deepset-ai
2024-01-14
2019-07-17
236
7.219542
https://avatars.githubusercontent.com/u/51827949?v=4
🏑 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
['bert', 'deep-learning', 'germanbert', 'language-models', 'ner', 'nlp', 'nlp-framework', 'nlp-library', 'pretrained-models', 'pytorch', 'question-answering', 'roberta', 'transfer-learning', 'xlnet-pytorch']
['bert', 'deep-learning', 'germanbert', 'language-models', 'ner', 'nlp', 'nlp-framework', 'nlp-library', 'pretrained-models', 'pytorch', 'question-answering', 'roberta', 'transfer-learning', 'xlnet-pytorch']
2022-08-31
[('alibaba/easynlp', 0.6495715975761414, 'nlp', 6), ('paddlepaddle/paddlenlp', 0.6488863229751587, 'llm', 4), ('jonasgeiping/cramming', 0.6375002861022949, 'nlp', 0), ('huggingface/transformers', 0.6317070126533508, 'nlp', 7), ('extreme-bert/extreme-bert', 0.6253734827041626, 'llm', 5), ('graykode/nlp-tutorial', 0.6138063669204712, 'study', 3), ('llmware-ai/llmware', 0.6115893721580505, 'llm', 4), ('explosion/spacy', 0.6052958965301514, 'nlp', 3), ('allenai/allennlp', 0.5969370007514954, 'nlp', 3), ('maartengr/bertopic', 0.5806211233139038, 'nlp', 2), ('huggingface/text-generation-inference', 0.5736597180366516, 'llm', 3), ('jina-ai/finetuner', 0.5661262273788452, 'ml', 3), ('flairnlp/flair', 0.5659800171852112, 'nlp', 2), ('qanastek/drbert', 0.5561661720275879, 'llm', 2), ('srush/minichain', 0.5554335713386536, 'llm', 1), ('explosion/spacy-models', 0.5511075854301453, 'nlp', 1), ('google-research/electra', 0.5499265789985657, 'ml-dl', 2), ('microsoft/unilm', 0.5462345480918884, 'nlp', 1), ('explosion/spacy-transformers', 0.5454752445220947, 'llm', 4), ('jina-ai/clip-as-service', 0.5426168441772461, 'nlp', 3), ('ddangelov/top2vec', 0.5399625897407532, 'nlp', 1), ('nvidia/deeplearningexamples', 0.5379154086112976, 'ml-dl', 3), ('databrickslabs/dolly', 0.5375163555145264, 'llm', 0), ('bigscience-workshop/megatron-deepspeed', 0.5374853014945984, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5374853014945984, 'llm', 0), ('intellabs/fastrag', 0.5346118211746216, 'nlp', 2), ('explosion/spacy-llm', 0.5298573970794678, 'llm', 1), ('keras-team/keras-nlp', 0.5295949578285217, 'nlp', 2), ('infinitylogesh/mutate', 0.5289068818092346, 'nlp', 1), ('thilinarajapakse/simpletransformers', 0.5268033742904663, 'nlp', 1), ('norskregnesentral/skweak', 0.5261529088020325, 'nlp', 1), ('paddlepaddle/rocketqa', 0.5212914347648621, 'nlp', 2), ('tatsu-lab/stanford_alpaca', 0.5168743133544922, 'llm', 1), ('ofa-sys/ofa', 0.5126766562461853, 'llm', 1), ('prithivirajdamodaran/styleformer', 0.5097511410713196, 'nlp', 1), ('lvwerra/trl', 0.5094181299209595, 'llm', 0), ('night-chen/toolqa', 0.508597195148468, 'llm', 1), ('salesforce/blip', 0.5072547197341919, 'diffusion', 0), ('amansrivastava17/embedding-as-service', 0.5068530440330505, 'nlp', 4), ('young-geng/easylm', 0.5065217614173889, 'llm', 1), ('rasahq/rasa', 0.505393922328949, 'llm', 1), ('franck-dernoncourt/neuroner', 0.5047802329063416, 'nlp', 2), ('yueyu1030/attrprompt', 0.5037703514099121, 'llm', 0), ('nltk/nltk', 0.5018087029457092, 'nlp', 1), ('bytedance/lightseq', 0.5006200671195984, 'nlp', 1)]
37
3
null
0
3
1
55
17
0
6
6
3
1
90
0.3
33
150
data
https://github.com/simple-salesforce/simple-salesforce
[]
null
[]
[]
null
null
null
simple-salesforce/simple-salesforce
simple-salesforce
1,540
651
92
Python
null
A very simple Salesforce.com REST API client for Python
simple-salesforce
2024-01-13
2013-01-17
575
2.674938
https://avatars.githubusercontent.com/u/19581234?v=4
A very simple Salesforce.com REST API client for Python
['api', 'api-client', 'salesforce']
['api', 'api-client', 'salesforce']
2023-09-06
[('snyk-labs/pysnyk', 0.6529852151870728, 'security', 1), ('encode/httpx', 0.6496359705924988, 'web', 0), ('falconry/falcon', 0.6300815939903259, 'web', 1), ('hugapi/hug', 0.6207526922225952, 'util', 0), ('requests/toolbelt', 0.610306441783905, 'util', 0), ('taverntesting/tavern', 0.6006324291229248, 'testing', 0), ('python-restx/flask-restx', 0.5995645523071289, 'web', 1), ('psf/requests', 0.5815314650535583, 'web', 0), ('pyeve/eve', 0.5759877562522888, 'web', 0), ('bottlepy/bottle', 0.5755710601806641, 'web', 0), ('cherrypy/cherrypy', 0.5702207088470459, 'web', 0), ('webpy/webpy', 0.5696903467178345, 'web', 0), ('replicate/replicate-python', 0.5586280226707458, 'ml', 0), ('websocket-client/websocket-client', 0.5527551770210266, 'web', 0), ('ethereum/web3.py', 0.5512309670448303, 'crypto', 0), ('cohere-ai/cohere-python', 0.5442338585853577, 'util', 0), ('nasdaq/data-link-python', 0.5415635704994202, 'finance', 0), ('googleapis/google-api-python-client', 0.541388213634491, 'util', 0), ('hydrosquall/tiingo-python', 0.5396576523780823, 'finance', 0), ('openai/openai-python', 0.5326930284500122, 'util', 0), ('urwid/urwid', 0.5318827629089355, 'term', 0), ('encode/uvicorn', 0.5294420123100281, 'web', 0), ('masoniteframework/masonite', 0.5242258310317993, 'web', 0), ('steamship-core/python-client', 0.5220065116882324, 'util', 0), ('willmcgugan/textual', 0.5137646198272705, 'term', 0), ('fastai/ghapi', 0.5124199986457825, 'util', 1), ('aio-libs/aiohttp', 0.5096431970596313, 'web', 0), ('vitalik/django-ninja', 0.508848249912262, 'web', 0), ('radiantearth/radiant-mlhub', 0.5078471899032593, 'gis', 0), ('man-c/pycoingecko', 0.5065068602561951, 'crypto', 1), ('typesense/typesense-python', 0.503971517086029, 'data', 1), ('mitmproxy/pdoc', 0.5029121041297913, 'util', 1), ('1200wd/bitcoinlib', 0.5001790523529053, 'crypto', 0)]
75
4
null
0.19
34
10
134
4
3
4
3
34
13
90
0.4
33
1,844
util
https://github.com/quodlibet/mutagen
[]
null
[]
[]
null
null
null
quodlibet/mutagen
mutagen
1,390
152
36
Python
https://mutagen.readthedocs.io
Python module for handling audio metadata
quodlibet
2024-01-13
2016-04-07
407
3.40925
https://avatars.githubusercontent.com/u/11544695?v=4
Python module for handling audio metadata
['apev2', 'flac', 'id3', 'id3v1', 'id3v2', 'mp3', 'mp4', 'music', 'ogg', 'opus', 'tagging']
['apev2', 'flac', 'id3', 'id3v1', 'id3v2', 'mp3', 'mp4', 'music', 'ogg', 'opus', 'tagging']
2023-10-28
[('taylorsmarks/playsound', 0.6006749868392944, 'util', 1), ('spotify/pedalboard', 0.5746901035308838, 'util', 0), ('irmen/pyminiaudio', 0.5700762867927551, 'util', 0), ('bastibe/python-soundfile', 0.5448225736618042, 'util', 0), ('uberi/speech_recognition', 0.5264820456504822, 'ml', 0), ('libaudioflux/audioflux', 0.5058978796005249, 'util', 1)]
44
3
null
0.81
5
4
95
3
1
8
1
5
5
90
1
33
719
typing
https://github.com/patrick-kidger/torchtyping
[]
null
[]
[]
null
null
null
patrick-kidger/torchtyping
torchtyping
1,300
31
16
Python
null
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
patrick-kidger
2024-01-13
2021-03-28
148
8.766859
null
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
['named-tensors', 'python-typing', 'pytorch', 'shape', 'tensors', 'typing']
['named-tensors', 'python-typing', 'pytorch', 'shape', 'tensors', 'typing']
2023-06-20
[('arogozhnikov/einops', 0.6377165913581848, 'ml-dl', 1), ('instagram/monkeytype', 0.6300653219223022, 'typing', 0), ('facebook/pyre-check', 0.6189740300178528, 'typing', 0), ('tensorly/tensorly', 0.5934515595436096, 'ml-dl', 1), ('strawberry-graphql/strawberry', 0.5875641703605652, 'web', 0), ('microsoft/pyright', 0.5727251172065735, 'typing', 0), ('agronholm/typeguard', 0.5700576305389404, 'typing', 0), ('ggerganov/ggml', 0.5691167712211609, 'ml', 0), ('python/mypy', 0.5514424443244934, 'typing', 1), ('pydantic/pydantic', 0.5341143012046814, 'util', 1), ('google/pytype', 0.5230032205581665, 'typing', 1), ('rafiqhasan/auto-tensorflow', 0.5187631845474243, 'ml-dl', 0), ('pytorch/pytorch', 0.5150875449180603, 'ml-dl', 0), ('xl0/lovely-tensors', 0.5010529160499573, 'ml-dl', 1)]
7
5
null
0.04
1
1
34
7
0
0
0
1
1
90
1
33
1,220
template
https://github.com/ionelmc/cookiecutter-pylibrary
[]
null
[]
[]
null
null
null
ionelmc/cookiecutter-pylibrary
cookiecutter-pylibrary
1,194
207
23
Python
null
Enhanced cookiecutter template for Python libraries.
ionelmc
2024-01-14
2014-05-28
504
2.365025
null
Enhanced cookiecutter template for Python libraries.
['cookiecutter', 'cookiecutter-template', 'template']
['cookiecutter', 'cookiecutter-template', 'template']
2023-12-15
[('giswqs/pypackage', 0.8761537075042725, 'template', 3), ('lyz-code/cookiecutter-python-project', 0.8550078272819519, 'template', 1), ('tedivm/robs_awesome_python_template', 0.8226386308670044, 'template', 1), ('cookiecutter/cookiecutter', 0.7163523435592651, 'template', 1), ('buuntu/fastapi-react', 0.6523356437683105, 'template', 1), ('cjolowicz/cookiecutter-hypermodern-python', 0.6513864994049072, 'template', 0), ('crmne/cookiecutter-modern-datascience', 0.5333271026611328, 'template', 2)]
50
3
null
0.27
1
0
117
1
0
2
2
1
2
90
2
33
1,665
term
https://github.com/python-poetry/cleo
['testing']
null
[]
[]
null
null
null
python-poetry/cleo
cleo
1,180
84
23
Python
null
Cleo allows you to create beautiful and testable command-line interfaces.
python-poetry
2024-01-13
2013-12-16
528
2.234244
https://avatars.githubusercontent.com/u/48722593?v=4
Cleo allows you to create beautiful and testable command-line interfaces.
['cli', 'command-line']
['cli', 'command-line', 'testing']
2024-01-11
[('google/python-fire', 0.6746692657470703, 'term', 1), ('kellyjonbrazil/jc', 0.6012207269668579, 'util', 2), ('pyscript/pyscript-cli', 0.5874193906784058, 'web', 0), ('tiangolo/typer', 0.5780348777770996, 'term', 1), ('textualize/trogon', 0.5179005265235901, 'term', 1), ('tox-dev/tox', 0.515224039554596, 'testing', 2), ('pallets/click', 0.5077859163284302, 'term', 1), ('hoffstadt/dearpygui', 0.5041629672050476, 'gui', 0)]
34
2
null
1.21
35
30
123
0
1
3
1
35
13
90
0.4
33
378
ml-interpretability
https://github.com/cdpierse/transformers-interpret
[]
null
[]
[]
null
null
null
cdpierse/transformers-interpret
transformers-interpret
1,163
94
20
Jupyter Notebook
null
Model explainability that works seamlessly with πŸ€— transformers. Explain your transformers model in just 2 lines of code.
cdpierse
2024-01-13
2020-05-27
191
6.061802
null
Model explainability that works seamlessly with πŸ€— transformers. Explain your transformers model in just 2 lines of code.
['captum', 'computer-vision', 'deep-learning', 'explainable-ai', 'interpretability', 'machine-learning', 'model-explainability', 'natural-language-processing', 'neural-network', 'nlp', 'transformers', 'transformers-model']
['captum', 'computer-vision', 'deep-learning', 'explainable-ai', 'interpretability', 'machine-learning', 'model-explainability', 'natural-language-processing', 'neural-network', 'nlp', 'transformers', 'transformers-model']
2023-08-30
[('thilinarajapakse/simpletransformers', 0.6818839311599731, 'nlp', 1), ('huggingface/transformers', 0.6538716554641724, 'nlp', 4), ('alignmentresearch/tuned-lens', 0.6314489245414734, 'ml-interpretability', 2), ('eleutherai/knowledge-neurons', 0.6161298155784607, 'ml-interpretability', 2), ('interpretml/interpret', 0.6050029993057251, 'ml-interpretability', 3), ('mosaicml/composer', 0.5288192629814148, 'ml-dl', 3), ('lucidrains/toolformer-pytorch', 0.5184912085533142, 'llm', 2), ('bigscience-workshop/megatron-deepspeed', 0.5142018795013428, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5142018795013428, 'llm', 0), ('rafiqhasan/auto-tensorflow', 0.5105558633804321, 'ml-dl', 1), ('csinva/imodels', 0.500318169593811, 'ml', 3)]
8
6
null
0.04
1
0
44
5
1
4
1
1
1
90
1
33
691
data
https://github.com/scholarly-python-package/scholarly
[]
null
[]
[]
null
null
null
scholarly-python-package/scholarly
scholarly
1,145
282
25
Python
https://scholarly.readthedocs.io/
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
scholarly-python-package
2024-01-13
2014-12-02
478
2.395397
https://avatars.githubusercontent.com/u/65581503?v=4
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
['citation-analysis', 'citation-index', 'citation-network', 'citations', 'googlescholar', 'publication-data', 'scholar', 'scholarly-articles', 'scholarly-communications']
['citation-analysis', 'citation-index', 'citation-network', 'citations', 'googlescholar', 'publication-data', 'scholar', 'scholarly-articles', 'scholarly-communications']
2023-01-16
[('nv7-github/googlesearch', 0.6054853796958923, 'util', 0), ('googleapis/google-api-python-client', 0.5367330312728882, 'util', 0), ('urschrei/pyzotero', 0.5180812478065491, 'util', 1), ('goldsmith/wikipedia', 0.5016988515853882, 'data', 0)]
42
6
null
0
13
7
111
12
2
7
2
13
21
90
1.6
33
1,631
util
https://github.com/python-versioneer/python-versioneer
[]
null
[]
[]
null
null
null
python-versioneer/python-versioneer
python-versioneer
1,043
199
19
Python
null
version-string management for VCS-controlled trees
python-versioneer
2024-01-12
2011-11-16
636
1.63773
https://avatars.githubusercontent.com/u/71078182?v=4
version-string management for VCS-controlled trees
[]
[]
2023-12-31
[('mtkennerly/dunamai', 0.5904924869537354, 'util', 0), ('mtkennerly/poetry-dynamic-versioning', 0.5653854012489319, 'util', 0), ('pypa/setuptools_scm', 0.5380630493164062, 'util', 0), ('callowayproject/bump-my-version', 0.5228790640830994, 'util', 0)]
70
6
null
0.85
10
5
148
0
1
2
1
10
4
90
0.4
33
386
nlp
https://github.com/shivam5992/textstat
[]
null
[]
[]
null
null
null
shivam5992/textstat
textstat
1,041
156
19
Python
https://textstat.org
:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
shivam5992
2024-01-12
2014-06-18
501
2.074295
https://avatars.githubusercontent.com/u/88800038?v=4
πŸ“ python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
['flesch-kincaid-grade', 'flesch-reading-ease', 'readability', 'smog', 'textstat']
['flesch-kincaid-grade', 'flesch-reading-ease', 'readability', 'smog', 'textstat']
2024-01-09
[]
47
3
null
0.15
3
3
117
0
1
2
1
3
4
90
1.3
33
1,518
util
https://github.com/c4urself/bump2version
['versioning']
null
[]
[]
null
null
null
c4urself/bump2version
bump2version
1,026
135
13
Python
https://pypi.python.org/pypi/bump2version
Version-bump your software with a single command
c4urself
2024-01-11
2017-03-27
357
2.8728
null
Version-bump your software with a single command
[]
['versioning']
2023-10-11
[('callowayproject/bump-my-version', 0.7459608316421509, 'util', 1)]
52
5
null
0.02
5
3
83
3
0
5
5
5
2
90
0.4
33
1,514
ml
https://github.com/patchy631/machine-learning
['tutorials']
Machine Learning Tutorials Repository
[]
[]
null
null
null
patchy631/machine-learning
machine-learning
918
187
30
Jupyter Notebook
null
null
patchy631
2024-01-11
2022-06-01
86
10.569079
null
Machine Learning Tutorials Repository
[]
['tutorials']
2024-01-10
[('rasbt/machine-learning-book', 0.6192141175270081, 'study', 0), ('tensorflow/data-validation', 0.6105336546897888, 'ml-ops', 0), ('automl/auto-sklearn', 0.6001100540161133, 'ml', 0), ('alirezadir/machine-learning-interview-enlightener', 0.5960847735404968, 'study', 0), ('rasbt/stat451-machine-learning-fs20', 0.5887393355369568, 'study', 0), ('mrdbourke/zero-to-mastery-ml', 0.5848323106765747, 'study', 0), ('microsoft/nni', 0.5835422873497009, 'ml', 0), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5826952457427979, 'study', 0), ('mlflow/mlflow', 0.5804417729377747, 'ml-ops', 0), ('huggingface/evaluate', 0.5767751932144165, 'ml', 0), ('firmai/industry-machine-learning', 0.5763393044471741, 'study', 0), ('scikit-learn/scikit-learn', 0.575724184513092, 'ml', 0), ('teamhg-memex/eli5', 0.5695274472236633, 'ml', 0), ('probml/pyprobml', 0.5563993453979492, 'ml', 0), ('googlecloudplatform/vertex-ai-samples', 0.5536148548126221, 'ml', 0), ('eugeneyan/testing-ml', 0.5529058575630188, 'testing', 0), ('ageron/handson-ml2', 0.5471069812774658, 'ml', 0), ('seldonio/alibi', 0.5448355078697205, 'ml-interpretability', 0), ('tensorflow/tensorflow', 0.5448095798492432, 'ml-dl', 0), ('doccano/doccano', 0.5417935848236084, 'nlp', 0), ('ml-tooling/opyrator', 0.5287477970123291, 'viz', 0), ('gradio-app/gradio', 0.5269427299499512, 'viz', 0), ('rasbt/mlxtend', 0.5243169665336609, 'ml', 0), ('districtdatalabs/yellowbrick', 0.5236752033233643, 'ml', 0), ('csinva/imodels', 0.5233355760574341, 'ml', 0), ('nccr-itmo/fedot', 0.517076313495636, 'ml-ops', 0), ('microsoft/flaml', 0.5163537263870239, 'ml', 0), ('mrdbourke/pytorch-deep-learning', 0.5156992673873901, 'study', 0), ('marcotcr/lime', 0.5150882601737976, 'ml-interpretability', 0), ('google-research/google-research', 0.5150724053382874, 'ml', 0), ('google-research/language', 0.5135775804519653, 'nlp', 0), ('pycaret/pycaret', 0.513546884059906, 'ml', 0), ('sktime/sktime', 0.5128931403160095, 'time-series', 0), ('featurelabs/featuretools', 0.5084584355354309, 'ml', 0), ('keras-team/autokeras', 0.5066499710083008, 'ml-dl', 0), ('jindongwang/transferlearning', 0.5060864090919495, 'ml', 0), ('shankarpandala/lazypredict', 0.5044746398925781, 'ml', 0), ('udlbook/udlbook', 0.5037120580673218, 'study', 0), ('jovianml/opendatasets', 0.5012773275375366, 'data', 0)]
3
1
null
0.62
1
0
20
0
0
0
0
1
1
90
1
33