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450 | pandas | https://github.com/unionai-oss/pandera | [] | null | [] | [] | 1 | null | null | unionai-oss/pandera | pandera | 2,779 | 238 | 20 | Python | https://www.union.ai/pandera | A light-weight, flexible, and expressive statistical data testing library | unionai-oss | 2024-01-12 | 2018-11-01 | 273 | 10.152923 | https://avatars.githubusercontent.com/u/94206482?v=4 | A light-weight, flexible, and expressive statistical data testing library | ['assertions', 'data-assertions', 'data-check', 'data-cleaning', 'data-processing', 'data-validation', 'data-verification', 'dataframe-schema', 'dataframes', 'hypothesis-testing', 'pandas', 'pandas-dataframe', 'pandas-validation', 'pandas-validator', 'schema', 'testing', 'testing-tools', 'validation'] | ['assertions', 'data-assertions', 'data-check', 'data-cleaning', 'data-processing', 'data-validation', 'data-verification', 'dataframe-schema', 'dataframes', 'hypothesis-testing', 'pandas', 'pandas-dataframe', 'pandas-validation', 'pandas-validator', 'schema', 'testing', 'testing-tools', 'validation'] | 2023-12-15 | [('pandas-dev/pandas', 0.6850487589836121, 'pandas', 1), ('pyeve/cerberus', 0.6107540726661682, 'data', 1), ('ydataai/ydata-profiling', 0.5934801697731018, 'pandas', 2), ('hypothesisworks/hypothesis', 0.5685426592826843, 'testing', 1), ('python-odin/odin', 0.5636017322540283, 'util', 1), ('polyaxon/datatile', 0.5599259... | 111 | 4 | null | 2.27 | 111 | 47 | 63 | 1 | 23 | 16 | 23 | 111 | 196 | 90 | 1.8 | 51 |
1,310 | study | https://github.com/promptslab/awesome-prompt-engineering | ['awesome'] | null | [] | [] | null | null | null | promptslab/awesome-prompt-engineering | Awesome-Prompt-Engineering | 2,728 | 231 | 49 | Python | https://discord.gg/m88xfYMbK6 | This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc | promptslab | 2024-01-14 | 2023-02-09 | 50 | 53.791549 | https://avatars.githubusercontent.com/u/120981762?v=4 | This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc | ['chatgpt', 'chatgpt-api', 'deep-learning', 'few-shot-learning', 'gpt', 'gpt-3', 'machine-learning', 'openai', 'prompt', 'prompt-based-learning', 'prompt-engineering', 'prompt-generator', 'prompt-learning', 'prompt-toolkit', 'prompt-tuning', 'promptengineering', 'text-to-image', 'text-to-speech', 'text-to-video'] | ['awesome', 'chatgpt', 'chatgpt-api', 'deep-learning', 'few-shot-learning', 'gpt', 'gpt-3', 'machine-learning', 'openai', 'prompt', 'prompt-based-learning', 'prompt-engineering', 'prompt-generator', 'prompt-learning', 'prompt-toolkit', 'prompt-tuning', 'promptengineering', 'text-to-image', 'text-to-speech', 'text-to-vi... | 2024-01-04 | [('promptslab/promptify', 0.7121634483337402, 'nlp', 8), ('microsoft/generative-ai-for-beginners', 0.6337803602218628, 'study', 4), ('bigscience-workshop/promptsource', 0.5903843641281128, 'nlp', 1), ('hegelai/prompttools', 0.5741844773292542, 'llm', 3), ('saharmor/dalle-playground', 0.5731377005577087, 'diffusion', 3)... | 13 | 8 | null | 2.08 | 3 | 3 | 11 | 0 | 0 | 0 | 0 | 3 | 0 | 90 | 0 | 51 |
1,254 | ml | https://github.com/huggingface/autotrain-advanced | [] | AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models | [] | [] | null | null | null | huggingface/autotrain-advanced | autotrain-advanced | 2,629 | 309 | 66 | Python | https://huggingface.co/autotrain | 🤗 AutoTrain Advanced | huggingface | 2024-01-13 | 2020-12-15 | 163 | 16.128834 | https://avatars.githubusercontent.com/u/25720743?v=4 | 🤗 AutoTrain Advanced | ['autotrain', 'deep-learning', 'huggingface', 'machine-learning', 'natural-language-processing', 'natural-language-understanding'] | ['autotrain', 'deep-learning', 'huggingface', 'machine-learning', 'natural-language-processing', 'natural-language-understanding'] | 2023-12-28 | [('awslabs/autogluon', 0.6629055142402649, 'ml', 3), ('winedarksea/autots', 0.6144011616706848, 'time-series', 2), ('keras-team/autokeras', 0.613167405128479, 'ml-dl', 2), ('nccr-itmo/fedot', 0.5916618704795837, 'ml-ops', 1), ('mosaicml/composer', 0.5858451724052429, 'ml-dl', 2), ('microsoft/nni', 0.5753588080406189, '... | 19 | 4 | null | 7.81 | 255 | 236 | 37 | 1 | 0 | 0 | 0 | 255 | 618 | 90 | 2.4 | 51 |
1,553 | util | https://github.com/beeware/briefcase | ['package', 'python-to-exe', 'bundle'] | null | [] | [] | null | null | null | beeware/briefcase | briefcase | 2,206 | 310 | 45 | Python | https://briefcase.readthedocs.io/ | Tools to support converting a Python project into a standalone native application. | beeware | 2024-01-12 | 2015-07-28 | 444 | 4.968468 | https://avatars.githubusercontent.com/u/19795701?v=4 | Tools to support converting a Python project into a standalone native application. | [] | ['bundle', 'package', 'python-to-exe'] | 2024-01-14 | [('pyinstaller/pyinstaller', 0.6962027549743652, 'util', 3), ('ofek/pyapp', 0.6602802276611328, 'util', 1), ('indygreg/pyoxidizer', 0.6296486258506775, 'util', 0), ('pypa/hatch', 0.6087289452552795, 'util', 0), ('beeware/toga', 0.5662544965744019, 'gui', 0), ('pyodide/micropip', 0.561262845993042, 'util', 0), ('pypa/pi... | 135 | 7 | null | 18.13 | 113 | 90 | 103 | 0 | 5 | 7 | 5 | 113 | 198 | 90 | 1.8 | 51 |
1,160 | jupyter | https://github.com/mito-ds/monorepo | [] | null | [] | [] | null | null | null | mito-ds/monorepo | mito | 2,096 | 143 | 22 | Python | https://trymito.io | The mitosheet package, trymito.io, and other public Mito code. | mito-ds | 2024-01-12 | 2022-01-20 | 105 | 19.827027 | https://avatars.githubusercontent.com/u/55325926?v=4 | The mitosheet package, trymito.io, and other public Mito code. | ['data', 'data-analysis', 'data-science', 'data-visualization', 'jupyter', 'pandas', 'streamlit-component'] | ['data', 'data-analysis', 'data-science', 'data-visualization', 'jupyter', 'pandas', 'streamlit-component'] | 2024-01-09 | [('holoviz/panel', 0.5779578685760498, 'viz', 1), ('saulpw/visidata', 0.5757395625114441, 'term', 1), ('polyaxon/datatile', 0.5668829083442688, 'pandas', 3), ('ta-lib/ta-lib-python', 0.5616872906684875, 'finance', 0), ('vaexio/vaex', 0.5610413551330566, 'perf', 1), ('rapidsai/cudf', 0.5557620525360107, 'pandas', 3), ('... | 7 | 2 | null | 42.33 | 272 | 214 | 24 | 0 | 0 | 0 | 0 | 272 | 366 | 90 | 1.3 | 51 |
316 | gamedev | https://github.com/pyglet/pyglet | [] | null | [] | [] | null | null | null | pyglet/pyglet | pyglet | 1,675 | 282 | 31 | Python | http://pyglet.org | pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications. | pyglet | 2024-01-13 | 2019-06-09 | 242 | 6.913325 | https://avatars.githubusercontent.com/u/51539834?v=4 | pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications. | ['gamedev', 'opengl', 'pyglet', 'scientific-visualization'] | ['gamedev', 'opengl', 'pyglet', 'scientific-visualization'] | 2024-01-13 | [('pygame/pygame', 0.717469334602356, 'gamedev', 1), ('hoffstadt/dearpygui', 0.6631710529327393, 'gui', 0), ('pypy/pypy', 0.6459312438964844, 'util', 0), ('pysimplegui/pysimplegui', 0.624721884727478, 'gui', 0), ('python/cpython', 0.5984718799591064, 'util', 0), ('pygamelib/pygamelib', 0.5976749062538147, 'gamedev', 1)... | 156 | 4 | null | 5 | 92 | 69 | 56 | 0 | 8 | 13 | 8 | 92 | 193 | 90 | 2.1 | 51 |
1,563 | llm | https://github.com/ray-project/llm-applications | ['rag'] | null | [] | [] | null | null | null | ray-project/llm-applications | llm-applications | 1,207 | 135 | 14 | Jupyter Notebook | null | A comprehensive guide to building RAG-based LLM applications for production. | ray-project | 2024-01-13 | 2023-08-16 | 23 | 50.592814 | https://avatars.githubusercontent.com/u/22125274?v=4 | A comprehensive guide to building RAG-based LLM applications for production. | ['anyscale', 'fine-tuning', 'llama2', 'llms', 'machine-learning', 'openai', 'ray', 'serving'] | ['anyscale', 'fine-tuning', 'llama2', 'llms', 'machine-learning', 'openai', 'rag', 'ray', 'serving'] | 2024-01-08 | [('alpha-vllm/llama2-accessory', 0.6254207491874695, 'llm', 1), ('bentoml/openllm', 0.6087220311164856, 'ml-ops', 2), ('tigerlab-ai/tiger', 0.6013271808624268, 'llm', 2), ('h2oai/h2o-llmstudio', 0.5635949373245239, 'llm', 2), ('run-llama/llama-hub', 0.5521401166915894, 'data', 0), ('eugeneyan/open-llms', 0.546495676040... | 4 | 3 | null | 1.33 | 28 | 21 | 5 | 0 | 8 | 22 | 8 | 28 | 5 | 90 | 0.2 | 51 |
1,763 | data | https://github.com/dlt-hub/dlt | ['duckdb', 'data-engineering'] | null | [] | [] | null | null | null | dlt-hub/dlt | dlt | 1,028 | 71 | 14 | Python | https://dlthub.com/docs | data load tool (dlt) is an open source Python library that makes data loading easy 🛠️ | dlt-hub | 2024-01-13 | 2022-01-26 | 104 | 9.803815 | https://avatars.githubusercontent.com/u/89419010?v=4 | data load tool (dlt) is an open source Python library that makes data loading easy 🛠️ | ['data', 'data-engineering', 'data-lake', 'data-loading', 'data-warehouse', 'elt', 'extract', 'load', 'transform'] | ['data', 'data-engineering', 'data-lake', 'data-loading', 'data-warehouse', 'duckdb', 'elt', 'extract', 'load', 'transform'] | 2024-01-12 | [('pandas-dev/pandas', 0.554896891117096, 'pandas', 0), ('dbt-labs/dbt-core', 0.5388659834861755, 'ml-ops', 1), ('pytables/pytables', 0.5339342355728149, 'data', 0), ('airbytehq/airbyte', 0.5255663394927979, 'data', 3), ('erotemic/ubelt', 0.5195381045341492, 'util', 0), ('holoviz/panel', 0.5181348323822021, 'viz', 0), ... | 39 | 3 | null | 28.83 | 245 | 189 | 24 | 0 | 46 | 34 | 46 | 243 | 289 | 90 | 1.2 | 51 |
864 | pandas | https://github.com/eventual-inc/daft | [] | null | [] | [] | null | null | null | eventual-inc/daft | Daft | 987 | 57 | 11 | Rust | https://getdaft.io | Distributed DataFrames for Python designed for the cloud, powered by Rust | eventual-inc | 2024-01-12 | 2022-04-25 | 92 | 10.711628 | https://avatars.githubusercontent.com/u/98941975?v=4 | Distributed DataFrames for Python designed for the cloud, powered by Rust | ['data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing', 'image-processing', 'machine-learning', 'rust'] | ['data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing', 'image-processing', 'machine-learning', 'rust'] | 2024-01-13 | [('backtick-se/cowait', 0.7438012361526489, 'util', 2), ('pola-rs/polars', 0.7005141377449036, 'pandas', 2), ('merantix-momentum/squirrel-core', 0.6807416081428528, 'ml', 3), ('fugue-project/fugue', 0.6778815388679504, 'pandas', 2), ('horovod/horovod', 0.6405372023582458, 'ml-ops', 2), ('delta-io/delta-rs', 0.602810442... | 17 | 3 | null | 17.12 | 327 | 270 | 21 | 0 | 30 | 33 | 30 | 325 | 375 | 90 | 1.2 | 51 |
624 | gis | https://github.com/pytroll/satpy | [] | null | [] | [] | null | null | null | pytroll/satpy | satpy | 978 | 277 | 35 | Python | http://satpy.readthedocs.org/en/latest/ | Python package for earth-observing satellite data processing | pytroll | 2024-01-12 | 2016-02-09 | 416 | 2.350962 | https://avatars.githubusercontent.com/u/13004956?v=4 | Python package for earth-observing satellite data processing | ['dask', 'satellite', 'weather', 'xarray'] | ['dask', 'satellite', 'weather', 'xarray'] | 2024-01-10 | [('sentinel-hub/eo-learn', 0.6639524102210999, 'gis', 0), ('scitools/iris', 0.6135034561157227, 'gis', 0), ('sentinel-hub/sentinelhub-py', 0.6114635467529297, 'gis', 0), ('radiantearth/radiant-mlhub', 0.5896352529525757, 'gis', 0), ('cloudsen12/easystac', 0.5563086271286011, 'gis', 0), ('opengeos/earthformer', 0.517888... | 149 | 7 | null | 28.92 | 152 | 90 | 96 | 0 | 11 | 12 | 11 | 152 | 631 | 90 | 4.2 | 51 |
1,737 | llm | https://github.com/akariasai/self-rag | ['rag', 'retrieval'] | null | [] | [] | null | null | null | akariasai/self-rag | self-rag | 946 | 66 | 9 | Python | https://selfrag.github.io/ | This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. | akariasai | 2024-01-13 | 2023-10-10 | 16 | 59.125 | null | This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. | [] | ['rag', 'retrieval'] | 2023-12-22 | [] | 7 | 2 | null | 0.54 | 35 | 24 | 3 | 1 | 0 | 0 | 0 | 35 | 107 | 90 | 3.1 | 51 |
805 | nlp | https://github.com/gunthercox/chatterbot | [] | null | [] | [] | null | null | null | gunthercox/chatterbot | ChatterBot | 13,767 | 4,453 | 553 | Python | https://chatterbot.readthedocs.io | ChatterBot is a machine learning, conversational dialog engine for creating chat bots | gunthercox | 2024-01-13 | 2014-09-28 | 487 | 28.252419 | null | ChatterBot is a machine learning, conversational dialog engine for creating chat bots | ['bot', 'chatbot', 'chatterbot', 'conversation', 'language', 'machine-learning'] | ['bot', 'chatbot', 'chatterbot', 'conversation', 'language', 'machine-learning'] | 2021-06-01 | [('togethercomputer/openchatkit', 0.6964467167854309, 'nlp', 1), ('rasahq/rasa', 0.6935678720474243, 'llm', 3), ('deeppavlov/deeppavlov', 0.6284914016723633, 'nlp', 3), ('rcgai/simplyretrieve', 0.5998932123184204, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.5911657214164734, 'nlp', 2), ('nomic-ai/gpt4all', 0.58977109... | 103 | 5 | null | 0 | 24 | 1 | 113 | 32 | 0 | 9 | 9 | 24 | 23 | 90 | 1 | 50 |
676 | diffusion | https://github.com/compvis/latent-diffusion | ['diffusion', 'image-generation'] | null | [] | [] | null | null | null | compvis/latent-diffusion | latent-diffusion | 9,627 | 1,286 | 89 | Jupyter Notebook | null | High-Resolution Image Synthesis with Latent Diffusion Models | compvis | 2024-01-14 | 2021-12-20 | 110 | 87.404669 | https://avatars.githubusercontent.com/u/30233788?v=4 | High-Resolution Image Synthesis with Latent Diffusion Models | [] | ['diffusion', 'image-generation'] | 2022-07-26 | [('stability-ai/stablediffusion', 1.0000004768371582, 'diffusion', 2), ('albarji/mixture-of-diffusers', 0.6906744837760925, 'diffusion', 0), ('compvis/stable-diffusion', 0.655044674873352, 'diffusion', 2), ('openai/glide-text2im', 0.6436025500297546, 'diffusion', 0), ('huggingface/diffusers', 0.6299404501914978, 'diffu... | 5 | 1 | null | 0 | 67 | 13 | 25 | 18 | 0 | 0 | 0 | 67 | 147 | 90 | 2.2 | 50 |
135 | ml-dl | https://github.com/keras-team/autokeras | [] | null | [] | [] | null | null | null | keras-team/autokeras | autokeras | 9,016 | 1,419 | 303 | Python | http://autokeras.com/ | AutoML library for deep learning | keras-team | 2024-01-13 | 2017-11-19 | 323 | 27.888643 | https://avatars.githubusercontent.com/u/34455048?v=4 | AutoML library for deep learning | ['autodl', 'automated-machine-learning', 'automl', 'deep-learning', 'keras', 'machine-learning', 'neural-architecture-search', 'tensorflow'] | ['autodl', 'automated-machine-learning', 'automl', 'deep-learning', 'keras', 'machine-learning', 'neural-architecture-search', 'tensorflow'] | 2023-10-02 | [('microsoft/nni', 0.8086925148963928, 'ml', 6), ('awslabs/autogluon', 0.7593497633934021, 'ml', 4), ('microsoft/flaml', 0.7519674897193909, 'ml', 4), ('rafiqhasan/auto-tensorflow', 0.6616485714912415, 'ml-dl', 3), ('mljar/mljar-supervised', 0.6605311036109924, 'ml', 3), ('winedarksea/autots', 0.6600058078765869, 'time... | 143 | 4 | null | 0.37 | 5 | 0 | 75 | 3 | 1 | 9 | 1 | 5 | 7 | 90 | 1.4 | 50 |
942 | web | https://github.com/bottlepy/bottle | [] | null | [] | [] | null | null | null | bottlepy/bottle | bottle | 8,217 | 1,471 | 312 | Python | http://bottlepy.org/ | bottle.py is a fast and simple micro-framework for python web-applications. | bottlepy | 2024-01-13 | 2009-06-30 | 761 | 10.797635 | https://avatars.githubusercontent.com/u/1019799?v=4 | bottle.py is a fast and simple micro-framework for python web-applications. | ['bottle', 'rest', 'web-framework', 'wsgi'] | ['bottle', 'rest', 'web-framework', 'wsgi'] | 2024-01-03 | [('pallets/flask', 0.8060166835784912, 'web', 2), ('webpy/webpy', 0.7816590070724487, 'web', 0), ('pylons/pyramid', 0.7196846008300781, 'web', 2), ('cherrypy/cherrypy', 0.6888998746871948, 'web', 0), ('pallets/werkzeug', 0.6876417994499207, 'web', 1), ('masoniteframework/masonite', 0.6854233741760254, 'web', 0), ('falc... | 226 | 8 | null | 0.02 | 12 | 6 | 177 | 5 | 0 | 6 | 6 | 12 | 27 | 90 | 2.2 | 50 |
96 | perf | https://github.com/vaexio/vaex | [] | null | [] | [] | null | null | null | vaexio/vaex | vaex | 8,106 | 590 | 145 | Python | https://vaex.io | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 | vaexio | 2024-01-14 | 2014-09-27 | 487 | 16.630129 | https://avatars.githubusercontent.com/u/45720408?v=4 | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 | ['bigdata', 'data-science', 'dataframe', 'hdf5', 'machine-learning', 'machinelearning', 'memory-mapped-file', 'pyarrow', 'tabular-data', 'visualization'] | ['bigdata', 'data-science', 'dataframe', 'hdf5', 'machine-learning', 'machinelearning', 'memory-mapped-file', 'pyarrow', 'tabular-data', 'visualization'] | 2023-07-21 | [('apache/arrow', 0.6739583611488342, 'data', 0), ('blaze/blaze', 0.6084710359573364, 'pandas', 0), ('ibis-project/ibis', 0.6082955598831177, 'data', 1), ('man-group/dtale', 0.6020064353942871, 'viz', 2), ('pytables/pytables', 0.6015515923500061, 'data', 0), ('holoviz/panel', 0.5968863368034363, 'viz', 0), ('pyqtgraph/... | 72 | 6 | null | 0.52 | 19 | 2 | 113 | 6 | 0 | 40 | 40 | 19 | 23 | 90 | 1.2 | 50 |
321 | web | https://github.com/graphql-python/graphene | [] | null | [] | [] | null | null | null | graphql-python/graphene | graphene | 7,884 | 871 | 141 | Python | http://graphene-python.org/ | GraphQL framework for Python | graphql-python | 2024-01-14 | 2015-09-24 | 435 | 18.094426 | https://avatars.githubusercontent.com/u/15002022?v=4 | GraphQL framework for Python | ['framework', 'graphene', 'graphql', 'relay'] | ['framework', 'graphene', 'graphql', 'relay'] | 2023-10-06 | [('pygraphviz/pygraphviz', 0.5481510162353516, 'viz', 0), ('accenture/cymple', 0.5159372091293335, 'data', 0), ('westhealth/pyvis', 0.5054649114608765, 'graph', 0), ('pydot/pydot', 0.5014999508857727, 'viz', 0)] | 207 | 6 | null | 0.37 | 15 | 7 | 101 | 3 | 2 | 7 | 2 | 15 | 15 | 90 | 1 | 50 |
154 | util | https://github.com/marshmallow-code/marshmallow | [] | null | [] | [] | null | null | null | marshmallow-code/marshmallow | marshmallow | 6,778 | 640 | 82 | Python | https://marshmallow.readthedocs.io/ | A lightweight library for converting complex objects to and from simple Python datatypes. | marshmallow-code | 2024-01-13 | 2013-11-10 | 533 | 12.709885 | https://avatars.githubusercontent.com/u/10334301?v=4 | A lightweight library for converting complex objects to and from simple Python datatypes. | ['deserialization', 'marshalling', 'schema', 'serde', 'serialization', 'validation'] | ['deserialization', 'marshalling', 'schema', 'serde', 'serialization', 'validation'] | 2024-01-10 | [('pyeve/cerberus', 0.6555448174476624, 'data', 0), ('python-odin/odin', 0.6529213190078735, 'util', 1), ('pylons/colander', 0.6454058885574341, 'util', 3), ('yukinarit/pyserde', 0.6370522379875183, 'util', 2), ('jsonpickle/jsonpickle', 0.6203814744949341, 'data', 2), ('pydantic/pydantic', 0.606956422328949, 'util', 2)... | 208 | 1 | null | 2.23 | 43 | 33 | 124 | 0 | 0 | 17 | 17 | 43 | 30 | 90 | 0.7 | 50 |
508 | ml | https://github.com/google/automl | [] | null | [] | [] | null | null | null | google/automl | automl | 6,083 | 1,464 | 156 | Jupyter Notebook | null | Google Brain AutoML | google | 2024-01-13 | 2020-03-12 | 202 | 30.007752 | https://avatars.githubusercontent.com/u/1342004?v=4 | Google Brain AutoML | ['automl', 'efficientdet', 'efficientnet', 'efficientnetv2', 'object-detection'] | ['automl', 'efficientdet', 'efficientnet', 'efficientnetv2', 'object-detection'] | 2023-12-14 | [('rwightman/pytorch-image-models', 0.5850779414176941, 'ml-dl', 1), ('nvlabs/gcvit', 0.5431532859802246, 'diffusion', 1), ('keras-team/autokeras', 0.5386403799057007, 'ml-dl', 1), ('blakeblackshear/frigate', 0.5250091552734375, 'util', 1), ('deepmind/deepmind-research', 0.5214808583259583, 'ml', 0), ('deci-ai/super-gr... | 42 | 4 | null | 0.38 | 14 | 6 | 47 | 1 | 0 | 1 | 1 | 14 | 11 | 90 | 0.8 | 50 |
300 | data | https://github.com/kaggle/kaggle-api | [] | null | [] | [] | null | null | null | kaggle/kaggle-api | kaggle-api | 5,734 | 1,050 | 194 | Python | null | Official Kaggle API | kaggle | 2024-01-14 | 2018-01-25 | 313 | 18.277778 | https://avatars.githubusercontent.com/u/1336944?v=4 | Official Kaggle API | [] | [] | 2024-01-08 | [] | 37 | 2 | null | 0.15 | 40 | 17 | 73 | 0 | 5 | 1 | 5 | 40 | 52 | 90 | 1.3 | 50 |
308 | crypto | https://github.com/crytic/slither | [] | null | [] | [] | null | null | null | crytic/slither | slither | 4,790 | 894 | 68 | Python | https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/ | Static Analyzer for Solidity and Vyper | crytic | 2024-01-13 | 2018-09-05 | 281 | 16.994425 | https://avatars.githubusercontent.com/u/48330002?v=4 | Static Analyzer for Solidity and Vyper | ['ethereum', 'solidity', 'static-analysis', 'vyper'] | ['ethereum', 'solidity', 'static-analysis', 'vyper'] | 2023-10-18 | [('google/pytype', 0.6767980456352234, 'typing', 1), ('instagram/monkeytype', 0.5720254182815552, 'typing', 0), ('astral-sh/ruff', 0.5403991937637329, 'util', 1)] | 126 | 1 | null | 12.58 | 132 | 61 | 65 | 3 | 5 | 7 | 5 | 132 | 119 | 90 | 0.9 | 50 |
1,670 | testing | https://github.com/getsentry/responses | ['mocking', 'requests'] | null | [] | [] | null | null | null | getsentry/responses | responses | 3,994 | 339 | 91 | Python | null | A utility for mocking out the Python Requests library. | getsentry | 2024-01-13 | 2013-11-15 | 532 | 7.499464 | https://avatars.githubusercontent.com/u/1396951?v=4 | A utility for mocking out the Python Requests library. | ['tag-production'] | ['mocking', 'requests', 'tag-production'] | 2024-01-10 | [('jamielennox/requests-mock', 0.7649958729743958, 'testing', 1), ('requests/toolbelt', 0.7001904249191284, 'util', 0), ('wolever/parameterized', 0.6193545460700989, 'testing', 0), ('psf/requests', 0.6119535565376282, 'web', 1), ('lundberg/respx', 0.5848559737205505, 'testing', 1), ('nedbat/coveragepy', 0.5841493606567... | 124 | 5 | null | 0.92 | 27 | 23 | 124 | 0 | 6 | 5 | 6 | 27 | 60 | 90 | 2.2 | 50 |
320 | gui | https://github.com/r0x0r/pywebview | [] | null | [] | [] | null | null | null | r0x0r/pywebview | pywebview | 3,981 | 507 | 62 | Python | https://pywebview.flowrl.com | Build GUI for your Python program with JavaScript, HTML, and CSS | r0x0r | 2024-01-13 | 2014-11-20 | 479 | 8.29869 | null | Build GUI for your Python program with JavaScript, HTML, and CSS | ['cef', 'cocoa', 'gtk', 'gui', 'html', 'javascript', 'linux', 'osx', 'qt', 'webkit', 'windows'] | ['cef', 'cocoa', 'gtk', 'gui', 'html', 'javascript', 'linux', 'osx', 'qt', 'webkit', 'windows'] | 2023-12-10 | [('willmcgugan/textual', 0.6927530765533447, 'term', 0), ('parthjadhav/tkinter-designer', 0.6899272799491882, 'gui', 1), ('kivy/kivy', 0.6854493618011475, 'util', 2), ('hoffstadt/dearpygui', 0.6651965379714966, 'gui', 3), ('beeware/toga', 0.6624377965927124, 'gui', 1), ('pallets/flask', 0.6464259624481201, 'web', 0), (... | 123 | 2 | null | 3.92 | 72 | 56 | 111 | 1 | 13 | 7 | 13 | 72 | 148 | 90 | 2.1 | 50 |
100 | ml | https://github.com/skvark/opencv-python | [] | null | [] | [] | null | null | null | skvark/opencv-python | opencv-python | 3,923 | 812 | 86 | Python | https://pypi.org/project/opencv-python/ | Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages. | skvark | 2024-01-14 | 2016-04-08 | 407 | 9.625307 | https://avatars.githubusercontent.com/u/5009934?v=4 | Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages. | ['manylinux', 'opencv', 'opencv-contrib-python', 'opencv-python', 'precompiled', 'wheel'] | ['manylinux', 'opencv', 'opencv-contrib-python', 'opencv-python', 'precompiled', 'wheel'] | 2023-12-31 | [('pypa/pipenv', 0.5230939984321594, 'util', 0)] | 48 | 5 | null | 0.69 | 77 | 50 | 95 | 0 | 6 | 9 | 6 | 77 | 113 | 90 | 1.5 | 50 |
742 | diffusion | https://github.com/nateraw/stable-diffusion-videos | [] | null | [] | [] | null | null | null | nateraw/stable-diffusion-videos | stable-diffusion-videos | 3,917 | 373 | 53 | Python | null | Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts | nateraw | 2024-01-13 | 2022-09-06 | 73 | 53.657534 | null | Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts | ['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion'] | ['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion'] | 2023-05-07 | [('saharmor/dalle-playground', 0.671584963798523, 'diffusion', 2), ('compvis/stable-diffusion', 0.6355494856834412, 'diffusion', 0), ('carson-katri/dream-textures', 0.6127192378044128, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.6116631627082825, 'diffusion', 2), ('jina-ai/discoart', 0.5996933579444885,... | 14 | 5 | null | 0.33 | 8 | 1 | 16 | 8 | 1 | 13 | 1 | 8 | 10 | 90 | 1.2 | 50 |
1,791 | util | https://github.com/bogdanp/dramatiq | [] | null | [] | [] | null | null | null | bogdanp/dramatiq | dramatiq | 3,884 | 277 | 63 | Python | https://dramatiq.io | A fast and reliable background task processing library for Python 3. | bogdanp | 2024-01-13 | 2017-05-30 | 348 | 11.16092 | null | A fast and reliable background task processing library for Python 3. | ['distributed-lock', 'rabbit', 'redis', 'task', 'task-manager', 'task-runner', 'task-scheduler'] | ['distributed-lock', 'rabbit', 'redis', 'task', 'task-manager', 'task-runner', 'task-scheduler'] | 2024-01-13 | [('agronholm/apscheduler', 0.6053295135498047, 'util', 0), ('samuelcolvin/arq', 0.5857503414154053, 'data', 1), ('mher/flower', 0.5586143732070923, 'perf', 1), ('joblib/loky', 0.5552358031272888, 'perf', 0), ('airtai/faststream', 0.5551525354385376, 'perf', 1), ('tox-dev/py-filelock', 0.5492278337478638, 'util', 0), ('... | 100 | 6 | null | 1.15 | 29 | 14 | 81 | 0 | 4 | 10 | 4 | 29 | 39 | 90 | 1.3 | 50 |
1,291 | llm | https://github.com/ravenscroftj/turbopilot | [] | null | [] | [] | null | null | null | ravenscroftj/turbopilot | turbopilot | 3,842 | 133 | 43 | C++ | null | Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU | ravenscroftj | 2024-01-12 | 2023-04-09 | 42 | 90.858108 | null | Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU | ['code-completion', 'cpp', 'language-model', 'machine-learning'] | ['code-completion', 'cpp', 'language-model', 'machine-learning'] | 2023-09-30 | [('databrickslabs/dolly', 0.5751809477806091, 'llm', 0), ('modularml/mojo', 0.5523777604103088, 'util', 1), ('salesforce/codegen', 0.5407807230949402, 'nlp', 0), ('lianjiatech/belle', 0.5382049083709717, 'llm', 0), ('microsoft/pycodegpt', 0.524189293384552, 'llm', 0), ('salesforce/codet5', 0.5119407773017883, 'nlp', 1)... | 7 | 1 | null | 5.13 | 1 | 1 | 9 | 4 | 7 | 11 | 7 | 1 | 0 | 90 | 0 | 50 |
889 | viz | https://github.com/has2k1/plotnine | [] | null | [] | [] | null | null | null | has2k1/plotnine | plotnine | 3,682 | 207 | 65 | Python | https://plotnine.org | A Grammar of Graphics for Python | has2k1 | 2024-01-13 | 2017-04-24 | 353 | 10.426375 | null | A Grammar of Graphics for Python | ['data-analysis', 'grammar', 'graphics', 'plotting'] | ['data-analysis', 'grammar', 'graphics', 'plotting'] | 2024-01-12 | [('altair-viz/altair', 0.6832043528556824, 'viz', 0), ('matplotlib/matplotlib', 0.6249548196792603, 'viz', 1), ('holoviz/holoviz', 0.6090349555015564, 'viz', 0), ('plotly/plotly.py', 0.6062517762184143, 'viz', 0), ('mwaskom/seaborn', 0.6059504747390747, 'viz', 0), ('holoviz/geoviews', 0.6033970713615417, 'gis', 1), ('r... | 105 | 3 | null | 5.33 | 31 | 25 | 82 | 0 | 4 | 3 | 4 | 31 | 40 | 90 | 1.3 | 50 |
553 | jupyter | https://github.com/executablebooks/jupyter-book | [] | null | [] | [] | null | null | null | executablebooks/jupyter-book | jupyter-book | 3,592 | 649 | 63 | Python | http://jupyterbook.org | Create beautiful, publication-quality books and documents from computational content. | executablebooks | 2024-01-13 | 2018-06-14 | 293 | 12.229572 | https://avatars.githubusercontent.com/u/57655115?v=4 | Create beautiful, publication-quality books and documents from computational content. | ['documentation-generator', 'jupyter', 'sphinx-doc'] | ['documentation-generator', 'jupyter', 'sphinx-doc'] | 2023-12-05 | [('sphinx-doc/sphinx', 0.753897488117218, 'util', 0), ('mediawiki-client-tools/mediawiki-dump-generator', 0.535974383354187, 'data', 0), ('mitmproxy/pdoc', 0.5281922817230225, 'util', 1), ('squidfunk/mkdocs-material', 0.5147403478622437, 'util', 0)] | 134 | 5 | null | 0.81 | 66 | 24 | 68 | 1 | 4 | 8 | 4 | 66 | 96 | 90 | 1.5 | 50 |
1,603 | llm | https://github.com/1rgs/jsonformer | ['prompt-engineering', 'json'] | null | [] | [] | null | null | null | 1rgs/jsonformer | jsonformer | 3,448 | 109 | 19 | Jupyter Notebook | null | A Bulletproof Way to Generate Structured JSON from Language Models | 1rgs | 2024-01-13 | 2023-04-29 | 39 | 87.449275 | null | A Bulletproof Way to Generate Structured JSON from Language Models | [] | ['json', 'prompt-engineering'] | 2023-05-30 | [('neulab/prompt2model', 0.6683309674263, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5909636616706848, 'llm', 1), ('brokenloop/jsontopydantic', 0.5837192535400391, 'util', 0), ('guidance-ai/guidance', 0.5747532248497009, 'llm', 1), ('srush/minichain', 0.5634762644767761, 'llm', 1), ('hazyresearch/ama_prompting', ... | 6 | 4 | null | 0.69 | 8 | 0 | 9 | 8 | 0 | 0 | 0 | 8 | 8 | 90 | 1 | 50 |
1,564 | llm | https://github.com/deep-diver/llm-as-chatbot | ['chatbot'] | null | [] | [] | null | null | null | deep-diver/llm-as-chatbot | LLM-As-Chatbot | 3,161 | 392 | 50 | Python | null | LLM as a Chatbot Service | deep-diver | 2024-01-12 | 2023-02-27 | 48 | 65.658754 | null | LLM as a Chatbot Service | [] | ['chatbot'] | 2023-11-20 | [('nomic-ai/gpt4all', 0.7740846276283264, 'llm', 1), ('pathwaycom/llm-app', 0.6957004070281982, 'llm', 1), ('hwchase17/langchain', 0.6912153363227844, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6634297966957092, 'perf', 1), ('embedchain/embedchain', 0.6422813534736633, 'llm', 0), ('deepset-ai/haystack', 0.... | 7 | 4 | null | 6.19 | 2 | 0 | 11 | 2 | 0 | 0 | 0 | 2 | 1 | 90 | 0.5 | 50 |
899 | ml | https://github.com/rucaibox/recbole | [] | null | [] | [] | null | null | null | rucaibox/recbole | RecBole | 3,022 | 562 | 40 | Python | https://recbole.io/ | A unified, comprehensive and efficient recommendation library | rucaibox | 2024-01-13 | 2020-06-11 | 189 | 15.929217 | https://avatars.githubusercontent.com/u/54706620?v=4 | A unified, comprehensive and efficient recommendation library | ['collaborative-filtering', 'ctr-prediction', 'deep-learning', 'graph-neural-networks', 'knowledge-graph', 'pytorch', 'recommendation-system', 'recommendations', 'recommender', 'recommender-systems', 'sequential-recommendation'] | ['collaborative-filtering', 'ctr-prediction', 'deep-learning', 'graph-neural-networks', 'knowledge-graph', 'pytorch', 'recommendation-system', 'recommendations', 'recommender', 'recommender-systems', 'sequential-recommendation'] | 2023-11-25 | [('pytorch/torchrec', 0.7371825575828552, 'ml-dl', 3), ('microsoft/recommenders', 0.5956623554229736, 'study', 3), ('nicolashug/surprise', 0.5934752821922302, 'ml', 1), ('pyg-team/pytorch_geometric', 0.566724419593811, 'ml-dl', 3), ('tensorlayer/tensorlayer', 0.5453563928604126, 'ml-rl', 1), ('a-r-j/graphein', 0.530132... | 70 | 5 | null | 2.96 | 86 | 35 | 44 | 2 | 1 | 2 | 1 | 86 | 136 | 90 | 1.6 | 50 |
822 | study | https://github.com/huggingface/diffusion-models-class | [] | null | [] | [] | null | null | null | huggingface/diffusion-models-class | diffusion-models-class | 2,931 | 309 | 71 | Jupyter Notebook | null | Materials for the Hugging Face Diffusion Models Course | huggingface | 2024-01-14 | 2022-10-13 | 67 | 43.28481 | https://avatars.githubusercontent.com/u/25720743?v=4 | Materials for the Hugging Face Diffusion Models Course | [] | [] | 2023-12-18 | [('huggingface/notebooks', 0.5564571619033813, 'ml', 0), ('huggingface/deep-rl-class', 0.551882803440094, 'study', 0)] | 20 | 5 | null | 0.62 | 10 | 7 | 15 | 1 | 0 | 0 | 0 | 10 | 9 | 90 | 0.9 | 50 |
1,362 | util | https://github.com/pyo3/maturin | ['rust'] | null | [] | [] | null | null | null | pyo3/maturin | maturin | 2,916 | 195 | 24 | Rust | https://maturin.rs | Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages | pyo3 | 2024-01-14 | 2018-07-21 | 288 | 10.109955 | https://avatars.githubusercontent.com/u/28156855?v=4 | Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages | ['cffi', 'cpython', 'cross-compile', 'manylinux', 'packaging', 'pyo3', 'pypy', 'rust-cpython', 'uniffi', 'wheels'] | ['cffi', 'cpython', 'cross-compile', 'manylinux', 'packaging', 'pyo3', 'pypy', 'rust', 'rust-cpython', 'uniffi', 'wheels'] | 2024-01-10 | [('pyo3/rust-numpy', 0.654156506061554, 'util', 1), ('pyo3/pyo3', 0.6540318131446838, 'util', 1), ('scikit-build/scikit-build', 0.6356386542320251, 'ml', 3), ('rustpython/rustpython', 0.6316028237342834, 'util', 1), ('pypa/installer', 0.6027328372001648, 'util', 0), ('pypy/pypy', 0.5836184024810791, 'util', 1), ('ofek/... | 102 | 1 | null | 7.62 | 121 | 103 | 67 | 0 | 29 | 52 | 29 | 121 | 171 | 90 | 1.4 | 50 |
1,294 | llm | https://github.com/microsoft/torchscale | [] | null | [] | [] | null | null | null | microsoft/torchscale | torchscale | 2,793 | 185 | 44 | Python | https://aka.ms/GeneralAI | Foundation Architecture for (M)LLMs | microsoft | 2024-01-14 | 2022-11-17 | 62 | 44.535308 | https://avatars.githubusercontent.com/u/6154722?v=4 | Foundation Architecture for (M)LLMs | ['computer-vision', 'machine-learning', 'multimodal', 'natural-language-processing', 'pretrained-language-model', 'speech-processing', 'transformer', 'translation'] | ['computer-vision', 'machine-learning', 'multimodal', 'natural-language-processing', 'pretrained-language-model', 'speech-processing', 'transformer', 'translation'] | 2023-12-27 | [('ludwig-ai/ludwig', 0.6496773958206177, 'ml-ops', 3), ('eugeneyan/open-llms', 0.633047878742218, 'study', 0), ('alpha-vllm/llama2-accessory', 0.602177619934082, 'llm', 0), ('bentoml/openllm', 0.5949733853340149, 'ml-ops', 0), ('iryna-kondr/scikit-llm', 0.5895041823387146, 'llm', 1), ('microsoft/lmops', 0.583226442337... | 16 | 3 | null | 1.04 | 32 | 19 | 14 | 1 | 0 | 0 | 0 | 32 | 38 | 90 | 1.2 | 50 |
544 | ml | https://github.com/lightly-ai/lightly | [] | null | [] | [] | null | null | null | lightly-ai/lightly | lightly | 2,654 | 233 | 26 | Python | https://docs.lightly.ai/self-supervised-learning/ | A python library for self-supervised learning on images. | lightly-ai | 2024-01-12 | 2020-10-13 | 172 | 15.430233 | https://avatars.githubusercontent.com/u/50146475?v=4 | A python library for self-supervised learning on images. | ['computer-vision', 'contrastive-learning', 'deep-learning', 'embeddings', 'machine-learning', 'pytorch', 'self-supervised-learning'] | ['computer-vision', 'contrastive-learning', 'deep-learning', 'embeddings', 'machine-learning', 'pytorch', 'self-supervised-learning'] | 2024-01-11 | [('mdbloice/augmentor', 0.7019970417022705, 'ml', 2), ('pytorch/ignite', 0.6327634453773499, 'ml-dl', 3), ('deci-ai/super-gradients', 0.610939621925354, 'ml-dl', 3), ('facebookresearch/vissl', 0.6104288101196289, 'ml', 0), ('rasbt/mlxtend', 0.6017403602600098, 'ml', 1), ('featurelabs/featuretools', 0.5864541530609131, ... | 35 | 1 | null | 4.71 | 72 | 46 | 40 | 0 | 35 | 34 | 35 | 72 | 116 | 90 | 1.6 | 50 |
1,577 | ml | https://github.com/zjunlp/deepke | ['knowledge-graph'] | null | [] | [] | null | null | null | zjunlp/deepke | DeepKE | 2,653 | 601 | 44 | Python | http://deepke.zjukg.cn/ | An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations. | zjunlp | 2024-01-14 | 2018-08-01 | 286 | 9.248506 | https://avatars.githubusercontent.com/u/41887875?v=4 | An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations. | ['attribute-extraction', 'bert', 'chinese', 'deep-learning', 'deepke', 'document-level', 'few-shot', 'information-extraction', 'kg', 'knowledge-graph', 'knowprompt', 'lightner', 'low-resource', 'multi-modal', 'named-entity-recognition', 'ner', 'nlp', 'prompt', 'pytorch', 'relation-extraction'] | ['attribute-extraction', 'bert', 'chinese', 'deep-learning', 'deepke', 'document-level', 'few-shot', 'information-extraction', 'kg', 'knowledge-graph', 'knowprompt', 'lightner', 'low-resource', 'multi-modal', 'named-entity-recognition', 'ner', 'nlp', 'prompt', 'pytorch', 'relation-extraction'] | 2024-01-10 | [('accenture/ampligraph', 0.593433678150177, 'data', 1), ('dylanhogg/llmgraph', 0.5825223922729492, 'ml', 1), ('microsoft/vert-papers', 0.5728095769882202, 'nlp', 3), ('awslabs/dgl-ke', 0.5722960233688354, 'ml', 1), ('babelscape/rebel', 0.5535876154899597, 'nlp', 2), ('alibaba/easynlp', 0.5432515144348145, 'nlp', 4), (... | 31 | 1 | null | 11.06 | 54 | 53 | 66 | 0 | 5 | 3 | 5 | 54 | 190 | 90 | 3.5 | 50 |
1,755 | util | https://github.com/pantsbuild/pex | ['executable', 'venv'] | null | [] | [] | null | null | null | pantsbuild/pex | pex | 2,411 | 247 | 56 | Python | https://pex.readthedocs.io | A tool for generating .pex (Python EXecutable) files, lock files and venvs. | pantsbuild | 2024-01-13 | 2014-07-21 | 497 | 4.849713 | https://avatars.githubusercontent.com/u/3065172?v=4 | A tool for generating .pex (Python EXecutable) files, lock files and venvs. | [] | ['executable', 'venv'] | 2024-01-14 | [('pypa/virtualenv', 0.5755523443222046, 'util', 1), ('tox-dev/py-filelock', 0.5669477581977844, 'util', 0), ('pyenv/pyenv', 0.5503339171409607, 'util', 1), ('pypa/pipenv', 0.5425669550895691, 'util', 1), ('pypa/pipx', 0.5113623738288879, 'util', 1)] | 119 | 6 | null | 2.67 | 61 | 50 | 115 | 0 | 37 | 25 | 37 | 61 | 142 | 90 | 2.3 | 50 |
1,189 | diffusion | https://github.com/stability-ai/stability-sdk | [] | null | [] | [] | null | null | null | stability-ai/stability-sdk | stability-sdk | 2,381 | 336 | 60 | Jupyter Notebook | https://platform.stability.ai/ | SDK for interacting with stability.ai APIs (e.g. stable diffusion inference) | stability-ai | 2024-01-12 | 2022-08-22 | 75 | 31.686312 | https://avatars.githubusercontent.com/u/100950301?v=4 | SDK for interacting with stability.ai APIs (e.g. stable diffusion inference) | ['ai-art', 'generative-art', 'latent-diffusion', 'multimodal', 'stable-diffusion'] | ['ai-art', 'generative-art', 'latent-diffusion', 'multimodal', 'stable-diffusion'] | 2023-11-20 | [('carson-katri/dream-textures', 0.7153577208518982, 'diffusion', 1), ('bentoml/onediffusion', 0.6665179133415222, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.6460036039352417, 'diffusion', 2), ('comfyanonymous/comfyui', 0.6112304925918579, 'diffusion', 1), ('invoke-ai/invokeai', 0.5937549471855164, 'di... | 16 | 2 | null | 0.42 | 15 | 6 | 17 | 2 | 11 | 18 | 11 | 15 | 28 | 90 | 1.9 | 50 |
195 | ml-rl | https://github.com/pettingzoo-team/pettingzoo | [] | null | [] | [] | null | null | null | pettingzoo-team/pettingzoo | PettingZoo | 2,196 | 360 | 20 | Python | https://pettingzoo.farama.org | An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities | pettingzoo-team | 2024-01-12 | 2020-01-20 | 210 | 10.450034 | https://avatars.githubusercontent.com/u/62961550?v=4 | An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities | ['api', 'gym', 'gymnasium', 'multi-agent-reinforcement-learning', 'multiagent-reinforcement-learning', 'reinforcement-learning'] | ['api', 'gym', 'gymnasium', 'multi-agent-reinforcement-learning', 'multiagent-reinforcement-learning', 'reinforcement-learning'] | 2024-01-11 | [('farama-foundation/gymnasium', 0.947864830493927, 'ml-rl', 3), ('nvidia-omniverse/isaacgymenvs', 0.6462188959121704, 'sim', 1), ('unity-technologies/ml-agents', 0.6170148849487305, 'ml-rl', 1), ('pytorch/rl', 0.6150112748146057, 'ml-rl', 2), ('deepmind/acme', 0.578000545501709, 'ml-rl', 1), ('facebookresearch/habitat... | 105 | 2 | null | 3.52 | 44 | 39 | 48 | 0 | 6 | 10 | 6 | 44 | 96 | 90 | 2.2 | 50 |
64 | sim | https://github.com/projectmesa/mesa | [] | null | [] | [] | null | null | null | projectmesa/mesa | mesa | 2,089 | 802 | 91 | Python | null | Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors. | projectmesa | 2024-01-14 | 2014-09-19 | 488 | 4.275731 | https://avatars.githubusercontent.com/u/8754505?v=4 | Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors. | ['agent-based-modeling', 'agent-based-simulation', 'complex-systems', 'complexity-analysis', 'gis', 'mesa', 'modeling-agents', 'simulation', 'simulation-environment', 'simulation-framework', 'spatial-models'] | ['agent-based-modeling', 'agent-based-simulation', 'complex-systems', 'complexity-analysis', 'gis', 'mesa', 'modeling-agents', 'simulation', 'simulation-environment', 'simulation-framework', 'spatial-models'] | 2024-01-13 | [('google-deepmind/concordia', 0.6392713785171509, 'sim', 1), ('zacwellmer/worldmodels', 0.5980151891708374, 'ml-rl', 1), ('ljvmiranda921/seagull', 0.5834044218063354, 'sim', 1), ('operand/agency', 0.5751315355300903, 'llm', 0), ('artemyk/dynpy', 0.5512898564338684, 'sim', 0), ('crowddynamics/crowddynamics', 0.54870605... | 134 | 2 | null | 5.35 | 124 | 93 | 113 | 0 | 7 | 3 | 7 | 124 | 671 | 90 | 5.4 | 50 |
224 | sim | https://github.com/google/brax | [] | null | [] | [] | null | null | null | google/brax | brax | 1,940 | 219 | 39 | Jupyter Notebook | null | Massively parallel rigidbody physics simulation on accelerator hardware. | google | 2024-01-13 | 2021-06-02 | 138 | 13.971193 | https://avatars.githubusercontent.com/u/1342004?v=4 | Massively parallel rigidbody physics simulation on accelerator hardware. | ['jax', 'physics-simulation', 'reinforcement-learning', 'robotics'] | ['jax', 'physics-simulation', 'reinforcement-learning', 'robotics'] | 2024-01-03 | [('arise-initiative/robosuite', 0.5911247134208679, 'ml-rl', 3), ('deepmind/dm_control', 0.514367938041687, 'ml-rl', 2)] | 31 | 7 | null | 0.19 | 36 | 20 | 32 | 0 | 7 | 8 | 7 | 36 | 45 | 90 | 1.2 | 50 |
1,282 | viz | https://github.com/marcomusy/vedo | [] | null | [] | [] | null | null | null | marcomusy/vedo | vedo | 1,847 | 245 | 30 | Python | https://vedo.embl.es | A python module for scientific analysis of 3D data based on VTK and Numpy | marcomusy | 2024-01-12 | 2017-11-10 | 324 | 5.690581 | null | A python module for scientific analysis of 3D data based on VTK and Numpy | ['3d', '3d-graphics', 'dolfin', 'fenics', 'finite-elements', 'mesh', 'numpy', 'scientific-research', 'scientific-visualization', 'simulations', 'visualization', 'vtk'] | ['3d', '3d-graphics', 'dolfin', 'fenics', 'finite-elements', 'mesh', 'numpy', 'scientific-research', 'scientific-visualization', 'simulations', 'visualization', 'vtk'] | 2024-01-13 | [('enthought/mayavi', 0.742211639881134, 'viz', 2), ('pyvista/pyvista', 0.7296451330184937, 'viz', 6), ('pyqtgraph/pyqtgraph', 0.6459553241729736, 'viz', 3), ('contextlab/hypertools', 0.6358500719070435, 'ml', 1), ('numpy/numpy', 0.6334555745124817, 'math', 1), ('dfki-ric/pytransform3d', 0.6237989664077759, 'math', 1),... | 34 | 7 | null | 10.98 | 91 | 74 | 75 | 0 | 5 | 9 | 5 | 91 | 184 | 90 | 2 | 50 |
795 | util | https://github.com/open-telemetry/opentelemetry-python | [] | null | [] | [] | null | null | null | open-telemetry/opentelemetry-python | opentelemetry-python | 1,474 | 549 | 37 | Python | https://opentelemetry.io | OpenTelemetry Python API and SDK | open-telemetry | 2024-01-13 | 2019-05-07 | 247 | 5.967611 | https://avatars.githubusercontent.com/u/49998002?v=4 | OpenTelemetry Python API and SDK | ['correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'opentelemetry', 'sdk', 'tracecontext'] | ['correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'opentelemetry', 'sdk', 'tracecontext'] | 2024-01-05 | [('open-telemetry/opentelemetry-python-contrib', 0.7430706024169922, 'util', 0), ('openai/openai-python', 0.5268572568893433, 'util', 0), ('cohere-ai/cohere-python', 0.5118368864059448, 'util', 1), ('kubeflow/fairing', 0.5018121004104614, 'ml-ops', 0), ('gaogaotiantian/viztracer', 0.5011972784996033, 'profiling', 1)] | 209 | 8 | null | 2.73 | 184 | 71 | 57 | 0 | 7 | 12 | 7 | 184 | 250 | 90 | 1.4 | 50 |
1,392 | llm | https://github.com/explosion/spacy-llm | [] | null | [] | [] | null | null | null | explosion/spacy-llm | spacy-llm | 780 | 56 | 14 | Python | https://spacy.io/usage/large-language-models | 🦙 Integrating LLMs into structured NLP pipelines | explosion | 2024-01-13 | 2023-03-16 | 45 | 17.0625 | https://avatars.githubusercontent.com/u/20011530?v=4 | 🦙 Integrating LLMs into structured NLP pipelines | ['anthropic', 'claude', 'cohere', 'dolly', 'falcon', 'gpt-3', 'gpt-4', 'large-language-models', 'llama', 'llm', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'openai', 'prompt-engineering', 'spacy', 'text-classification'] | ['anthropic', 'claude', 'cohere', 'dolly', 'falcon', 'gpt-3', 'gpt-4', 'large-language-models', 'llama', 'llm', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'openai', 'prompt-engineering', 'spacy', 'text-classification'] | 2023-12-28 | [('paddlepaddle/paddlenlp', 0.691947877407074, 'llm', 3), ('argilla-io/argilla', 0.6727258563041687, 'nlp', 5), ('llmware-ai/llmware', 0.6662053465843201, 'llm', 3), ('mooler0410/llmspracticalguide', 0.6550344228744507, 'study', 3), ('infinitylogesh/mutate', 0.6443644762039185, 'nlp', 0), ('salesforce/xgen', 0.63501381... | 16 | 5 | null | 5.15 | 68 | 54 | 10 | 1 | 23 | 28 | 23 | 68 | 87 | 90 | 1.3 | 50 |
1,852 | util | https://github.com/lastmile-ai/aiconfig | ['config', 'llm'] | AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code. | [] | [] | 1 | null | null | lastmile-ai/aiconfig | aiconfig | 600 | 35 | 7 | Python | https://aiconfig.lastmileai.dev | aiconfig -- config-driven, source control friendly AI application development | lastmile-ai | 2024-01-12 | 2023-09-01 | 21 | 27.81457 | https://avatars.githubusercontent.com/u/123273171?v=4 | aiconfig -- config-driven, source control friendly AI application development | ['ai', 'developer-tools', 'generative-ai', 'llm', 'llm-ops'] | ['ai', 'config', 'developer-tools', 'generative-ai', 'llm', 'llm-ops'] | 2024-01-14 | [('microsoft/promptflow', 0.7025976181030273, 'llm', 2), ('antonosika/gpt-engineer', 0.6765998005867004, 'llm', 1), ('prefecthq/marvin', 0.6677407622337341, 'nlp', 2), ('bentoml/bentoml', 0.6600256562232971, 'ml-ops', 2), ('microsoft/lmops', 0.6332518458366394, 'llm', 1), ('cheshire-cat-ai/core', 0.6183017492294312, 'l... | 15 | 1 | null | 5.6 | 900 | 762 | 4 | 0 | 5 | 18 | 5 | 900 | 610 | 90 | 0.7 | 50 |
1,305 | study | https://github.com/christoschristofidis/awesome-deep-learning | ['awesome'] | null | [] | [] | null | null | null | christoschristofidis/awesome-deep-learning | awesome-deep-learning | 22,183 | 5,979 | 1,213 | null | null | A curated list of awesome Deep Learning tutorials, projects and communities. | christoschristofidis | 2024-01-13 | 2015-01-02 | 473 | 46.841931 | null | A curated list of awesome Deep Learning tutorials, projects and communities. | ['awesome', 'awesome-list', 'deep-learning', 'deep-learning-tutorial', 'deep-networks', 'face-images', 'machine-learning', 'neural-network', 'recurrent-networks'] | ['awesome', 'awesome-list', 'deep-learning', 'deep-learning-tutorial', 'deep-networks', 'face-images', 'machine-learning', 'neural-network', 'recurrent-networks'] | 2022-11-14 | [('dylanhogg/awesome-python', 0.6466501355171204, 'study', 4), ('mrdbourke/pytorch-deep-learning', 0.5786244869232178, 'study', 2), ('tensorflow/tensorflow', 0.5731549263000488, 'ml-dl', 3), ('rasbt/deeplearning-models', 0.5625115036964417, 'ml-dl', 0), ('nvidia/deeplearningexamples', 0.55058354139328, 'ml-dl', 1), ('g... | 147 | 7 | null | 0 | 3 | 1 | 110 | 14 | 0 | 0 | 0 | 3 | 0 | 90 | 0 | 49 |
241 | ml | https://github.com/deepmind/deepmind-research | [] | null | [] | [] | null | null | null | deepmind/deepmind-research | deepmind-research | 12,418 | 2,508 | 337 | Jupyter Notebook | null | This repository contains implementations and illustrative code to accompany DeepMind publications | deepmind | 2024-01-13 | 2019-01-15 | 263 | 47.21673 | https://avatars.githubusercontent.com/u/8596759?v=4 | This repository contains implementations and illustrative code to accompany DeepMind publications | [] | [] | 2023-06-02 | [('rasbt/machine-learning-book', 0.5797885060310364, 'study', 0), ('nvidia/deeplearningexamples', 0.5370939373970032, 'ml-dl', 0), ('deepmind/dm_control', 0.5342397689819336, 'ml-rl', 0), ('microsoft/deepspeed', 0.5327295660972595, 'ml-dl', 0), ('bigcode-project/starcoder', 0.5220165252685547, 'llm', 0), ('google/autom... | 92 | 2 | null | 0.27 | 34 | 9 | 61 | 8 | 0 | 0 | 0 | 34 | 17 | 90 | 0.5 | 49 |
167 | sim | https://github.com/bulletphysics/bullet3 | [] | null | [] | [] | null | null | null | bulletphysics/bullet3 | bullet3 | 11,488 | 2,812 | 404 | C++ | http://bulletphysics.org | Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. | bulletphysics | 2024-01-14 | 2011-04-12 | 668 | 17.197605 | https://avatars.githubusercontent.com/u/6955508?v=4 | Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. | ['computer-animation', 'game-development', 'kinematics', 'pybullet', 'reinforcement-learning', 'robotics', 'simulation', 'simulator', 'virtual-reality'] | ['computer-animation', 'game-development', 'kinematics', 'pybullet', 'reinforcement-learning', 'robotics', 'simulation', 'simulator', 'virtual-reality'] | 2023-11-28 | [('viblo/pymunk', 0.5624234080314636, 'sim', 0), ('tensorlayer/tensorlayer', 0.5209137201309204, 'ml-rl', 1), ('arise-initiative/robosuite', 0.5200599431991577, 'ml-rl', 2), ('aimhubio/aim', 0.5082801580429077, 'ml-ops', 0), ('pytorch/rl', 0.505810022354126, 'ml-rl', 2), ('facebookresearch/habitat-lab', 0.5023512840270... | 305 | 3 | null | 0.08 | 47 | 7 | 155 | 2 | 0 | 2 | 2 | 47 | 38 | 90 | 0.8 | 49 |
649 | util | https://github.com/magicstack/uvloop | [] | null | [] | [] | null | null | null | magicstack/uvloop | uvloop | 9,768 | 572 | 226 | Cython | null | Ultra fast asyncio event loop. | magicstack | 2024-01-13 | 2015-11-08 | 429 | 22.754077 | https://avatars.githubusercontent.com/u/14324950?v=4 | Ultra fast asyncio event loop. | ['async', 'async-await', 'async-python', 'asyncio', 'event-loop', 'high-performance', 'libuv', 'networking'] | ['async', 'async-await', 'async-python', 'asyncio', 'event-loop', 'high-performance', 'libuv', 'networking'] | 2023-10-22 | [('agronholm/anyio', 0.7205407619476318, 'perf', 2), ('tiangolo/asyncer', 0.6868960857391357, 'perf', 2), ('aio-libs/aiohttp', 0.6718955636024475, 'web', 2), ('python-trio/trio', 0.6619237065315247, 'perf', 3), ('erdewit/nest_asyncio', 0.6544142365455627, 'util', 2), ('alex-sherman/unsync', 0.6438055634498596, 'util', ... | 60 | 3 | null | 0.21 | 24 | 11 | 100 | 3 | 2 | 10 | 2 | 24 | 25 | 90 | 1 | 49 |
1,194 | llm | https://github.com/thudm/glm-130b | [] | null | [] | [] | null | null | null | thudm/glm-130b | GLM-130B | 7,447 | 602 | 96 | Python | null | GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023) | thudm | 2024-01-13 | 2022-08-03 | 77 | 95.649541 | https://avatars.githubusercontent.com/u/48590610?v=4 | GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023) | [] | [] | 2023-07-25 | [('openai/finetune-transformer-lm', 0.590366780757904, 'llm', 0), ('thudm/chatglm-6b', 0.5821515321731567, 'llm', 0), ('microsoft/unilm', 0.5527222156524658, 'nlp', 0), ('cg123/mergekit', 0.542129635810852, 'llm', 0), ('yizhongw/self-instruct', 0.5371110439300537, 'llm', 0), ('salesforce/blip', 0.5314812064170837, 'dif... | 6 | 2 | null | 0.33 | 8 | 1 | 18 | 6 | 0 | 0 | 0 | 8 | 4 | 90 | 0.5 | 49 |
1,275 | nlp | https://github.com/deeppavlov/deeppavlov | [] | null | [] | [] | null | null | null | deeppavlov/deeppavlov | DeepPavlov | 6,439 | 1,135 | 209 | Python | https://deeppavlov.ai | An open source library for deep learning end-to-end dialog systems and chatbots. | deeppavlov | 2024-01-13 | 2017-11-17 | 323 | 19.899779 | https://avatars.githubusercontent.com/u/29918795?v=4 | An open source library for deep learning end-to-end dialog systems and chatbots. | ['ai', 'artificial-intelligence', 'bot', 'chatbot', 'chitchat', 'deep-learning', 'deep-neural-networks', 'dialogue-agents', 'dialogue-manager', 'dialogue-systems', 'entity-extraction', 'intent-classification', 'intent-detection', 'machine-learning', 'named-entity-recognition', 'nlp', 'nlp-machine-learning', 'question-a... | ['ai', 'artificial-intelligence', 'bot', 'chatbot', 'chitchat', 'deep-learning', 'deep-neural-networks', 'dialogue-agents', 'dialogue-manager', 'dialogue-systems', 'entity-extraction', 'intent-classification', 'intent-detection', 'machine-learning', 'named-entity-recognition', 'nlp', 'nlp-machine-learning', 'question-a... | 2023-12-27 | [('rasahq/rasa', 0.7903884053230286, 'llm', 4), ('nvidia/nemo', 0.7471092939376831, 'nlp', 3), ('openlmlab/moss', 0.6669769287109375, 'llm', 2), ('krohling/bondai', 0.6658996939659119, 'llm', 0), ('togethercomputer/openchatkit', 0.6648150086402893, 'nlp', 1), ('rcgai/simplyretrieve', 0.6620361804962158, 'llm', 3), ('em... | 76 | 3 | null | 0.62 | 37 | 14 | 75 | 1 | 6 | 10 | 6 | 37 | 9 | 90 | 0.2 | 49 |
1,822 | nlp | https://github.com/facebookresearch/metaseq | ['fairseq'] | A codebase for working with Open Pre-trained Transformers, originally forked from fairseq. | [] | [] | null | null | null | facebookresearch/metaseq | metaseq | 6,297 | 711 | 110 | Python | null | Repo for external large-scale work | facebookresearch | 2024-01-13 | 2022-05-02 | 91 | 69.089342 | https://avatars.githubusercontent.com/u/16943930?v=4 | Repo for external large-scale work | [] | ['fairseq'] | 2023-06-08 | [] | 54 | 3 | null | 0.9 | 2 | 0 | 21 | 7 | 0 | 0 | 0 | 2 | 1 | 90 | 0.5 | 49 |
282 | util | https://github.com/sdispater/pendulum | [] | null | [] | [] | null | null | null | sdispater/pendulum | pendulum | 5,900 | 398 | 69 | Python | https://pendulum.eustace.io | Python datetimes made easy | sdispater | 2024-01-14 | 2016-06-27 | 396 | 14.893617 | null | Python datetimes made easy | ['date', 'datetime', 'time', 'timezones'] | ['date', 'datetime', 'time', 'timezones'] | 2023-12-16 | [('dateutil/dateutil', 0.7966391444206238, 'util', 3), ('arrow-py/arrow', 0.7535154819488525, 'util', 4), ('scrapinghub/dateparser', 0.6702179908752441, 'util', 2), ('stub42/pytz', 0.646413266658783, 'util', 0), ('spulec/freezegun', 0.54648357629776, 'testing', 0), ('rjt1990/pyflux', 0.5265621542930603, 'time-series', ... | 96 | 3 | null | 0.9 | 67 | 45 | 92 | 1 | 2 | 7 | 2 | 67 | 82 | 90 | 1.2 | 49 |
1,015 | util | https://github.com/wireservice/csvkit | [] | null | [] | [] | null | null | null | wireservice/csvkit | csvkit | 5,701 | 601 | 130 | Python | https://csvkit.readthedocs.io | A suite of utilities for converting to and working with CSV, the king of tabular file formats. | wireservice | 2024-01-13 | 2011-04-01 | 669 | 8.514402 | https://avatars.githubusercontent.com/u/17111824?v=4 | A suite of utilities for converting to and working with CSV, the king of tabular file formats. | [] | [] | 2023-12-21 | [('jazzband/prettytable', 0.5902390480041504, 'term', 0), ('jazzband/tablib', 0.5830636620521545, 'data', 0), ('saulpw/visidata', 0.5774484276771545, 'term', 0), ('camelot-dev/camelot', 0.567770779132843, 'util', 0), ('crunch-io/lazycsv', 0.561709463596344, 'perf', 0), ('astanin/python-tabulate', 0.5541922450065613, 'u... | 107 | 9 | null | 1.9 | 102 | 69 | 156 | 1 | 0 | 2 | 2 | 102 | 80 | 90 | 0.8 | 49 |
542 | ml-dl | https://github.com/facebookresearch/mmf | [] | null | [] | [] | null | null | null | facebookresearch/mmf | mmf | 5,352 | 928 | 117 | Python | https://mmf.sh/ | A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) | facebookresearch | 2024-01-13 | 2018-06-27 | 291 | 18.337739 | https://avatars.githubusercontent.com/u/16943930?v=4 | A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) | ['captioning', 'deep-learning', 'dialog', 'hateful-memes', 'multi-tasking', 'multimodal', 'pretrained-models', 'pytorch', 'textvqa', 'vqa'] | ['captioning', 'deep-learning', 'dialog', 'hateful-memes', 'multi-tasking', 'multimodal', 'pretrained-models', 'pytorch', 'textvqa', 'vqa'] | 2024-01-03 | [('pytorch/fairseq', 0.6375062465667725, 'nlp', 1), ('microsoft/i-code', 0.5485939383506775, 'ml', 0), ('rasahq/rasa', 0.5447145104408264, 'llm', 0), ('nvlabs/prismer', 0.5333836674690247, 'diffusion', 1), ('nvidia/nemo', 0.5225995779037476, 'nlp', 1), ('jina-ai/clip-as-service', 0.52168208360672, 'nlp', 2), ('fourthbr... | 116 | 5 | null | 0.38 | 7 | 4 | 68 | 0 | 0 | 1 | 1 | 7 | 6 | 90 | 0.9 | 49 |
1,887 | util | https://github.com/rsalmei/alive-progress | ['progress-bar', 'cli'] | null | [] | [] | 1 | null | null | rsalmei/alive-progress | alive-progress | 4,854 | 191 | 49 | Python | null | A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations! | rsalmei | 2024-01-14 | 2019-08-05 | 234 | 20.730933 | null | A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations! | ['alive', 'animated', 'animations', 'bar', 'cli', 'eta', 'feedback', 'monitoring', 'multi-threaded', 'progress', 'progress-bar', 'progressbar', 'repl', 'spinner', 'spinner-styles', 'spinners', 'terminal', 'throughput', 'visual'] | ['alive', 'animated', 'animations', 'bar', 'cli', 'eta', 'feedback', 'monitoring', 'multi-threaded', 'progress', 'progress-bar', 'progressbar', 'repl', 'spinner', 'spinner-styles', 'spinners', 'terminal', 'throughput', 'visual'] | 2023-12-02 | [('tqdm/tqdm', 0.6888198256492615, 'term', 5), ('wolph/python-progressbar', 0.6114795207977295, 'util', 7), ('rockhopper-technologies/enlighten', 0.5524495244026184, 'term', 0)] | 7 | 3 | null | 0.83 | 9 | 5 | 54 | 1 | 0 | 1 | 1 | 9 | 31 | 90 | 3.4 | 49 |
27 | typing | https://github.com/google/pytype | ['code-quality'] | null | [] | [] | null | null | null | google/pytype | pytype | 4,452 | 279 | 57 | Python | https://google.github.io/pytype | A static type analyzer for Python code | google | 2024-01-13 | 2015-03-18 | 462 | 9.618519 | https://avatars.githubusercontent.com/u/1342004?v=4 | A static type analyzer for Python code | ['linter', 'static-analysis', 'static-code-analysis', 'typechecker', 'types', 'typing'] | ['code-quality', 'linter', 'static-analysis', 'static-code-analysis', 'typechecker', 'types', 'typing'] | 2024-01-11 | [('microsoft/pyright', 0.8127192258834839, 'typing', 2), ('instagram/monkeytype', 0.8035555481910706, 'typing', 1), ('facebook/pyre-check', 0.7848848104476929, 'typing', 3), ('python/mypy', 0.7456424236297607, 'typing', 5), ('agronholm/typeguard', 0.7289842367172241, 'typing', 2), ('python/typeshed', 0.7091848254203796... | 100 | 2 | null | 10.46 | 57 | 44 | 107 | 0 | 0 | 22 | 22 | 57 | 27 | 90 | 0.5 | 49 |
209 | web | https://github.com/pywebio/pywebio | [] | null | [] | [] | null | null | null | pywebio/pywebio | PyWebIO | 4,234 | 363 | 54 | Python | https://pywebio.readthedocs.io | Write interactive web app in script way. | pywebio | 2024-01-13 | 2020-02-29 | 204 | 20.711391 | https://avatars.githubusercontent.com/u/83836839?v=4 | Write interactive web app in script way. | ['pywebio'] | ['pywebio'] | 2023-12-12 | [('webpy/webpy', 0.5835192799568176, 'web', 0), ('pyscript/pyscript', 0.5674092173576355, 'web', 0), ('reflex-dev/reflex', 0.5351123213768005, 'web', 0), ('masoniteframework/masonite', 0.5325572490692139, 'web', 0), ('pallets/flask', 0.5090134143829346, 'web', 0)] | 19 | 3 | null | 0.75 | 12 | 7 | 47 | 1 | 0 | 8 | 8 | 12 | 14 | 90 | 1.2 | 49 |
938 | llm | https://github.com/microsoft/biogpt | [] | null | [] | [] | null | null | null | microsoft/biogpt | BioGPT | 4,169 | 436 | 68 | Python | null | null | microsoft | 2024-01-12 | 2022-08-15 | 76 | 54.752345 | https://avatars.githubusercontent.com/u/6154722?v=4 | microsoft/BioGPT | [] | [] | 2023-11-13 | [] | 9 | 4 | null | 0.42 | 10 | 2 | 17 | 2 | 0 | 0 | 0 | 10 | 8 | 90 | 0.8 | 49 |
1,598 | nlp | https://github.com/thilinarajapakse/simpletransformers | [] | null | [] | [] | null | null | null | thilinarajapakse/simpletransformers | simpletransformers | 3,901 | 723 | 62 | Python | https://simpletransformers.ai/ | Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI | thilinarajapakse | 2024-01-14 | 2019-10-04 | 225 | 17.293857 | null | Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI | ['conversational-ai', 'named-entity-recognition', 'question-answering', 'text-classification', 'transformers'] | ['conversational-ai', 'named-entity-recognition', 'question-answering', 'text-classification', 'transformers'] | 2023-12-18 | [('huggingface/transformers', 0.713013768196106, 'nlp', 0), ('cdpierse/transformers-interpret', 0.6818839311599731, 'ml-interpretability', 1), ('nvidia/nemo', 0.6740487813949585, 'nlp', 0), ('keras-team/keras-nlp', 0.6119193434715271, 'nlp', 0), ('llmware-ai/llmware', 0.6119190454483032, 'llm', 2), ('microsoft/generati... | 100 | 5 | null | 0.25 | 10 | 3 | 52 | 1 | 0 | 62 | 62 | 10 | 7 | 90 | 0.7 | 49 |
1,386 | security | https://github.com/rhinosecuritylabs/pacu | [] | null | [] | [] | null | null | null | rhinosecuritylabs/pacu | pacu | 3,872 | 640 | 111 | Python | https://rhinosecuritylabs.com/aws/pacu-open-source-aws-exploitation-framework/ | The AWS exploitation framework, designed for testing the security of Amazon Web Services environments. | rhinosecuritylabs | 2024-01-13 | 2018-06-13 | 293 | 13.176471 | https://avatars.githubusercontent.com/u/11430746?v=4 | The AWS exploitation framework, designed for testing the security of Amazon Web Services environments. | ['aws', 'aws-security', 'penetration-testing', 'security'] | ['aws', 'aws-security', 'penetration-testing', 'security'] | 2024-01-09 | [('flipkart-incubator/astra', 0.5590912699699402, 'web', 2), ('newsapps/beeswithmachineguns', 0.5492108464241028, 'testing', 0), ('swisskyrepo/payloadsallthethings', 0.5338615775108337, 'security', 2), ('prefecthq/prefect-aws', 0.5137910842895508, 'data', 1), ('aws-samples/sagemaker-ssh-helper', 0.5007947087287903, 'ut... | 53 | 3 | null | 1.79 | 30 | 26 | 68 | 0 | 11 | 4 | 11 | 30 | 12 | 90 | 0.4 | 49 |
797 | util | https://github.com/miguelgrinberg/python-socketio | [] | null | [] | [] | null | null | null | miguelgrinberg/python-socketio | python-socketio | 3,638 | 597 | 60 | Python | null | Python Socket.IO server and client | miguelgrinberg | 2024-01-13 | 2015-07-15 | 445 | 8.159564 | null | Python Socket.IO server and client | ['asyncio', 'eventlet', 'gevent', 'long-polling', 'low-latency', 'socket-io', 'socketio', 'socketio-server', 'web-server', 'websocket'] | ['asyncio', 'eventlet', 'gevent', 'long-polling', 'low-latency', 'socket-io', 'socketio', 'socketio-server', 'web-server', 'websocket'] | 2024-01-11 | [('websocket-client/websocket-client', 0.7025880217552185, 'web', 1), ('aio-libs/aiohttp', 0.6701440215110779, 'web', 1), ('encode/starlette', 0.6212427616119385, 'web', 0), ('magicstack/uvloop', 0.6088827252388, 'util', 1), ('encode/httpx', 0.5959307551383972, 'web', 1), ('bmoscon/cryptofeed', 0.595906138420105, 'cryp... | 69 | 4 | null | 1.38 | 59 | 55 | 104 | 0 | 4 | 11 | 4 | 59 | 97 | 90 | 1.6 | 49 |
426 | util | https://github.com/pycqa/flake8 | ['code-quality'] | null | [] | [] | null | null | null | pycqa/flake8 | flake8 | 3,144 | 303 | 37 | Python | https://flake8.pycqa.org | flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code. | pycqa | 2024-01-14 | 2014-09-13 | 489 | 6.423818 | https://avatars.githubusercontent.com/u/8749848?v=4 | flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code. | ['complexity-analysis', 'flake8', 'linter', 'linter-flake8', 'pep8', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'stylelint'] | ['code-quality', 'complexity-analysis', 'flake8', 'linter', 'linter-flake8', 'pep8', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'stylelint'] | 2024-01-08 | [('pycqa/pycodestyle', 0.6883364915847778, 'util', 4), ('pycqa/mccabe', 0.6619266867637634, 'util', 3), ('grantjenks/blue', 0.6205138564109802, 'util', 1), ('hhatto/autopep8', 0.6079347729682922, 'util', 1), ('psf/black', 0.6002591848373413, 'util', 1), ('astral-sh/ruff', 0.5777422785758972, 'util', 7), ('rubik/radon',... | 174 | 6 | null | 0.92 | 37 | 36 | 114 | 0 | 0 | 9 | 9 | 37 | 48 | 90 | 1.3 | 49 |
1,297 | nlp | https://github.com/promptslab/promptify | ['prompt-engineering'] | null | [] | [] | null | null | null | promptslab/promptify | Promptify | 2,835 | 205 | 46 | Jupyter Notebook | https://discord.gg/m88xfYMbK6 | Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research | promptslab | 2024-01-14 | 2022-12-12 | 59 | 47.934783 | https://avatars.githubusercontent.com/u/120981762?v=4 | Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research | ['chatgpt', 'chatgpt-api', 'chatgpt-python', 'gpt-3', 'gpt-3-prompts', 'gpt-4', 'gpt-4-api', 'gpt3-library', 'large-language-models', 'machine-learning', 'nlp', 'openai', 'prompt-engineering', 'prompt-toolkit', 'prompt-tuning', 'prompt-versioning', 'prompting', 'prompts', 'promptversioning', 'transformers'] | ['chatgpt', 'chatgpt-api', 'chatgpt-python', 'gpt-3', 'gpt-3-prompts', 'gpt-4', 'gpt-4-api', 'gpt3-library', 'large-language-models', 'machine-learning', 'nlp', 'openai', 'prompt-engineering', 'prompt-toolkit', 'prompt-tuning', 'prompt-versioning', 'prompting', 'prompts', 'promptversioning', 'transformers'] | 2023-08-03 | [('promptslab/awesome-prompt-engineering', 0.7121634483337402, 'study', 8), ('guidance-ai/guidance', 0.6470388770103455, 'llm', 2), ('xtekky/gpt4free', 0.6027716398239136, 'llm', 5), ('microsoft/autogen', 0.5999529957771301, 'llm', 2), ('agenta-ai/agenta', 0.5992403030395508, 'llm', 3), ('neulab/prompt2model', 0.586303... | 12 | 4 | null | 8.29 | 8 | 1 | 13 | 5 | 0 | 1 | 1 | 8 | 4 | 90 | 0.5 | 49 |
245 | util | https://github.com/pyston/pyston | [] | null | [] | [] | null | null | null | pyston/pyston | pyston | 2,476 | 90 | 38 | Python | https://www.pyston.org/ | A faster and highly-compatible implementation of the Python programming language. | pyston | 2024-01-14 | 2021-03-01 | 152 | 16.274178 | https://avatars.githubusercontent.com/u/9670621?v=4 | A faster and highly-compatible implementation of the Python programming language. | [] | [] | 2023-02-28 | [('pypy/pypy', 0.7871115207672119, 'util', 0), ('python/cpython', 0.7426720261573792, 'util', 0), ('pytoolz/toolz', 0.719200074672699, 'util', 0), ('cython/cython', 0.6975716352462769, 'util', 0), ('exaloop/codon', 0.6812407970428467, 'perf', 0), ('fastai/fastcore', 0.6732315421104431, 'util', 0), ('sympy/sympy', 0.667... | 1,037 | 6 | null | 0.04 | 1 | 0 | 35 | 11 | 0 | 164 | 164 | 1 | 2 | 90 | 2 | 49 |
1,739 | ml-rl | https://github.com/eureka-research/eureka | ['evolutionary-optimization'] | null | [] | [] | null | null | null | eureka-research/eureka | Eureka | 2,376 | 197 | 22 | Jupyter Notebook | https://eureka-research.github.io/ | Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" | eureka-research | 2024-01-14 | 2023-09-25 | 18 | 130.96063 | https://avatars.githubusercontent.com/u/145279285?v=4 | Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" | [] | ['evolutionary-optimization'] | 2023-11-17 | [('yueyu1030/attrprompt', 0.522046685218811, 'llm', 0), ('lupantech/chameleon-llm', 0.5140032768249512, 'llm', 0)] | 2 | 0 | null | 0.12 | 36 | 8 | 4 | 2 | 0 | 0 | 0 | 36 | 43 | 90 | 1.2 | 49 |
1,356 | term | https://github.com/textualize/trogon | ['click', 'cli', 'terminal', 'textual'] | null | [] | [] | null | null | null | textualize/trogon | trogon | 2,229 | 44 | 20 | Python | null | Easily turn your Click CLI into a powerful terminal application | textualize | 2024-01-12 | 2023-04-18 | 41 | 54.365854 | https://avatars.githubusercontent.com/u/93378883?v=4 | Easily turn your Click CLI into a powerful terminal application | [] | ['cli', 'click', 'terminal', 'textual'] | 2023-08-21 | [('tiangolo/typer', 0.5765345692634583, 'term', 3), ('jquast/blessed', 0.5472238063812256, 'term', 2), ('pallets/click', 0.5391209125518799, 'term', 3), ('click-contrib/click-completion', 0.5366969704627991, 'term', 1), ('pexpect/pexpect', 0.5282593965530396, 'util', 0), ('python-poetry/cleo', 0.5179005265235901, 'term... | 6 | 3 | null | 3.12 | 14 | 2 | 9 | 5 | 3 | 4 | 3 | 14 | 9 | 90 | 0.6 | 49 |
527 | ml-dl | https://github.com/neuralmagic/sparseml | [] | null | [] | [] | null | null | null | neuralmagic/sparseml | sparseml | 1,893 | 135 | 46 | Python | null | Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models | neuralmagic | 2024-01-13 | 2020-12-11 | 163 | 11.572926 | https://avatars.githubusercontent.com/u/68670575?v=4 | Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models | ['automl', 'computer-vision-algorithms', 'deep-learning-algorithms', 'deep-learning-library', 'deep-learning-models', 'image-classification', 'keras', 'nlp', 'object-detection', 'onnx', 'pruning', 'pruning-algorithms', 'pytorch', 'smaller-models', 'sparsification', 'sparsification-recipes', 'sparsity', 'tensorflow', 't... | ['automl', 'computer-vision-algorithms', 'deep-learning-algorithms', 'deep-learning-library', 'deep-learning-models', 'image-classification', 'keras', 'nlp', 'object-detection', 'onnx', 'pruning', 'pruning-algorithms', 'pytorch', 'smaller-models', 'sparsification', 'sparsification-recipes', 'sparsity', 'tensorflow', 't... | 2024-01-12 | [('neuralmagic/deepsparse', 0.7135436534881592, 'nlp', 5), ('lutzroeder/netron', 0.6401857137680054, 'ml', 4), ('mosaicml/composer', 0.6215312480926514, 'ml-dl', 1), ('pytorch/ignite', 0.6128144860267639, 'ml-dl', 1), ('karpathy/micrograd', 0.597611129283905, 'study', 0), ('skorch-dev/skorch', 0.5961683988571167, 'ml-d... | 47 | 2 | null | 6.75 | 220 | 198 | 38 | 0 | 11 | 12 | 11 | 219 | 79 | 90 | 0.4 | 49 |
433 | data | https://github.com/sdv-dev/sdv | [] | null | [] | [] | null | null | null | sdv-dev/sdv | SDV | 1,775 | 255 | 42 | Python | https://docs.sdv.dev/sdv | Synthetic data generation for tabular data | sdv-dev | 2024-01-13 | 2018-05-11 | 298 | 5.944976 | https://avatars.githubusercontent.com/u/59050321?v=4 | Synthetic data generation for tabular data | ['data-generation', 'deep-learning', 'gan', 'gans', 'generative-adversarial-network', 'generative-ai', 'generative-model', 'generativeai', 'machine-learning', 'multi-table', 'relational-datasets', 'sdv', 'synthetic-data', 'synthetic-data-generation', 'time-series'] | ['data-generation', 'deep-learning', 'gan', 'gans', 'generative-adversarial-network', 'generative-ai', 'generative-model', 'generativeai', 'machine-learning', 'multi-table', 'relational-datasets', 'sdv', 'synthetic-data', 'synthetic-data-generation', 'time-series'] | 2024-01-11 | [('ydataai/ydata-synthetic', 0.9112098217010498, 'data', 7), ('nicolas-hbt/pygraft', 0.6006342172622681, 'ml', 2), ('awslabs/autogluon', 0.562446117401123, 'ml', 3), ('makcedward/nlpaug', 0.517977237701416, 'nlp', 1)] | 46 | 5 | null | 5.25 | 147 | 116 | 69 | 0 | 13 | 10 | 13 | 146 | 192 | 90 | 1.3 | 49 |
1,529 | llm | https://github.com/spcl/graph-of-thoughts | [] | null | [] | [] | 1 | null | null | spcl/graph-of-thoughts | graph-of-thoughts | 1,675 | 102 | 19 | Python | https://arxiv.org/pdf/2308.09687.pdf | Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models" | spcl | 2024-01-14 | 2023-08-18 | 23 | 71.060606 | https://avatars.githubusercontent.com/u/31108244?v=4 | Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models" | ['graph-of-thoughts', 'graph-structures', 'graphs', 'large-language-models', 'llm', 'prompt-engineering', 'prompting'] | ['graph-of-thoughts', 'graph-structures', 'graphs', 'large-language-models', 'llm', 'prompt-engineering', 'prompting'] | 2023-12-02 | [('kyegomez/tree-of-thoughts', 0.6711254715919495, 'llm', 1), ('dylanhogg/llmgraph', 0.6043452024459839, 'ml', 1), ('hannibal046/awesome-llm', 0.5740511417388916, 'study', 0), ('keirp/automatic_prompt_engineer', 0.5692050457000732, 'llm', 1), ('guidance-ai/guidance', 0.5539388060569763, 'llm', 1), ('lianjiatech/belle',... | 4 | 1 | null | 0.37 | 16 | 14 | 5 | 1 | 2 | 5 | 2 | 16 | 12 | 90 | 0.8 | 49 |
1,858 | sim | https://github.com/nvidia/warp | ['simulation', 'gpu'] | null | [] | [] | null | null | null | nvidia/warp | warp | 1,472 | 118 | 43 | Python | https://nvidia.github.io/warp/ | A Python framework for high performance GPU simulation and graphics | nvidia | 2024-01-13 | 2022-03-18 | 97 | 15.086384 | https://avatars.githubusercontent.com/u/1728152?v=4 | A Python framework for high performance GPU simulation and graphics | [] | ['gpu', 'simulation'] | 2024-01-11 | [('pytorch/pytorch', 0.6113191843032837, 'ml-dl', 1), ('exaloop/codon', 0.603724479675293, 'perf', 0), ('rapidsai/jupyterlab-nvdashboard', 0.5572924017906189, 'jupyter', 1), ('google/jax', 0.5563659071922302, 'ml', 0), ('nvidia/tensorrt-llm', 0.5474246740341187, 'viz', 1), ('joblib/joblib', 0.5375118851661682, 'util', ... | 34 | 2 | null | 17.08 | 56 | 25 | 22 | 0 | 5 | 12 | 5 | 56 | 45 | 90 | 0.8 | 49 |
1,069 | llm | https://github.com/microsoft/megatron-deepspeed | [] | null | [] | [] | null | null | null | microsoft/megatron-deepspeed | Megatron-DeepSpeed | 1,353 | 262 | 19 | Python | null | Ongoing research training transformer language models at scale, including: BERT & GPT-2 | microsoft | 2024-01-13 | 2021-06-21 | 136 | 9.93809 | https://avatars.githubusercontent.com/u/6154722?v=4 | Ongoing research training transformer language models at scale, including: BERT & GPT-2 | [] | [] | 2024-01-10 | [('bigscience-workshop/megatron-deepspeed', 1.0000001192092896, 'llm', 0), ('nvidia/megatron-lm', 0.6671424508094788, 'llm', 0), ('lvwerra/trl', 0.6662755608558655, 'llm', 0), ('jonasgeiping/cramming', 0.6582860946655273, 'nlp', 0), ('huggingface/transformers', 0.6457441449165344, 'nlp', 0), ('explosion/spacy-transform... | 122 | 3 | null | 5.9 | 86 | 45 | 31 | 0 | 0 | 4 | 4 | 86 | 115 | 90 | 1.3 | 49 |
973 | ml | https://github.com/googlecloudplatform/vertex-ai-samples | [] | null | [] | [] | null | null | null | googlecloudplatform/vertex-ai-samples | vertex-ai-samples | 1,150 | 649 | 40 | Jupyter Notebook | https://cloud.google.com/vertex-ai | Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud | googlecloudplatform | 2024-01-11 | 2021-05-27 | 139 | 8.231084 | https://avatars.githubusercontent.com/u/2810941?v=4 | Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud | ['ai', 'data-science', 'gcp', 'google-cloud-platform', 'ml', 'mlops', 'notebook', 'samples', 'vertex-ai'] | ['ai', 'data-science', 'gcp', 'google-cloud-platform', 'ml', 'mlops', 'notebook', 'samples', 'vertex-ai'] | 2024-01-12 | [('google-research/google-research', 0.6550525426864624, 'ml', 1), ('mlflow/mlflow', 0.6433287262916565, 'ml-ops', 2), ('bentoml/bentoml', 0.6409500241279602, 'ml-ops', 2), ('pytorchlightning/pytorch-lightning', 0.6309098601341248, 'ml-dl', 2), ('hpcaitech/colossalai', 0.6214262843132019, 'llm', 1), ('netflix/metaflow'... | 141 | 5 | null | 19.94 | 297 | 270 | 32 | 0 | 0 | 0 | 0 | 297 | 294 | 90 | 1 | 49 |
1,508 | llm | https://github.com/ajndkr/lanarky | [] | null | [] | [] | null | null | null | ajndkr/lanarky | lanarky | 900 | 65 | 14 | Python | https://lanarky.ajndkr.com/ | The web framework for building LLM microservices | ajndkr | 2024-01-12 | 2023-04-07 | 42 | 21.14094 | null | The web framework for building LLM microservices | ['fastapi', 'llmops', 'web'] | ['fastapi', 'llmops', 'web'] | 2024-01-13 | [('janetech-inc/fast-api-admin-template', 0.6117317080497742, 'template', 0), ('berriai/litellm', 0.587331235408783, 'llm', 1), ('young-geng/easylm', 0.5861847996711731, 'llm', 0), ('pathwaycom/llm-app', 0.5696076154708862, 'llm', 1), ('tiangolo/fastapi', 0.5630785822868347, 'web', 2), ('shishirpatil/gorilla', 0.560932... | 13 | 2 | null | 3.06 | 53 | 47 | 9 | 0 | 48 | 65 | 48 | 53 | 62 | 90 | 1.2 | 49 |
1,318 | ml-dl | https://github.com/nvidia/deeplearningexamples | [] | null | [] | [] | null | null | null | nvidia/deeplearningexamples | DeepLearningExamples | 12,049 | 2,999 | 295 | Jupyter Notebook | null | State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. | nvidia | 2024-01-14 | 2018-05-02 | 299 | 40.182468 | https://avatars.githubusercontent.com/u/1728152?v=4 | State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. | ['computer-vision', 'deep-learning', 'drug-discovery', 'forecasting', 'large-language-models', 'mxnet', 'nlp', 'paddlepaddle', 'pytorch', 'recommender-systems', 'speech-recognition', 'speech-synthesis', 'tensorflow', 'tensorflow2', 'translation'] | ['computer-vision', 'deep-learning', 'drug-discovery', 'forecasting', 'large-language-models', 'mxnet', 'nlp', 'paddlepaddle', 'pytorch', 'recommender-systems', 'speech-recognition', 'speech-synthesis', 'tensorflow', 'tensorflow2', 'translation'] | 2023-12-08 | [('huggingface/transformers', 0.6816701889038086, 'nlp', 5), ('huggingface/datasets', 0.6591049432754517, 'nlp', 5), ('explosion/thinc', 0.6549383401870728, 'ml-dl', 5), ('ddbourgin/numpy-ml', 0.6215345859527588, 'ml', 0), ('keras-team/keras-nlp', 0.6211730241775513, 'nlp', 3), ('tensorflow/tensor2tensor', 0.6179958581... | 115 | 1 | null | 1.15 | 11 | 0 | 69 | 1 | 0 | 0 | 0 | 11 | 3 | 90 | 0.3 | 48 |
115 | nlp | https://github.com/allenai/allennlp | [] | null | [] | [] | null | null | null | allenai/allennlp | allennlp | 11,631 | 2,261 | 284 | Python | http://www.allennlp.org | An open-source NLP research library, built on PyTorch. | allenai | 2024-01-13 | 2017-05-15 | 350 | 33.21787 | https://avatars.githubusercontent.com/u/5667695?v=4 | An open-source NLP research library, built on PyTorch. | ['data-science', 'deep-learning', 'natural-language-processing', 'nlp', 'pytorch'] | ['data-science', 'deep-learning', 'natural-language-processing', 'nlp', 'pytorch'] | 2022-11-22 | [('nltk/nltk', 0.6935926675796509, 'nlp', 2), ('alibaba/easynlp', 0.6890572309494019, 'nlp', 3), ('flairnlp/flair', 0.6880818605422974, 'nlp', 3), ('graykode/nlp-tutorial', 0.6779881715774536, 'study', 3), ('pytorch/ignite', 0.6625421047210693, 'ml-dl', 2), ('explosion/spacy', 0.6516764163970947, 'nlp', 4), ('skorch-de... | 267 | 5 | null | 0 | 0 | 0 | 81 | 14 | 0 | 10 | 10 | 0 | 0 | 90 | 0 | 48 |
1,827 | util | https://github.com/zulko/moviepy | [] | null | [] | [] | null | null | null | zulko/moviepy | moviepy | 11,300 | 1,501 | 256 | Python | https://zulko.github.io/moviepy/ | Video editing with Python | zulko | 2024-01-14 | 2013-08-12 | 546 | 20.690557 | null | Video editing with Python | ['animation', 'gif', 'video', 'video-editing', 'video-processing'] | ['animation', 'gif', 'video', 'video-editing', 'video-processing'] | 2023-07-11 | [('imageio/imageio', 0.6167894601821899, 'util', 1), ('soft-matter/pims', 0.6140278577804565, 'util', 1), ('scikit-image/scikit-image', 0.5875822305679321, 'util', 0), ('chenyangqiqi/fatezero', 0.5514541268348694, 'diffusion', 1), ('researchmm/sttn', 0.5262514352798462, 'ml-dl', 0), ('has2k1/plotnine', 0.52441459894180... | 160 | 1 | null | 0.21 | 85 | 22 | 127 | 6 | 0 | 1 | 1 | 85 | 137 | 90 | 1.6 | 48 |
215 | debug | https://github.com/gruns/icecream | [] | null | [] | [] | null | null | null | gruns/icecream | icecream | 8,090 | 171 | 50 | Python | null | 🍦 Never use print() to debug again. | gruns | 2024-01-13 | 2018-02-13 | 311 | 26.012862 | null | 🍦 Never use print() to debug again. | ['debug', 'debugging', 'debugging-tool', 'inspects', 'print'] | ['debug', 'debugging', 'debugging-tool', 'inspects', 'print'] | 2022-12-04 | [('cool-rr/pysnooper', 0.8130260705947876, 'debug', 1)] | 21 | 7 | null | 0 | 26 | 4 | 72 | 14 | 0 | 1 | 1 | 26 | 38 | 90 | 1.5 | 48 |
1,206 | ml | https://github.com/uberi/speech_recognition | [] | null | [] | [] | null | null | null | uberi/speech_recognition | speech_recognition | 7,796 | 2,331 | 282 | Python | https://pypi.python.org/pypi/SpeechRecognition/ | Speech recognition module for Python, supporting several engines and APIs, online and offline. | uberi | 2024-01-14 | 2014-04-23 | 509 | 15.290558 | null | Speech recognition module for Python, supporting several engines and APIs, online and offline. | ['audio', 'speech-recognition', 'speech-to-text'] | ['audio', 'speech-recognition', 'speech-to-text'] | 2023-12-06 | [('pndurette/gtts', 0.7022308707237244, 'util', 0), ('nateshmbhat/pyttsx3', 0.6923384070396423, 'util', 0), ('spotify/pedalboard', 0.6759282946586609, 'util', 1), ('speechbrain/speechbrain', 0.6739375591278076, 'nlp', 3), ('irmen/pyminiaudio', 0.659464955329895, 'util', 0), ('googleapis/python-speech', 0.65493804216384... | 49 | 4 | null | 0.98 | 45 | 14 | 118 | 1 | 2 | 5 | 2 | 45 | 36 | 90 | 0.8 | 48 |
132 | ml | https://github.com/automl/auto-sklearn | [] | null | [] | [] | null | null | null | automl/auto-sklearn | auto-sklearn | 7,287 | 1,268 | 215 | Python | https://automl.github.io/auto-sklearn | Automated Machine Learning with scikit-learn | automl | 2024-01-13 | 2015-07-02 | 447 | 16.276005 | https://avatars.githubusercontent.com/u/6469053?v=4 | Automated Machine Learning with scikit-learn | ['automated-machine-learning', 'automl', 'bayesian-optimization', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'meta-learning', 'metalearning', 'scikit-learn', 'smac'] | ['automated-machine-learning', 'automl', 'bayesian-optimization', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'meta-learning', 'metalearning', 'scikit-learn', 'smac'] | 2023-04-18 | [('microsoft/nni', 0.7624291777610779, 'ml', 5), ('nccr-itmo/fedot', 0.7373944520950317, 'ml-ops', 3), ('microsoft/flaml', 0.7281423807144165, 'ml', 4), ('ray-project/tune-sklearn', 0.6818026304244995, 'ml', 4), ('winedarksea/autots', 0.6762388944625854, 'time-series', 1), ('awslabs/autogluon', 0.672629177570343, 'ml',... | 88 | 7 | null | 0.02 | 32 | 12 | 104 | 9 | 1 | 4 | 1 | 32 | 50 | 90 | 1.6 | 48 |
594 | gis | https://github.com/domlysz/blendergis | [] | null | [] | [] | null | null | null | domlysz/blendergis | BlenderGIS | 6,989 | 1,302 | 257 | Python | null | Blender addons to make the bridge between Blender and geographic data | domlysz | 2024-01-13 | 2014-05-08 | 507 | 13.765616 | null | Blender addons to make the bridge between Blender and geographic data | ['3d', '3d-map', '3dgis', 'addon', 'basemap', 'blender', 'delaunay-triangulation', 'dem', 'geodata', 'georeferencing', 'geospatial', 'gis', 'importexport', 'map', 'openstreetmap', 'raster', 'shapefile', 'terrain-model'] | ['3d', '3d-map', '3dgis', 'addon', 'basemap', 'blender', 'delaunay-triangulation', 'dem', 'geodata', 'georeferencing', 'geospatial', 'gis', 'importexport', 'map', 'openstreetmap', 'raster', 'shapefile', 'terrain-model'] | 2024-01-08 | [('raphaelquast/eomaps', 0.5599436163902283, 'gis', 2), ('darribas/gds_env', 0.5147411823272705, 'gis', 0), ('isl-org/open3d', 0.5055702924728394, 'sim', 1)] | 15 | 3 | null | 0.02 | 49 | 9 | 118 | 0 | 0 | 2 | 2 | 49 | 81 | 90 | 1.7 | 48 |
637 | util | https://github.com/theskumar/python-dotenv | [] | null | [] | [] | null | null | null | theskumar/python-dotenv | python-dotenv | 6,790 | 434 | 34 | Python | https://saurabh-kumar.com/python-dotenv/ | Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles. | theskumar | 2024-01-14 | 2014-09-06 | 490 | 13.845033 | null | Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles. | ['12-factor-app', 'configuration', 'devops-tools', 'dotenv', 'env', 'environment-variables'] | ['12-factor-app', 'configuration', 'devops-tools', 'dotenv', 'env', 'environment-variables'] | 2023-07-07 | [] | 93 | 6 | null | 0.17 | 17 | 9 | 114 | 6 | 2 | 5 | 2 | 17 | 34 | 90 | 2 | 48 |
223 | nlp | https://github.com/kingoflolz/mesh-transformer-jax | [] | null | [] | [] | 1 | null | null | kingoflolz/mesh-transformer-jax | mesh-transformer-jax | 6,165 | 897 | 109 | Python | null | Model parallel transformers in JAX and Haiku | kingoflolz | 2024-01-13 | 2021-03-13 | 150 | 40.982906 | null | Model parallel transformers in JAX and Haiku | [] | [] | 2023-01-12 | [('huggingface/transformers', 0.5089766979217529, 'nlp', 0)] | 23 | 3 | null | 0 | 7 | 0 | 35 | 12 | 0 | 0 | 0 | 7 | 18 | 90 | 2.6 | 48 |
437 | perf | https://github.com/mher/flower | [] | null | [] | [] | null | null | null | mher/flower | flower | 6,007 | 1,046 | 143 | Python | https://flower.readthedocs.io | Real-time monitor and web admin for Celery distributed task queue | mher | 2024-01-14 | 2012-07-08 | 603 | 9.957139 | null | Real-time monitor and web admin for Celery distributed task queue | ['administration', 'asynchronous', 'celery', 'monitoring', 'rabbitmq', 'redis', 'task-queue', 'workers'] | ['administration', 'asynchronous', 'celery', 'monitoring', 'rabbitmq', 'redis', 'task-queue', 'workers'] | 2023-12-17 | [('celery/celery', 0.6660754680633545, 'perf', 1), ('bogdanp/dramatiq', 0.5586143732070923, 'util', 1), ('samuelcolvin/arq', 0.5143932104110718, 'data', 1), ('sumerc/yappi', 0.5045316219329834, 'profiling', 1), ('airtai/faststream', 0.5014379620552063, 'perf', 2)] | 211 | 6 | null | 1.08 | 29 | 11 | 140 | 1 | 0 | 2 | 2 | 29 | 26 | 90 | 0.9 | 48 |
1,387 | security | https://github.com/nccgroup/scoutsuite | [] | null | [] | [] | null | null | null | nccgroup/scoutsuite | ScoutSuite | 5,923 | 980 | 125 | Python | null | Multi-Cloud Security Auditing Tool | nccgroup | 2024-01-13 | 2018-10-30 | 274 | 21.616788 | https://avatars.githubusercontent.com/u/4067082?v=4 | Multi-Cloud Security Auditing Tool | ['auditing', 'aws', 'azure', 'cloud', 'gcp', 'security'] | ['auditing', 'aws', 'azure', 'cloud', 'gcp', 'security'] | 2023-09-22 | [('jorgebastida/awslogs', 0.5164755582809448, 'util', 0)] | 119 | 3 | null | 0.81 | 27 | 3 | 63 | 4 | 3 | 13 | 3 | 27 | 18 | 90 | 0.7 | 48 |
566 | util | https://github.com/jd/tenacity | [] | null | [] | [] | 1 | null | null | jd/tenacity | tenacity | 5,616 | 285 | 48 | Python | http://tenacity.readthedocs.io | Retrying library for Python | jd | 2024-01-14 | 2016-08-11 | 389 | 14.410557 | null | Retrying library for Python | ['failure', 'retry', 'retry-library'] | ['failure', 'retry', 'retry-library'] | 2023-12-18 | [] | 87 | 3 | null | 0.56 | 17 | 8 | 90 | 1 | 0 | 9 | 9 | 17 | 12 | 90 | 0.7 | 48 |
600 | jupyter | https://github.com/connorferster/handcalcs | [] | null | [] | [] | null | null | null | connorferster/handcalcs | handcalcs | 5,300 | 444 | 84 | CSS | null | Python library for converting Python calculations into rendered latex. | connorferster | 2024-01-12 | 2020-02-19 | 205 | 25.74601 | null | Python library for converting Python calculations into rendered latex. | [] | [] | 2023-11-12 | [('google/latexify_py', 0.7623890042304993, 'util', 0), ('pytoolz/toolz', 0.6247959733009338, 'util', 0), ('pypy/pypy', 0.5907471179962158, 'util', 0), ('fredrik-johansson/mpmath', 0.5756496787071228, 'math', 0), ('pyscf/pyscf', 0.5601664185523987, 'sim', 0), ('sympy/sympy', 0.5598889589309692, 'math', 0), ('pyston/pys... | 11 | 5 | null | 0.04 | 9 | 0 | 48 | 2 | 0 | 2 | 2 | 9 | 14 | 90 | 1.6 | 48 |
1,868 | util | https://github.com/pdfminer/pdfminer.six | [] | null | [] | [] | null | null | null | pdfminer/pdfminer.six | pdfminer.six | 5,083 | 863 | 121 | Python | https://pdfminersix.readthedocs.io | Community maintained fork of pdfminer - we fathom PDF | pdfminer | 2024-01-13 | 2014-08-29 | 491 | 10.340308 | https://avatars.githubusercontent.com/u/22586632?v=4 | Community maintained fork of pdfminer - we fathom PDF | ['parser', 'pdf'] | ['parser', 'pdf'] | 2024-01-12 | [('py-pdf/pypdf2', 0.5491688847541809, 'util', 1), ('pyfpdf/fpdf2', 0.5335804224014282, 'util', 1), ('allenai/s2orc-doc2json', 0.5287355184555054, 'nlp', 0), ('unstructured-io/pipeline-paddleocr', 0.5148302316665649, 'data', 1)] | 137 | 4 | null | 0.35 | 62 | 37 | 114 | 0 | 1 | 2 | 1 | 62 | 74 | 90 | 1.2 | 48 |
102 | ml | https://github.com/rasbt/mlxtend | [] | null | [] | [] | null | null | null | rasbt/mlxtend | mlxtend | 4,676 | 839 | 117 | Python | https://rasbt.github.io/mlxtend/ | A library of extension and helper modules for Python's data analysis and machine learning libraries. | rasbt | 2024-01-13 | 2014-08-14 | 493 | 9.471065 | null | A library of extension and helper modules for Python's data analysis and machine learning libraries. | ['association-rules', 'data-mining', 'data-science', 'machine-learning', 'supervised-learning', 'unsupervised-learning'] | ['association-rules', 'data-mining', 'data-science', 'machine-learning', 'supervised-learning', 'unsupervised-learning'] | 2024-01-05 | [('scikit-learn/scikit-learn', 0.7584848403930664, 'ml', 2), ('pycaret/pycaret', 0.7207165956497192, 'ml', 2), ('featurelabs/featuretools', 0.6914775371551514, 'ml', 2), ('tensorflow/data-validation', 0.6768656373023987, 'ml-ops', 0), ('gradio-app/gradio', 0.6547028422355652, 'viz', 2), ('scikit-learn-contrib/imbalance... | 103 | 5 | null | 1.08 | 7 | 4 | 115 | 0 | 3 | 3 | 3 | 7 | 11 | 90 | 1.6 | 48 |
1,813 | study | https://github.com/mrdbourke/tensorflow-deep-learning | [] | null | [] | [] | null | null | null | mrdbourke/tensorflow-deep-learning | tensorflow-deep-learning | 4,631 | 2,271 | 149 | Jupyter Notebook | https://dbourke.link/ZTMTFcourse | All course materials for the Zero to Mastery Deep Learning with TensorFlow course. | mrdbourke | 2024-01-13 | 2020-11-23 | 166 | 27.873603 | null | All course materials for the Zero to Mastery Deep Learning with TensorFlow course. | ['curriculum', 'deep-learning', 'deep-neural-networks', 'tensorflow', 'tensorflow-course', 'tensorflow-tutorials', 'tensorflow2'] | ['curriculum', 'deep-learning', 'deep-neural-networks', 'tensorflow', 'tensorflow-course', 'tensorflow-tutorials', 'tensorflow2'] | 2023-11-09 | [('mrdbourke/zero-to-mastery-ml', 0.7862590551376343, 'study', 1), ('mrdbourke/pytorch-deep-learning', 0.7342724800109863, 'study', 1), ('amanchadha/coursera-deep-learning-specialization', 0.592336118221283, 'study', 1), ('tensorlayer/tensorlayer', 0.576848566532135, 'ml-rl', 3), ('d2l-ai/d2l-en', 0.5674564242362976, '... | 27 | 3 | null | 0.73 | 11 | 0 | 38 | 2 | 0 | 0 | 0 | 11 | 23 | 90 | 2.1 | 48 |
1,626 | typing | https://github.com/instagram/monkeytype | ['static', 'annotation', 'runtime', 'code-quality'] | null | [] | [] | 1 | null | null | instagram/monkeytype | MonkeyType | 4,445 | 168 | 54 | Python | null | A Python library that generates static type annotations by collecting runtime types | instagram | 2024-01-13 | 2017-07-11 | 342 | 12.997076 | https://avatars.githubusercontent.com/u/549085?v=4 | A Python library that generates static type annotations by collecting runtime types | [] | ['annotation', 'code-quality', 'runtime', 'static'] | 2024-01-13 | [('google/pytype', 0.8035555481910706, 'typing', 1), ('microsoft/pyright', 0.7293500900268555, 'typing', 1), ('python/typeshed', 0.723702609539032, 'typing', 1), ('python/mypy', 0.7129145264625549, 'typing', 1), ('facebook/pyre-check', 0.6643034815788269, 'typing', 1), ('agronholm/typeguard', 0.6599376201629639, 'typin... | 48 | 5 | null | 0.27 | 18 | 12 | 79 | 0 | 0 | 3 | 3 | 18 | 19 | 90 | 1.1 | 48 |
711 | data | https://github.com/jazzband/tablib | [] | null | [] | [] | null | null | null | jazzband/tablib | tablib | 4,426 | 588 | 137 | Python | https://tablib.readthedocs.io/ | Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. | jazzband | 2024-01-13 | 2011-03-28 | 670 | 6.604562 | https://avatars.githubusercontent.com/u/15129049?v=4 | Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. | [] | [] | 2024-01-01 | [('astanin/python-tabulate', 0.6442596316337585, 'util', 0), ('zoomeranalytics/xlwings', 0.5972012877464294, 'data', 0), ('jmcnamara/xlsxwriter', 0.5911999344825745, 'data', 0), ('wireservice/csvkit', 0.5830636620521545, 'util', 0), ('vaexio/vaex', 0.575348973274231, 'perf', 0), ('saulpw/visidata', 0.5593103170394897, ... | 125 | 8 | null | 0.63 | 15 | 14 | 156 | 0 | 2 | 4 | 2 | 15 | 32 | 90 | 2.1 | 48 |
786 | ml-ops | https://github.com/orchest/orchest | [] | null | [] | [] | null | null | null | orchest/orchest | orchest | 4,005 | 253 | 43 | TypeScript | https://orchest.readthedocs.io/en/stable/ | Build data pipelines, the easy way 🛠️ | orchest | 2024-01-14 | 2020-05-21 | 192 | 20.782061 | https://avatars.githubusercontent.com/u/62945975?v=4 | Build data pipelines, the easy way 🛠️ | ['airflow', 'cloud', 'dag', 'data-pipelines', 'data-science', 'deployment', 'docker', 'etl', 'etl-pipeline', 'ide', 'jupyter', 'jupyterlab', 'kubernetes', 'machine-learning', 'notebooks', 'orchest', 'pipelines', 'self-hosted'] | ['airflow', 'cloud', 'dag', 'data-pipelines', 'data-science', 'deployment', 'docker', 'etl', 'etl-pipeline', 'ide', 'jupyter', 'jupyterlab', 'kubernetes', 'machine-learning', 'notebooks', 'orchest', 'pipelines', 'self-hosted'] | 2023-06-06 | [('ploomber/ploomber', 0.862511932849884, 'ml-ops', 5), ('mage-ai/mage-ai', 0.7309496402740479, 'ml-ops', 5), ('airbytehq/airbyte', 0.7260224223136902, 'data', 2), ('bodywork-ml/bodywork-core', 0.6645437479019165, 'ml-ops', 3), ('dagster-io/dagster', 0.6582160592079163, 'ml-ops', 3), ('netflix/metaflow', 0.653256773948... | 31 | 4 | null | 0.38 | 2 | 0 | 44 | 7 | 5 | 56 | 5 | 2 | 7 | 90 | 3.5 | 48 |
1,279 | viz | https://github.com/pyqtgraph/pyqtgraph | [] | null | [] | [] | null | null | null | pyqtgraph/pyqtgraph | pyqtgraph | 3,554 | 1,054 | 153 | Python | https://www.pyqtgraph.org | Fast data visualization and GUI tools for scientific / engineering applications | pyqtgraph | 2024-01-14 | 2013-09-12 | 541 | 6.560654 | https://avatars.githubusercontent.com/u/5440571?v=4 | Fast data visualization and GUI tools for scientific / engineering applications | ['numpy', 'qt', 'scientific-visualization', 'visualization'] | ['numpy', 'qt', 'scientific-visualization', 'visualization'] | 2023-12-21 | [('enthought/mayavi', 0.734231173992157, 'viz', 2), ('holoviz/holoviz', 0.6720275282859802, 'viz', 0), ('altair-viz/altair', 0.6555560827255249, 'viz', 1), ('marcomusy/vedo', 0.6459553241729736, 'viz', 3), ('mwaskom/seaborn', 0.6456829905509949, 'viz', 0), ('numpy/numpy', 0.6338181495666504, 'math', 1), ('matplotlib/ma... | 267 | 5 | null | 3.69 | 83 | 42 | 126 | 1 | 2 | 3 | 2 | 83 | 140 | 90 | 1.7 | 48 |
1,060 | ml-rl | https://github.com/deepmind/dm_control | [] | null | [] | [] | null | null | null | deepmind/dm_control | dm_control | 3,414 | 638 | 128 | Python | null | Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. | deepmind | 2024-01-13 | 2017-12-29 | 317 | 10.750337 | https://avatars.githubusercontent.com/u/8596759?v=4 | Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. | ['artificial-intelligence', 'deep-learning', 'machine-learning', 'mujoco', 'neural-networks', 'physics-simulation', 'reinforcement-learning'] | ['artificial-intelligence', 'deep-learning', 'machine-learning', 'mujoco', 'neural-networks', 'physics-simulation', 'reinforcement-learning'] | 2024-01-12 | [('tensorlayer/tensorlayer', 0.654015064239502, 'ml-rl', 3), ('google/trax', 0.6313595771789551, 'ml-dl', 3), ('unity-technologies/ml-agents', 0.6150110363960266, 'ml-rl', 4), ('openai/mujoco-py', 0.5940796732902527, 'sim', 0), ('tensorflow/tensor2tensor', 0.5927808880805969, 'ml', 3), ('keras-rl/keras-rl', 0.590694010... | 41 | 3 | null | 1.04 | 28 | 17 | 74 | 0 | 7 | 4 | 7 | 27 | 34 | 90 | 1.3 | 48 |
1,695 | util | https://github.com/asottile/pyupgrade | ['pre-commit', 'code-quality'] | null | [] | [] | null | null | null | asottile/pyupgrade | pyupgrade | 3,044 | 171 | 35 | Python | null | A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language. | asottile | 2024-01-12 | 2017-02-28 | 361 | 8.432133 | null | A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language. | ['linter', 'pre-commit'] | ['code-quality', 'linter', 'pre-commit'] | 2024-01-08 | [('pre-commit/pre-commit', 0.6998698115348816, 'util', 3), ('callowayproject/bump-my-version', 0.5788130760192871, 'util', 1), ('psf/black', 0.5597057342529297, 'util', 1), ('thudm/codegeex', 0.5523767471313477, 'llm', 0)] | 35 | 4 | null | 1.52 | 23 | 19 | 84 | 0 | 0 | 24 | 24 | 23 | 36 | 90 | 1.6 | 48 |
1,773 | jupyter | https://github.com/jupyter-widgets/ipywidgets | [] | null | [] | [] | null | null | null | jupyter-widgets/ipywidgets | ipywidgets | 2,976 | 942 | 76 | TypeScript | https://ipywidgets.readthedocs.io | Interactive Widgets for the Jupyter Notebook | jupyter-widgets | 2024-01-13 | 2015-04-17 | 458 | 6.48972 | https://avatars.githubusercontent.com/u/25869250?v=4 | Interactive Widgets for the Jupyter Notebook | ['jupyter-notebooks', 'jupyterlab-extension'] | ['jupyter-notebooks', 'jupyterlab-extension'] | 2023-12-19 | [('jupyter/notebook', 0.8538753390312195, 'jupyter', 0), ('voila-dashboards/voila', 0.7114137411117554, 'jupyter', 1), ('jupyterlab/jupyterlab-desktop', 0.7082852721214294, 'jupyter', 0), ('jupyter/nbformat', 0.7056740522384644, 'jupyter', 0), ('aws/graph-notebook', 0.687077522277832, 'jupyter', 0), ('bloomberg/ipydata... | 212 | 9 | null | 1.75 | 61 | 5 | 106 | 1 | 5 | 143 | 5 | 61 | 62 | 90 | 1 | 48 |
577 | ml-dl | https://github.com/alpa-projects/alpa | [] | null | [] | [] | null | null | null | alpa-projects/alpa | alpa | 2,921 | 343 | 46 | Python | https://alpa.ai | Training and serving large-scale neural networks with auto parallelization. | alpa-projects | 2024-01-14 | 2021-02-22 | 153 | 19.073694 | https://avatars.githubusercontent.com/u/82711759?v=4 | Training and serving large-scale neural networks with auto parallelization. | ['alpa', 'auto-parallelization', 'compiler', 'deep-learning', 'distributed-computing', 'distributed-training', 'high-performance-computing', 'jax', 'llm', 'machine-learning'] | ['alpa', 'auto-parallelization', 'compiler', 'deep-learning', 'distributed-computing', 'distributed-training', 'high-performance-computing', 'jax', 'llm', 'machine-learning'] | 2023-12-09 | [('paddlepaddle/paddle', 0.7082504034042358, 'ml-dl', 3), ('horovod/horovod', 0.6610665321350098, 'ml-ops', 2), ('microsoft/nni', 0.6484193205833435, 'ml', 2), ('keras-team/autokeras', 0.6452708840370178, 'ml-dl', 2), ('ray-project/ray', 0.6443263292312622, 'ml-ops', 2), ('microsoft/onnxruntime', 0.6340340971946716, 'm... | 45 | 6 | null | 0.67 | 28 | 6 | 35 | 1 | 1 | 5 | 1 | 28 | 26 | 90 | 0.9 | 48 |
702 | ml | https://github.com/mljar/mljar-supervised | [] | null | [] | [] | null | null | null | mljar/mljar-supervised | mljar-supervised | 2,858 | 372 | 45 | Python | https://mljar.com | Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation | mljar | 2024-01-13 | 2018-11-05 | 273 | 10.463389 | https://avatars.githubusercontent.com/u/20522384?v=4 | Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation | ['automated-machine-learning', 'automatic-machine-learning', 'automl', 'catboost', 'data-science', 'decision-tree', 'ensemble', 'feature-engineering', 'hyper-parameters', 'hyperparameter-optimization', 'lightgbm', 'machine-learning', 'mljar', 'models-tuning', 'neural-network', 'random-forest', 'scikit-learn', 'shap', '... | ['automated-machine-learning', 'automatic-machine-learning', 'automl', 'catboost', 'data-science', 'decision-tree', 'ensemble', 'feature-engineering', 'hyper-parameters', 'hyperparameter-optimization', 'lightgbm', 'machine-learning', 'mljar', 'models-tuning', 'neural-network', 'random-forest', 'scikit-learn', 'shap', '... | 2024-01-08 | [('microsoft/flaml', 0.7940219044685364, 'ml', 7), ('awslabs/autogluon', 0.7640585899353027, 'ml', 6), ('microsoft/nni', 0.6952623724937439, 'ml', 7), ('automl/auto-sklearn', 0.6622180938720703, 'ml', 4), ('keras-team/autokeras', 0.6605311036109924, 'ml-dl', 3), ('featurelabs/featuretools', 0.645880401134491, 'ml', 6),... | 25 | 3 | null | 2.15 | 37 | 11 | 63 | 0 | 6 | 11 | 6 | 37 | 68 | 90 | 1.8 | 48 |
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