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113 | nlp | https://github.com/huggingface/transformers | [] | null | ['1910.03771'] | ['transformers'] | null | null | null | huggingface/transformers | transformers | 118,552 | 23,729 | 1,069 | Python | https://huggingface.co/transformers | 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | huggingface | 2024-01-14 | 2018-10-29 | 274 | 432.446066 | https://avatars.githubusercontent.com/u/25720743?v=4 | 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | ['bert', 'deep-learning', 'flax', 'jax', 'language-model', 'language-models', 'machine-learning', 'model-hub', 'natural-language-processing', 'nlp', 'nlp-library', 'pretrained-models', 'pytorch', 'pytorch-transformers', 'seq2seq', 'speech-recognition', 'tensorflow', 'transformer'] | ['bert', 'deep-learning', 'flax', 'jax', 'language-model', 'language-models', 'machine-learning', 'model-hub', 'natural-language-processing', 'nlp', 'nlp-library', 'pretrained-models', 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('ourownstory/neural_prophet', 0.5077774524688721, 'ml', 3), ('fastai/fastcore', 0.5071895718574524, 'util', 0), ('probml/pyprobml', 0.5070176124572754, 'ml', 5), ('docarray/docarray', 0.5064188241958618, 'data', 3), ('ofa-sys/ofa', 0.5054358243942261, 'llm', 1), ('apple/ml-ane-transformers', 0.5047073364257812, 'ml', 0), ('microsoft/generative-ai-for-beginners', 0.5024099946022034, 'study', 1), ('hiyouga/llama-factory', 0.5012959241867065, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5012958645820618, 'llm', 1), ('pycaret/pycaret', 0.5007736682891846, 'ml', 1)] | 2,351 | 3 | null | 76.73 | 2,442 | 1,872 | 63 | 0 | 29 | 28 | 29 | 2,439 | 7,500 | 90 | 3.1 | 94 |
77 | ml-dl | https://github.com/pytorch/pytorch | [] | null | ['1912.01703'] | ['torch'] | null | null | null | pytorch/pytorch | pytorch | 74,404 | 20,452 | 1,679 | Python | https://pytorch.org | Tensors and Dynamic neural networks in Python with strong GPU acceleration | pytorch | 2024-01-14 | 2016-08-13 | 389 | 191.059428 | https://avatars.githubusercontent.com/u/21003710?v=4 | Tensors and Dynamic neural networks in Python with strong GPU acceleration | ['autograd', 'deep-learning', 'gpu', 'machine-learning', 'neural-network', 'numpy', 'tensor'] | ['autograd', 'deep-learning', 'gpu', 'machine-learning', 'neural-network', 'numpy', 'tensor'] | 2024-01-14 | [('ggerganov/ggml', 0.6398614645004272, 'ml', 1), ('google/tf-quant-finance', 0.6339718103408813, 'finance', 1), ('tensorly/tensorly', 0.6296373605728149, 'ml-dl', 3), ('arogozhnikov/einops', 0.624183177947998, 'ml-dl', 3), ('nvidia/tensorrt-llm', 0.61689293384552, 'viz', 1), ('xl0/lovely-tensors', 0.6134235858917236, 'ml-dl', 1), ('nvidia/warp', 0.6113191843032837, 'sim', 1), ('intel/intel-extension-for-pytorch', 0.6112003922462463, 'perf', 3), ('huggingface/accelerate', 0.5829792022705078, 'ml', 0), ('karpathy/micrograd', 0.5792595744132996, 'study', 0), ('cupy/cupy', 0.5749741196632385, 'math', 3), ('google/jax', 0.5702386498451233, 'ml', 2), ('rafiqhasan/auto-tensorflow', 0.5693333745002747, 'ml-dl', 1), ('jeshraghian/snntorch', 0.5666177272796631, 'ml-dl', 1), ('pytorchlightning/pytorch-lightning', 0.5660499334335327, 'ml-dl', 2), ('pytorch/ignite', 0.5628584623336792, 'ml-dl', 3), ('ageron/handson-ml2', 0.5553191304206848, 'ml', 0), ('plasma-umass/scalene', 0.5483222007751465, 'profiling', 1), ('microsoft/onnxruntime', 0.5476374626159668, 'ml', 2), ('nyandwi/modernconvnets', 0.5467002391815186, 'ml-dl', 0), ('tensorflow/addons', 0.5459487438201904, 'ml', 3), ('artemyk/dynpy', 0.5410839319229126, 'sim', 0), ('facebookincubator/aitemplate', 0.5403209328651428, 'ml-dl', 0), ('lightly-ai/lightly', 0.5388930439949036, 'ml', 2), ('ddbourgin/numpy-ml', 0.5358303189277649, 'ml', 1), ('keras-rl/keras-rl', 0.535692572593689, 'ml-rl', 1), ('xl0/lovely-numpy', 0.5318784713745117, 'util', 2), ('skorch-dev/skorch', 0.5300707817077637, 'ml-dl', 1), ('gradio-app/gradio', 0.5270141959190369, 'viz', 2), ('horovod/horovod', 0.5245367288589478, 'ml-ops', 2), ('exaloop/codon', 0.5243420600891113, 'perf', 0), ('tlkh/tf-metal-experiments', 0.5232517123222351, 'perf', 2), ('tensorlayer/tensorlayer', 0.5231267213821411, 'ml-rl', 2), ('rentruewang/koila', 0.5214821696281433, 'ml', 3), ('ray-project/ray', 0.5206745862960815, 'ml-ops', 2), ('pytorch/glow', 0.5188764929771423, 'ml', 0), ('dmlc/dgl', 0.5178238749504089, 'ml-dl', 1), ('keras-team/autokeras', 0.5157300233840942, 'ml-dl', 2), ('patrick-kidger/torchtyping', 0.5150875449180603, 'typing', 0), ('micropython/micropython', 0.5111660361289978, 'util', 0), ('salesforce/warp-drive', 0.5105277895927429, 'ml-rl', 2), ('facebookresearch/pytorch3d', 0.5076754093170166, 'ml-dl', 0), ('google/trax', 0.5070921778678894, 'ml-dl', 3), ('tensorflow/tensorflow', 0.5070353150367737, 'ml-dl', 3), ('google/gin-config', 0.5066419243812561, 'util', 0), ('tensorflow/mesh', 0.5063491463661194, 'ml-dl', 0), ('d2l-ai/d2l-en', 0.5062558650970459, 'study', 2), ('cvxgrp/pymde', 0.5061772465705872, 'ml', 2), ('eleutherai/gpt-neox', 0.5058263540267944, 'llm', 0), ('pyg-team/pytorch_geometric', 0.503031313419342, 'ml-dl', 1), ('mrdbourke/m1-machine-learning-test', 0.5010038018226624, 'ml', 1), ('denys88/rl_games', 0.5007427930831909, 'ml-rl', 1)] | 4,586 | 4 | null | 238.27 | 9,243 | 6,429 | 90 | 0 | 5 | 579 | 5 | 9,242 | 30,000 | 90 | 3.2 | 90 |
974 | llm | https://github.com/hwchase17/langchain | ['langchain', 'chatbot', 'language-model'] | null | [] | ['langchain'] | 1 | null | null | hwchase17/langchain | langchain | 73,828 | 11,096 | 622 | Python | https://python.langchain.com | ⚡ Building applications with LLMs through composability ⚡ | hwchase17 | 2024-01-14 | 2022-10-17 | 67 | 1,099.565957 | https://avatars.githubusercontent.com/u/126733545?v=4 | ⚡ Building applications with LLMs through composability ⚡ | [] | ['chatbot', 'langchain', 'language-model'] | 2024-01-13 | [('nomic-ai/gpt4all', 0.756317138671875, 'llm', 2), ('deep-diver/llm-as-chatbot', 0.6912153363227844, 'llm', 1), ('thudm/chatglm2-6b', 0.6808525919914246, 'llm', 0), ('pathwaycom/llm-app', 0.6680853366851807, 'llm', 1), ('intel/intel-extension-for-transformers', 0.662899911403656, 'perf', 1), ('microsoft/autogen', 0.6627272963523865, 'llm', 1), ('embedchain/embedchain', 0.652535617351532, 'llm', 0), ('mlc-ai/web-llm', 0.6466255187988281, 'llm', 1), ('agenta-ai/agenta', 0.6438751816749573, 'llm', 1), ('young-geng/easylm', 0.6422194838523865, 'llm', 2), ('chainlit/chainlit', 0.6356831789016724, 'llm', 1), ('langchain-ai/langgraph', 0.6307724118232727, 'llm', 1), ('microsoft/promptflow', 0.6271064877510071, 'llm', 0), ('deepset-ai/haystack', 0.6265890598297119, 'llm', 1), ('microsoft/promptcraft-robotics', 0.6214913129806519, 'sim', 0), ('dylanhogg/llmgraph', 0.6144862174987793, 'ml', 0), ('nat/openplayground', 0.607382595539093, 'llm', 1), ('lm-sys/fastchat', 0.6048544645309448, 'llm', 2), ('run-llama/rags', 0.6003484129905701, 'llm', 1), ('eugeneyan/open-llms', 0.599155068397522, 'study', 0), ('deep-diver/pingpong', 0.589103639125824, 'llm', 0), ('citadel-ai/langcheck', 0.5860381722450256, 'llm', 1), ('chatarena/chatarena', 0.5813690423965454, 'llm', 0), ('li-plus/chatglm.cpp', 0.5806834697723389, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5801489949226379, 'llm', 1), ('shishirpatil/gorilla', 0.5784041285514832, 'llm', 0), ('berriai/litellm', 0.573574423789978, 'llm', 1), ('langchain-ai/chat-langchain', 0.5708911418914795, 'llm', 0), ('zilliztech/gptcache', 0.5693703293800354, 'llm', 2), ('guidance-ai/guidance', 0.5676143765449524, 'llm', 1), ('nvidia/nemo-guardrails', 0.5671313405036926, 'llm', 1), ('ibm/dromedary', 0.5653164386749268, 'llm', 1), ('fasteval/fasteval', 0.5635910630226135, 'llm', 0), ('eth-sri/lmql', 0.5619138479232788, 'llm', 1), ('salesforce/xgen', 0.5602133274078369, 'llm', 1), ('explosion/spacy-llm', 0.5581352710723877, 'llm', 0), ('microsoft/semantic-kernel', 0.5559676289558411, 'llm', 0), ('salesforce/codet5', 0.5549836158752441, 'nlp', 1), ('jina-ai/thinkgpt', 0.5536667704582214, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5530260801315308, 'llm', 1), ('rcgai/simplyretrieve', 0.5519610643386841, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5519071221351624, 'llm', 1), ('hiyouga/llama-factory', 0.5519071221351624, 'llm', 1), ('confident-ai/deepeval', 0.5516130328178406, 'testing', 1), ('langchain-ai/langsmith-cookbook', 0.5514335632324219, 'llm', 1), ('lchen001/llmdrift', 0.5510751008987427, 'llm', 1), ('alphasecio/langchain-examples', 0.5499154925346375, 'llm', 1), ('cheshire-cat-ai/core', 0.5408321619033813, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.5383664965629578, 'llm', 0), ('mmabrouk/chatgpt-wrapper', 0.5374903082847595, 'llm', 1), ('aiwaves-cn/agents', 0.536536693572998, 'nlp', 1), ('tigerlab-ai/tiger', 0.5362697243690491, 'llm', 0), ('next-gpt/next-gpt', 0.5355835556983948, 'llm', 0), ('microsoft/torchscale', 0.5352845788002014, 'llm', 0), ('bigscience-workshop/petals', 0.5341628789901733, 'data', 1), ('minimaxir/simpleaichat', 0.5275580883026123, 'llm', 0), ('openlmlab/moss', 0.5230026245117188, 'llm', 1), ('killianlucas/open-interpreter', 0.5187687873840332, 'llm', 0), ('conceptofmind/toolformer', 0.5181885361671448, 'llm', 1), ('argilla-io/argilla', 0.5174627304077148, 'nlp', 1), ('mlc-ai/mlc-llm', 0.5162545442581177, 'llm', 1), ('ajndkr/lanarky', 0.5159770846366882, 'llm', 0), ('prefecthq/marvin', 0.5155816078186035, 'nlp', 0), ('togethercomputer/openchatkit', 0.5152731537818909, 'nlp', 1), ('langchain-ai/langsmith-sdk', 0.5111579298973083, 'llm', 1), ('rasahq/rasa', 0.5109175443649292, 'llm', 1), ('run-llama/llama-lab', 0.5104470252990723, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5097209215164185, 'llm', 0), ('mnotgod96/appagent', 0.5082905888557434, 'llm', 0), ('logspace-ai/langflow', 0.5081093907356262, 'llm', 1), ('prefecthq/langchain-prefect', 0.5060675740242004, 'llm', 1), ('mooler0410/llmspracticalguide', 0.5019939541816711, 'study', 0)] | 1,838 | 2 | null | 122.67 | 5,689 | 3,714 | 15 | 0 | 309 | 251 | 309 | 5,686 | 11,588 | 90 | 2 | 90 |
190 | util | https://github.com/home-assistant/core | [] | null | [] | ['homeassistant'] | null | null | null | home-assistant/core | core | 65,602 | 26,660 | 1,346 | Python | https://www.home-assistant.io | :house_with_garden: Open source home automation that puts local control and privacy first. | home-assistant | 2024-01-14 | 2013-09-17 | 541 | 121.260628 | https://avatars.githubusercontent.com/u/13844975?v=4 | 🏡 Open source home automation that puts local control and privacy first. | ['asyncio', 'home-automation', 'internet-of-things', 'iot', 'mqtt', 'raspberry-pi'] | ['asyncio', 'home-automation', 'internet-of-things', 'iot', 'mqtt', 'raspberry-pi'] | 2024-01-14 | [('blakeblackshear/frigate', 0.5823681354522705, 'util', 2)] | 3,981 | 4 | null | 269.17 | 9,465 | 6,640 | 126 | 0 | 158 | 116 | 158 | 9,463 | 30,000 | 90 | 3.2 | 88 |
1,519 | util | https://github.com/yt-dlp/yt-dlp | [] | null | [] | [] | null | null | null | yt-dlp/yt-dlp | yt-dlp | 64,022 | 5,251 | 425 | Python | https://discord.gg/H5MNcFW63r | A youtube-dl fork with additional features and fixes | yt-dlp | 2024-01-14 | 2020-10-26 | 170 | 376.283795 | https://avatars.githubusercontent.com/u/79589310?v=4 | A youtube-dl fork with additional features and fixes | ['sponskrub', 'sponsorblock', 'video-downloader', 'youtube-dl', 'youtube-dlc', 'youtube-downloader', 'yt-dlp'] | ['sponskrub', 'sponsorblock', 'video-downloader', 'youtube-dl', 'youtube-dlc', 'youtube-downloader', 'yt-dlp'] | 2024-01-09 | [('pytube/pytube', 0.5481389164924622, 'util', 0)] | 1,421 | 2 | null | 15.33 | 1,162 | 616 | 39 | 0 | 12 | 26 | 12 | 1,164 | 2,319 | 90 | 2 | 87 |
1,174 | llm | https://github.com/ggerganov/llama.cpp | ['llama', 'language-model'] | null | [] | [] | null | null | null | ggerganov/llama.cpp | llama.cpp | 48,751 | 6,952 | 467 | C | null | Port of Facebook's LLaMA model in C/C++ | ggerganov | 2024-01-14 | 2023-03-10 | 46 | 1,046.800613 | null | Port of Facebook's LLaMA model in C/C++ | [] | ['language-model', 'llama'] | 2024-01-13 | [('microsoft/llama-2-onnx', 0.6485655903816223, 'llm', 2), ('facebookresearch/llama-recipes', 0.6467329263687134, 'llm', 2), ('tloen/alpaca-lora', 0.6068325042724609, 'llm', 2), ('abetlen/llama-cpp-python', 0.5961679816246033, 'llm', 2), ('jzhang38/tinyllama', 0.5698243379592896, 'llm', 2), ('facebookresearch/llama', 0.5505987405776978, 'llm', 2), ('run-llama/llama-lab', 0.545893132686615, 'llm', 2), ('karpathy/llama2.c', 0.5367782711982727, 'llm', 2), ('lightning-ai/lit-llama', 0.5175377726554871, 'llm', 2)] | 484 | 6 | null | 35.98 | 1,336 | 836 | 10 | 0 | 1,140 | 1,516 | 1,140 | 1,338 | 5,491 | 90 | 4.1 | 87 |
1,126 | llm | https://github.com/jerryjliu/llama_index | ['llama-index', 'llama', 'language-model'] | null | [] | [] | 1 | null | null | jerryjliu/llama_index | llama_index | 26,670 | 3,389 | 204 | Python | https://docs.llamaindex.ai | LlamaIndex (formerly GPT Index) is a data framework for your LLM applications | jerryjliu | 2024-01-14 | 2022-11-02 | 64 | 411.211454 | https://avatars.githubusercontent.com/u/130722866?v=4 | LlamaIndex (formerly GPT Index) is a data framework for your LLM applications | ['agents', 'application', 'data', 'fine-tuning', 'framework', 'llamaindex', 'llm', 'rag', 'vector-database'] | ['agents', 'application', 'data', 'fine-tuning', 'framework', 'language-model', 'llama', 'llama-index', 'llamaindex', 'llm', 'rag', 'vector-database'] | 2024-01-14 | [('run-llama/llama-hub', 0.6595434546470642, 'data', 1), ('run-llama/llama-lab', 0.6514791250228882, 'llm', 3), ('zilliztech/gptcache', 0.5998677611351013, 'llm', 3), ('bentoml/openllm', 0.5906221866607666, 'ml-ops', 3), ('pathwaycom/llm-app', 0.5804813504219055, 'llm', 3), ('bobazooba/xllm', 0.5593804121017456, 'llm', 2), ('lancedb/lancedb', 0.5558105707168579, 'data', 1), ('confident-ai/deepeval', 0.5483352541923523, 'testing', 2), ('ajndkr/lanarky', 0.5451417565345764, 'llm', 0), ('vllm-project/vllm', 0.5435225963592529, 'llm', 2), ('microsoft/llama-2-onnx', 0.542698860168457, 'llm', 2), ('shishirpatil/gorilla', 0.5362586975097656, 'llm', 1), ('lightning-ai/lit-llama', 0.5328296422958374, 'llm', 2), ('predibase/lorax', 0.5294747352600098, 'llm', 3), ('opengenerativeai/genossgpt', 0.5268757939338684, 'llm', 2), ('tloen/alpaca-lora', 0.5254223942756653, 'llm', 2), ('tigerlab-ai/tiger', 0.5246336460113525, 'llm', 3), ('ray-project/llm-applications', 0.5219264030456543, 'llm', 2), ('h2oai/h2o-llmstudio', 0.5202019214630127, 'llm', 3), ('nebuly-ai/nebullvm', 0.518968403339386, 'perf', 1), ('deepset-ai/haystack', 0.5174872279167175, 'llm', 1), ('eugeneyan/open-llms', 0.5083422660827637, 'study', 1), ('mshumer/gpt-llm-trainer', 0.5029345154762268, 'llm', 0), ('microsoft/semantic-kernel', 0.5002325773239136, 'llm', 1)] | 581 | 2 | null | 46.73 | 1,916 | 1,585 | 15 | 0 | 226 | 198 | 226 | 1,917 | 3,805 | 90 | 2 | 87 |
136 | web | https://github.com/tiangolo/fastapi | [] | null | [] | [] | 1 | null | null | tiangolo/fastapi | fastapi | 66,943 | 5,669 | 656 | Python | https://fastapi.tiangolo.com/ | FastAPI framework, high performance, easy to learn, fast to code, ready for production | tiangolo | 2024-01-14 | 2018-12-08 | 268 | 249.388505 | null | FastAPI framework, high performance, easy to learn, fast to code, ready for production | ['api', 'async', 'asyncio', 'fastapi', 'framework', 'json', 'json-schema', 'openapi', 'openapi3', 'pydantic', 'python-types', 'redoc', 'rest', 'starlette', 'swagger', 'swagger-ui', 'uvicorn', 'web'] | ['api', 'async', 'asyncio', 'fastapi', 'framework', 'json', 'json-schema', 'openapi', 'openapi3', 'pydantic', 'python-types', 'redoc', 'rest', 'starlette', 'swagger', 'swagger-ui', 'uvicorn', 'web'] | 2024-01-13 | [('vitalik/django-ninja', 0.8338611721992493, 'web', 4), ('asacristani/fastapi-rocket-boilerplate', 0.7025260925292969, 'template', 1), ('starlite-api/starlite', 0.6928763389587402, 'web', 7), ('tiangolo/full-stack-fastapi-postgresql', 0.6879447102546692, 'template', 6), ('awtkns/fastapi-crudrouter', 0.6808283925056458, 'web', 10), ('python-restx/flask-restx', 0.6711971163749695, 'web', 4), ('hugapi/hug', 0.6468743085861206, 'util', 0), ('s3rius/fastapi-template', 0.6399540305137634, 'web', 2), ('fastai/fastcore', 0.63350909948349, 'util', 0), ('falconry/falcon', 0.608084499835968, 'web', 4), ('huge-success/sanic', 0.6080839037895203, 'web', 3), ('willmcgugan/textual', 0.6067060232162476, 'term', 1), ('fastapi-users/fastapi-users', 0.599251925945282, 'web', 4), ('rawheel/fastapi-boilerplate', 0.5945311188697815, 'web', 2), ('ml-tooling/opyrator', 0.5786353349685669, 'viz', 2), ('dmontagu/fastapi_client', 0.5745565891265869, 'web', 0), ('ajndkr/lanarky', 0.5630785822868347, 'llm', 2), ('tiangolo/sqlmodel', 0.5522589683532715, 'data', 4), ('shishirpatil/gorilla', 0.5488146543502808, 'llm', 1), ('plotly/dash', 0.5433139801025391, 'viz', 0), ('pyeve/eve', 0.5388421416282654, 'web', 1), ('alirn76/panther', 0.5322808027267456, 'web', 1), ('fastai/ghapi', 0.5305969715118408, 'util', 1), ('klen/muffin', 0.5296502709388733, 'web', 1), ('prefecthq/server', 0.5276178121566772, 'util', 0), ('tiangolo/asyncer', 0.525113582611084, 'perf', 2), ('flet-dev/flet', 0.5213461518287659, 'web', 1), ('neoteroi/blacksheep', 0.5194063782691956, 'web', 3), ('zhanymkanov/fastapi-best-practices', 0.5182605981826782, 'study', 1), ('alphasecio/langchain-examples', 0.5145138502120972, 'llm', 0), ('lucidrains/toolformer-pytorch', 0.5137580037117004, 'llm', 0), ('timofurrer/awesome-asyncio', 0.5137189030647278, 'study', 1), ('meltano/meltano', 0.5132185220718384, 'ml-ops', 0), ('fastapi-admin/fastapi-admin', 0.5084497928619385, 'web', 1), ('magicstack/uvloop', 0.5084176659584045, 'util', 2), ('pallets/flask', 0.5078809857368469, 'web', 0), ('flipkart-incubator/astra', 0.5062249302864075, 'web', 0), ('agronholm/anyio', 0.5019605159759521, 'perf', 1)] | 559 | 2 | null | 9.33 | 526 | 241 | 62 | 0 | 34 | 35 | 34 | 545 | 1,751 | 90 | 3.2 | 86 |
1,335 | llm | https://github.com/oobabooga/text-generation-webui | ['ui', 'language-model'] | null | [] | [] | null | null | null | oobabooga/text-generation-webui | text-generation-webui | 31,018 | 4,217 | 283 | Python | null | A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models. | oobabooga | 2024-01-14 | 2022-12-21 | 57 | 536.11358 | null | A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models. | [] | ['language-model', 'ui'] | 2024-01-14 | [('hannibal046/awesome-llm', 0.65085768699646, 'study', 1), ('mlc-ai/web-llm', 0.6323723793029785, 'llm', 1), ('lianjiatech/belle', 0.6288968324661255, 'llm', 0), ('microsoft/autogen', 0.6154066920280457, 'llm', 0), ('young-geng/easylm', 0.6048070788383484, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5950998663902283, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.5891088843345642, 'llm', 1), ('freedomintelligence/llmzoo', 0.5807399153709412, 'llm', 1), ('lm-sys/fastchat', 0.5752599835395813, 'llm', 1), ('microsoft/llama-2-onnx', 0.5708426833152771, 'llm', 1), ('next-gpt/next-gpt', 0.5688201785087585, 'llm', 0), ('ai21labs/lm-evaluation', 0.5664257407188416, 'llm', 1), ('conceptofmind/toolformer', 0.5621170997619629, 'llm', 1), ('hiyouga/llama-factory', 0.5427017211914062, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5427016019821167, 'llm', 1), ('facebookresearch/llama-recipes', 0.5421599745750427, 'llm', 1), ('lupantech/chameleon-llm', 0.5410828590393066, 'llm', 1), ('run-llama/llama-lab', 0.5403240919113159, 'llm', 1), ('lightning-ai/lit-llama', 0.5357398986816406, 'llm', 1), ('juncongmoo/pyllama', 0.5334741473197937, 'llm', 0), ('cg123/mergekit', 0.5220274925231934, 'llm', 0), ('openlmlab/moss', 0.5163723230361938, 'llm', 1), ('microsoft/lora', 0.5137597918510437, 'llm', 1), ('xtekky/gpt4free', 0.5130376815795898, 'llm', 1), ('dylanhogg/llmgraph', 0.5120260715484619, 'ml', 0), ('langchain-ai/langgraph', 0.5098942518234253, 'llm', 0), ('salesforce/xgen', 0.5097959041595459, 'llm', 1), ('togethercomputer/redpajama-data', 0.5050533413887024, 'llm', 0), ('guidance-ai/guidance', 0.504760205745697, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.5040669441223145, 'llm', 0), ('vitalik/django-ninja', 0.5028524398803711, 'web', 0), ('prefecthq/langchain-prefect', 0.5021174550056458, 'llm', 0), ('bobazooba/xllm', 0.501327633857727, 'llm', 0)] | 290 | 2 | null | 56.17 | 1,313 | 1,044 | 13 | 0 | 25 | 23 | 25 | 1,313 | 3,050 | 90 | 2.3 | 86 |
952 | util | https://github.com/astral-sh/ruff | ['code-quality'] | null | [] | [] | null | null | null | astral-sh/ruff | ruff | 22,091 | 731 | 69 | Rust | https://docs.astral.sh/ruff | An extremely fast Python linter and code formatter, written in Rust. | astral-sh | 2024-01-14 | 2022-08-09 | 77 | 286.896104 | https://avatars.githubusercontent.com/u/115962839?v=4 | An extremely fast Python linter and code formatter, written in Rust. | ['linter', 'pep8', 'ruff', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide'] | ['code-quality', 'linter', 'pep8', 'ruff', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide'] | 2024-01-14 | [('google/pytype', 0.6849864721298218, 'typing', 4), ('grantjenks/blue', 0.6735846996307373, 'util', 1), ('psf/black', 0.6487815976142883, 'util', 1), ('aswinnnn/pyscan', 0.6466583609580994, 'security', 2), ('rustpython/rustpython', 0.6286622881889343, 'util', 1), ('instagram/monkeytype', 0.6186012029647827, 'typing', 1), ('google/yapf', 0.6007269024848938, 'util', 1), ('pytoolz/toolz', 0.5842194557189941, 'util', 0), ('pycqa/flake8', 0.5777422785758972, 'util', 7), ('landscapeio/prospector', 0.5776445269584656, 'util', 0), ('pypy/pypy', 0.5697559118270874, 'util', 0), ('pola-rs/polars', 0.5693628787994385, 'pandas', 1), ('pycqa/pylint', 0.569158136844635, 'util', 5), ('samuelcolvin/rtoml', 0.5641447305679321, 'data', 1), ('pyo3/maturin', 0.556878387928009, 'util', 1), ('mynameisfiber/high_performance_python_2e', 0.542158305644989, 'study', 0), ('crytic/slither', 0.5403991937637329, 'crypto', 1), ('hhatto/autopep8', 0.5378404259681702, 'util', 1), ('tiangolo/typer', 0.5375232100486755, 'term', 0), ('python/mypy', 0.533256471157074, 'typing', 2), ('rubik/radon', 0.528230607509613, 'util', 1), ('numba/llvmlite', 0.5217279195785522, 'util', 0), ('nedbat/coveragepy', 0.5197017788887024, 'testing', 0), ('pyston/pyston', 0.5196829438209534, 'util', 0), ('mdmzfzl/neetcode-solutions', 0.519241452217102, 'study', 1), ('klen/pylama', 0.5164267420768738, 'util', 1), ('facebookincubator/cinder', 0.5143499374389648, 'perf', 0), ('python/cpython', 0.5113768577575684, 'util', 0), ('mito-ds/monorepo', 0.5106766223907471, 'jupyter', 0), ('python/typeshed', 0.5103850364685059, 'typing', 1), ('pycqa/mccabe', 0.509772777557373, 'util', 0), ('klen/py-frameworks-bench', 0.5096173882484436, 'perf', 0), ('facebook/pyre-check', 0.5057628154754639, 'typing', 2), ('fchollet/deep-learning-with-python-notebooks', 0.5036055445671082, 'study', 0), ('willmcgugan/rich', 0.5019975900650024, 'term', 0), ('ta-lib/ta-lib-python', 0.5013483166694641, 'finance', 0), ('fastai/fastcore', 0.5008984804153442, 'util', 0)] | 344 | 3 | null | 80.87 | 1,804 | 1,453 | 17 | 0 | 86 | 205 | 86 | 1,800 | 4,554 | 90 | 2.5 | 86 |
1,171 | llm | https://github.com/torantulino/auto-gpt | ['autonomous-agents'] | null | [] | [] | null | null | null | torantulino/auto-gpt | AutoGPT | 156,295 | 39,233 | 1,550 | JavaScript | https://agpt.co | AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. | torantulino | 2024-01-14 | 2023-03-16 | 45 | 3,418.953125 | https://avatars.githubusercontent.com/u/130738209?v=4 | AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. | ['ai', 'artificial-intelligence', 'autonomous-agents', 'gpt-4', 'openai'] | ['ai', 'artificial-intelligence', 'autonomous-agents', 'gpt-4', 'openai'] | 2024-01-12 | [('antonosika/gpt-engineer', 0.6554578542709351, 'llm', 3), ('assafelovic/gpt-researcher', 0.6427838802337646, 'llm', 0), ('yoheinakajima/babyagi', 0.6121024489402771, 'llm', 2), ('transformeroptimus/superagi', 0.6111651659011841, 'llm', 5), ('mindsdb/mindsdb', 0.5791462659835815, 'data', 2), ('oneil512/insight', 0.5754587054252625, 'ml', 1), ('microsoft/lmops', 0.5733479261398315, 'llm', 0), ('pytorchlightning/pytorch-lightning', 0.5608023405075073, 'ml-dl', 2), ('awslabs/autogluon', 0.5540371537208557, 'ml', 0), ('linksoul-ai/autoagents', 0.5497490167617798, 'llm', 1), ('prefecthq/marvin', 0.5470284223556519, 'nlp', 2), ('winedarksea/autots', 0.5468161702156067, 'time-series', 0), ('langchain-ai/opengpts', 0.5114303231239319, 'llm', 0), ('minimaxir/aitextgen', 0.5113155841827393, 'llm', 0), ('farizrahman4u/loopgpt', 0.5069693922996521, 'llm', 0), ('huggingface/autotrain-advanced', 0.5032193660736084, 'ml', 0), ('operand/agency', 0.5023353099822998, 'llm', 3), ('keras-team/autokeras', 0.5023127198219299, 'ml-dl', 0)] | 713 | 1 | null | 83.33 | 1,181 | 1,033 | 10 | 0 | 20 | 24 | 20 | 1,165 | 1,990 | 90 | 1.7 | 85 |
40 | ml-dl | https://github.com/keras-team/keras | [] | null | [] | [] | null | null | null | keras-team/keras | keras | 60,166 | 19,523 | 1,912 | Python | http://keras.io/ | Deep Learning for humans | keras-team | 2024-01-14 | 2015-03-28 | 461 | 130.390712 | https://avatars.githubusercontent.com/u/34455048?v=4 | Deep Learning for humans | ['data-science', 'deep-learning', 'jax', 'machine-learning', 'neural-networks', 'pytorch', 'tensorflow'] | ['data-science', 'deep-learning', 'jax', 'machine-learning', 'neural-networks', 'pytorch', 'tensorflow'] | 2024-01-10 | [('explosion/thinc', 0.7295705080032349, 'ml-dl', 5), ('tensorflow/tensorflow', 0.7145187258720398, 'ml-dl', 3), ('google/trax', 0.7093995809555054, 'ml-dl', 3), ('huggingface/transformers', 0.6673086285591125, 'nlp', 5), ('tensorlayer/tensorlayer', 0.6656548976898193, 'ml-rl', 2), ('onnx/onnx', 0.6622923612594604, 'ml', 4), ('mosaicml/composer', 0.6608446836471558, 'ml-dl', 4), ('deepmind/dm-haiku', 0.6441159844398499, 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79 | ml | https://github.com/scikit-learn/scikit-learn | [] | null | ['1201.0490'] | [] | null | null | null | scikit-learn/scikit-learn | scikit-learn | 57,045 | 25,029 | 2,148 | Python | https://scikit-learn.org | scikit-learn: machine learning in Python | scikit-learn | 2024-01-14 | 2010-08-17 | 702 | 81.260684 | https://avatars.githubusercontent.com/u/365630?v=4 | scikit-learn: machine learning in Python | ['data-analysis', 'data-science', 'machine-learning', 'statistics'] | ['data-analysis', 'data-science', 'machine-learning', 'statistics'] | 2024-01-13 | [('rasbt/mlxtend', 0.7584848403930664, 'ml', 2), ('online-ml/river', 0.6860164403915405, 'ml', 2), ('pycaret/pycaret', 0.6792936325073242, 'ml', 2), ('scikit-learn-contrib/metric-learn', 0.6777765154838562, 'ml', 1), ('gradio-app/gradio', 0.6689245700836182, 'viz', 3), ('scikit-learn-contrib/imbalanced-learn', 0.6626807451248169, 'ml', 4), ('featurelabs/featuretools', 0.6306010484695435, 'ml', 2), 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1,175 | util | https://github.com/ggerganov/whisper.cpp | [] | null | [] | [] | null | null | null | ggerganov/whisper.cpp | whisper.cpp | 27,061 | 2,620 | 268 | C | null | Port of OpenAI's Whisper model in C/C++ | ggerganov | 2024-01-14 | 2022-09-25 | 70 | 385.014228 | null | Port of OpenAI's Whisper model in C/C++ | ['inference', 'openai', 'speech-recognition', 'speech-to-text', 'transformer', 'whisper'] | ['inference', 'openai', 'speech-recognition', 'speech-to-text', 'transformer', 'whisper'] | 2024-01-13 | [('sanchit-gandhi/whisper-jax', 0.6906029582023621, 'ml', 3), ('m-bain/whisperx', 0.582147479057312, 'nlp', 3), ('vaibhavs10/insanely-fast-whisper', 0.5495933890342712, 'llm', 1), ('huggingface/transformers', 0.5125561356544495, 'nlp', 2)] | 228 | 5 | null | 9.44 | 454 | 285 | 16 | 0 | 12 | 17 | 12 | 454 | 1,023 | 90 | 2.3 | 85 |
831 | diffusion | https://github.com/automatic1111/stable-diffusion-webui | [] | null | [] | [] | null | null | null | automatic1111/stable-diffusion-webui | stable-diffusion-webui | 117,483 | 23,430 | 969 | Python | null | Stable Diffusion web UI | automatic1111 | 2024-01-14 | 2022-08-22 | 75 | 1,563.461977 | null | Stable Diffusion web UI | ['ai', 'ai-art', 'deep-learning', 'diffusion', 'gradio', 'image-generation', 'image2image', 'img2img', 'pytorch', 'stable-diffusion', 'text2image', 'torch', 'txt2img', 'unstable', 'upscaling', 'web'] | ['ai', 'ai-art', 'deep-learning', 'diffusion', 'gradio', 'image-generation', 'image2image', 'img2img', 'pytorch', 'stable-diffusion', 'text2image', 'torch', 'txt2img', 'unstable', 'upscaling', 'web'] | 2023-12-16 | [('carson-katri/dream-textures', 0.7420854568481445, 'diffusion', 3), ('thereforegames/unprompted', 0.7207518219947815, 'diffusion', 7), ('mlc-ai/web-stable-diffusion', 0.7200703024864197, 'diffusion', 2), ('invoke-ai/invokeai', 0.6788343191146851, 'diffusion', 5), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6511092185974121, 'web', 0), ('stability-ai/stability-sdk', 0.6460036039352417, 'diffusion', 2), ('saharmor/dalle-playground', 0.6440442204475403, 'diffusion', 1), ('comfyanonymous/comfyui', 0.6438121199607849, 'diffusion', 2), ('civitai/sd_civitai_extension', 0.6364338397979736, 'llm', 0), ('nateraw/stable-diffusion-videos', 0.6116631627082825, 'diffusion', 2), ('bentoml/onediffusion', 0.6026777625083923, 'diffusion', 2), ('open-mmlab/mmediting', 0.5722965002059937, 'ml', 5), ('xavierxiao/dreambooth-stable-diffusion', 0.5680199861526489, 'diffusion', 2), ('jina-ai/discoart', 0.560263454914093, 'diffusion', 2), ('huggingface/diffusers', 0.552635669708252, 'diffusion', 7), ('lucidrains/imagen-pytorch', 0.5401318073272705, 'ml-dl', 1), ('compvis/stable-diffusion', 0.5289968252182007, 'diffusion', 2), ('sanster/lama-cleaner', 0.5176366567611694, 'ml-dl', 2), ('ashawkey/stable-dreamfusion', 0.5163194537162781, 'diffusion', 1), ('timothybrooks/instruct-pix2pix', 0.5089647769927979, 'diffusion', 0), ('opentensor/bittensor', 0.5035480856895447, 'ml', 4), ('davidadsp/generative_deep_learning_2nd_edition', 0.5017077922821045, 'study', 2)] | 567 | 1 | null | 41.42 | 1,049 | 554 | 17 | 1 | 18 | 18 | 18 | 1,049 | 2,547 | 90 | 2.4 | 84 |
752 | diffusion | https://github.com/invoke-ai/invokeai | [] | null | [] | ['invokeai'] | null | null | null | invoke-ai/invokeai | InvokeAI | 20,234 | 2,155 | 192 | TypeScript | https://invoke-ai.github.io/InvokeAI/ | InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products. | invoke-ai | 2024-01-14 | 2022-08-17 | 75 | 266.73823 | https://avatars.githubusercontent.com/u/113954515?v=4 | InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products. | ['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'stable-diffusion', 'txt2img', 'windows'] | ['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'stable-diffusion', 'txt2img', 'windows'] | 2024-01-14 | [('automatic1111/stable-diffusion-webui', 0.6788343191146851, 'diffusion', 5), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6325607895851135, 'web', 0), ('carson-katri/dream-textures', 0.6296207904815674, 'diffusion', 2), ('saharmor/dalle-playground', 0.6060563921928406, 'diffusion', 2), ('stability-ai/stability-sdk', 0.5937549471855164, 'diffusion', 4), ('nateraw/stable-diffusion-videos', 0.5912322402000427, 'diffusion', 2), ('open-mmlab/mmediting', 0.5879208445549011, 'ml', 2), ('jina-ai/discoart', 0.55684894323349, 'diffusion', 3), ('thereforegames/unprompted', 0.553229808807373, 'diffusion', 4), ('sanster/lama-cleaner', 0.551865816116333, 'ml-dl', 3), ('lucidrains/deep-daze', 0.5158758163452148, 'ml', 1), ('microsoft/i-code', 0.5126618146896362, 'ml', 0), ('bentoml/bentoml', 0.5075830221176147, 'ml-ops', 0), ('transformeroptimus/superagi', 0.5029866695404053, 'llm', 1)] | 289 | 5 | null | 97.6 | 813 | 600 | 17 | 0 | 42 | 132 | 42 | 813 | 1,048 | 90 | 1.3 | 84 |
1,639 | llm | https://github.com/microsoft/autogen | ['autonomous-agents'] | null | [] | [] | 1 | null | null | microsoft/autogen | autogen | 19,646 | 2,518 | 253 | Jupyter Notebook | https://microsoft.github.io/autogen/ | Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ | microsoft | 2024-01-14 | 2023-08-18 | 23 | 833.466667 | https://avatars.githubusercontent.com/u/6154722?v=4 | Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ | ['agent-based-framework', 'agent-oriented-programming', 'chat', 'chat-application', 'chatbot', 'chatgpt', 'gpt', 'gpt-35-turbo', 'gpt-4', 'llm-agent', 'llm-framework', 'llm-inference', 'llmops'] | ['agent-based-framework', 'agent-oriented-programming', 'autonomous-agents', 'chat', 'chat-application', 'chatbot', 'chatgpt', 'gpt', 'gpt-35-turbo', 'gpt-4', 'llm-agent', 'llm-framework', 'llm-inference', 'llmops'] | 2024-01-14 | [('nomic-ai/gpt4all', 0.716184139251709, 'llm', 2), ('run-llama/rags', 0.713228166103363, 'llm', 2), ('lm-sys/fastchat', 0.7086613774299622, 'llm', 1), ('xtekky/gpt4free', 0.7057386040687561, 'llm', 4), ('next-gpt/next-gpt', 0.7022780776023865, 'llm', 2), ('lianjiatech/belle', 0.6912463903427124, 'llm', 0), ('guidance-ai/guidance', 0.6821621656417847, 'llm', 1), ('hwchase17/langchain', 0.6627272963523865, 'llm', 1), ('hannibal046/awesome-llm', 0.662517249584198, 'study', 1), ('mlc-ai/web-llm', 0.661967396736145, 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1,288 | llm | https://github.com/xtekky/gpt4free | [] | null | [] | [] | null | null | null | xtekky/gpt4free | gpt4free | 51,340 | 12,653 | 436 | Python | https://discord.gg/XfybzPXPH5 | The official gpt4free repository | various collection of powerful language models | xtekky | 2024-01-14 | 2023-03-29 | 43 | 1,170.618893 | null | The official gpt4free repository | various collection of powerful language models | ['chatbot', 'chatbots', 'chatgpt', 'chatgpt-4', 'chatgpt-api', 'chatgpt-free', 'chatgpt4', 'free-gpt', 'gpt', 'gpt-3', 'gpt-4', 'gpt3', 'gpt4', 'gpt4-api', 'language-model', 'openai', 'openai-api', 'openai-chatgpt', 'reverse-engineering'] | ['chatbot', 'chatbots', 'chatgpt', 'chatgpt-4', 'chatgpt-api', 'chatgpt-free', 'chatgpt4', 'free-gpt', 'gpt', 'gpt-3', 'gpt-4', 'gpt3', 'gpt4', 'gpt4-api', 'language-model', 'openai', 'openai-api', 'openai-chatgpt', 'reverse-engineering'] | 2024-01-13 | [('run-llama/rags', 0.7228777408599854, 'llm', 3), ('microsoft/autogen', 0.7057386040687561, 'llm', 4), ('openai/openai-cookbook', 0.6899942755699158, 'ml', 4), ('blinkdl/chatrwkv', 0.6857205033302307, 'llm', 3), ('killianlucas/open-interpreter', 0.6677355766296387, 'llm', 2), ('next-gpt/next-gpt', 0.6495850086212158, 'llm', 2), ('mayooear/gpt4-pdf-chatbot-langchain', 0.642866313457489, 'llm', 2), ('lianjiatech/belle', 0.6404276490211487, 'llm', 0), ('shishirpatil/gorilla', 0.6333321332931519, 'llm', 2), ('hannibal046/awesome-llm', 0.6301591992378235, 'study', 2), ('embedchain/embedchain', 0.6268326640129089, 'llm', 2), ('farizrahman4u/loopgpt', 0.617682158946991, 'llm', 3), ('lm-sys/fastchat', 0.610226035118103, 'llm', 2), ('minimaxir/gpt-2-simple', 0.604681670665741, 'llm', 1), ('bobazooba/xllm', 0.6042348742485046, 'llm', 4), ('promptslab/promptify', 0.6027716398239136, 'nlp', 5), ('lupantech/chameleon-llm', 0.5982718467712402, 'llm', 4), ('mmabrouk/chatgpt-wrapper', 0.5910773277282715, 'llm', 6), ('openlmlab/moss', 0.5782349705696106, 'llm', 2), ('langchain-ai/opengpts', 0.5756799578666687, 'llm', 0), ('mlc-ai/web-llm', 0.5752508640289307, 'llm', 2), ('nomic-ai/gpt4all', 0.5740395784378052, 'llm', 2), ('guardrails-ai/guardrails', 0.5575733184814453, 'llm', 2), ('openai/tiktoken', 0.5542630553245544, 'nlp', 1), ('togethercomputer/openchatkit', 0.5519025325775146, 'nlp', 1), ('haotian-liu/llava', 0.5506402850151062, 'llm', 3), ('vision-cair/minigpt-4', 0.548042356967926, 'llm', 0), ('databrickslabs/dolly', 0.5452688932418823, 'llm', 2), ('minimaxir/simpleaichat', 0.5435710549354553, 'llm', 1), ('guidance-ai/guidance', 0.5423391461372375, 'llm', 2), ('prefecthq/marvin', 0.536582887172699, 'nlp', 3), ('eth-sri/lmql', 0.529441237449646, 'llm', 3), ('eleutherai/gpt-neo', 0.5255731344223022, 'llm', 3), ('laion-ai/open-assistant', 0.5251535177230835, 'llm', 2), ('bigscience-workshop/megatron-deepspeed', 0.5237749814987183, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5237749814987183, 'llm', 0), ('rasahq/rasa', 0.523765504360199, 'llm', 2), ('lucidrains/toolformer-pytorch', 0.5187653303146362, 'llm', 1), ('fasteval/fasteval', 0.5166919827461243, 'llm', 0), ('openai/openai-python', 0.515657901763916, 'util', 1), ('whu-zqh/chatgpt-vs.-bert', 0.5137408971786499, 'llm', 1), ('h2oai/h2ogpt', 0.5131638646125793, 'llm', 2), ('oobabooga/text-generation-webui', 0.5130376815795898, 'llm', 1), ('continuum-llms/chatgpt-memory', 0.5107817053794861, 'llm', 2), ('microsoft/lora', 0.5105166435241699, 'llm', 2), ('dylanhogg/llmgraph', 0.509717583656311, 'ml', 1), ('intel/intel-extension-for-transformers', 0.5091184973716736, 'perf', 1), ('ai4finance-foundation/fingpt', 0.5088690519332886, 'finance', 2), ('mnotgod96/appagent', 0.5081965923309326, 'llm', 2), ('mindsdb/mindsdb', 0.5054675936698914, 'data', 2), ('microsoft/chatgpt-robot-manipulation-prompts', 0.50308758020401, 'llm', 0), ('imartinez/privategpt', 0.5020104646682739, 'llm', 1)] | 173 | 3 | null | 21.31 | 433 | 363 | 10 | 0 | 55 | 73 | 55 | 432 | 907 | 90 | 2.1 | 83 |
1,108 | llm | https://github.com/lm-sys/fastchat | ['chatbot', 'evaluation', 'language-model'] | null | [] | ['fschat'] | null | null | null | lm-sys/fastchat | FastChat | 30,941 | 3,865 | 324 | Python | null | An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena. | lm-sys | 2024-01-14 | 2023-03-19 | 45 | 683.239748 | https://avatars.githubusercontent.com/u/126381704?v=4 | An open platform for training, serving, and evaluating large language models. 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60 | pandas | https://github.com/pandas-dev/pandas | ['data-analysis', 'data-science', 'arrow', 'dataframe'] | null | [] | [] | 1 | null | null | pandas-dev/pandas | pandas | 40,904 | 17,108 | 1,117 | Python | https://pandas.pydata.org | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | pandas-dev | 2024-01-14 | 2010-08-24 | 701 | 58.350927 | https://avatars.githubusercontent.com/u/21206976?v=4 | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | ['alignment', 'data-analysis', 'data-science', 'flexible', 'pandas'] | ['alignment', 'arrow', 'data-analysis', 'data-science', 'dataframe', 'flexible', 'pandas'] | 2024-01-13 | [('unionai-oss/pandera', 0.6850487589836121, 'pandas', 1), ('krzjoa/awesome-python-data-science', 0.6641040444374084, 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1,540 | llm | https://github.com/killianlucas/open-interpreter | [] | null | [] | [] | null | null | null | killianlucas/open-interpreter | open-interpreter | 37,402 | 3,268 | 283 | Python | http://openinterpreter.com/ | A natural language interface for computers | killianlucas | 2024-01-14 | 2023-07-14 | 28 | 1,309.07 | null | A natural language interface for computers | ['chatgpt', 'gpt-4', 'interpreter', 'javascript', 'nodejs'] | ['chatgpt', 'gpt-4', 'interpreter', 'javascript', 'nodejs'] | 2024-01-14 | [('run-llama/rags', 0.6841922998428345, 'llm', 1), ('xtekky/gpt4free', 0.6677355766296387, 'llm', 2), ('mayooear/gpt4-pdf-chatbot-langchain', 0.6425415277481079, 'llm', 0), ('embedchain/embedchain', 0.6413992643356323, 'llm', 1), ('minimaxir/simpleaichat', 0.6259564757347107, 'llm', 1), ('microsoft/autogen', 0.61408931016922, 'llm', 2), ('openai/openai-cookbook', 0.6033370494842529, 'ml', 2), ('mlc-ai/web-llm', 0.6023691892623901, 'llm', 1), ('guidance-ai/guidance', 0.6002689003944397, 'llm', 1), ('blinkdl/chatrwkv', 0.6001401543617249, 'llm', 1), ('openlmlab/moss', 0.5889337062835693, 'llm', 1), ('promptslab/promptify', 0.5764856338500977, 'nlp', 2), ('lm-sys/fastchat', 0.5708563923835754, 'llm', 0), ('lupantech/chameleon-llm', 0.5703567862510681, 'llm', 2), ('togethercomputer/openchatkit', 0.570201575756073, 'nlp', 0), ('databrickslabs/dolly', 0.559283971786499, 'llm', 0), ('lianjiatech/belle', 0.5514397621154785, 'llm', 0), ('whu-zqh/chatgpt-vs.-bert', 0.5495890974998474, 'llm', 1), ('hannibal046/awesome-llm', 0.5456922054290771, 'study', 0), ('next-gpt/next-gpt', 0.5455114841461182, 'llm', 2), ('farizrahman4u/loopgpt', 0.5448848605155945, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.5440534949302673, 'nlp', 0), ('eth-sri/lmql', 0.5410472750663757, 'llm', 1), ('fasteval/fasteval', 0.5310702919960022, 'llm', 0), ('nomic-ai/gpt4all', 0.5259217619895935, 'llm', 0), ('pyscript/pyscript', 0.5255423784255981, 'web', 1), ('bigscience-workshop/promptsource', 0.5243964195251465, 'nlp', 0), ('rasahq/rasa', 0.523764431476593, 'llm', 0), ('prefecthq/marvin', 0.5231456756591797, 'nlp', 0), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5223796367645264, 'llm', 0), ('cheshire-cat-ai/core', 0.5222368240356445, 'llm', 0), ('hwchase17/langchain', 0.5187687873840332, 'llm', 0), ('h2oai/h2ogpt', 0.5181115865707397, 'llm', 1), ('pndurette/gtts', 0.5171147584915161, 'util', 0), ('openai/chatgpt-retrieval-plugin', 0.5168745517730713, 'llm', 1), ('nltk/nltk', 0.5141381621360779, 'nlp', 0), ('shishirpatil/gorilla', 0.5121797323226929, 'llm', 1), ('laion-ai/open-assistant', 0.5087501406669617, 'llm', 1), ('jalammar/ecco', 0.5064843893051147, 'ml-interpretability', 0), ('rcgai/simplyretrieve', 0.5058812499046326, 'llm', 0), ('minimaxir/aitextgen', 0.5057147741317749, 'llm', 0), ('langchain-ai/chat-langchain', 0.5030243396759033, 'llm', 0), ('gventuri/pandas-ai', 0.5016472935676575, 'pandas', 1), ('microsoft/generative-ai-for-beginners', 0.5015537738800049, 'study', 1)] | 74 | 2 | null | 34.79 | 532 | 370 | 6 | 0 | 25 | 55 | 25 | 533 | 1,172 | 90 | 2.2 | 82 |
54 | math | https://github.com/numpy/numpy | [] | null | [] | [] | 1 | null | null | numpy/numpy | numpy | 25,443 | 9,034 | 599 | Python | https://numpy.org | The fundamental package for scientific computing with Python. | numpy | 2024-01-13 | 2010-09-13 | 698 | 36.443831 | https://avatars.githubusercontent.com/u/288276?v=4 | The fundamental package for scientific computing with Python. | ['numpy'] | ['numpy'] | 2024-01-13 | [('scipy/scipy', 0.7627651691436768, 'math', 0), ('roban/cosmolopy', 0.7280952334403992, 'sim', 0), ('pyqtgraph/pyqtgraph', 0.6338181495666504, 'viz', 1), ('marcomusy/vedo', 0.6334555745124817, 'viz', 1), ('cupy/cupy', 0.6240665912628174, 'math', 1), ('google/jax', 0.6223551034927368, 'ml', 1), ('blaze/blaze', 0.6074309349060059, 'pandas', 0), ('scikit-hep/uproot5', 0.5980868935585022, 'data', 1), ('dask/dask', 0.5977861285209656, 'perf', 1), ('enthought/mayavi', 0.5977712869644165, 'viz', 0), ('fredrik-johansson/mpmath', 0.5976458191871643, 'math', 0), ('eleutherai/pyfra', 0.5739134550094604, 'ml', 0), ('jakevdp/pythondatasciencehandbook', 0.5711981654167175, 'study', 1), ('hips/autograd', 0.5689885020256042, 'ml', 0), ('pytoolz/toolz', 0.5658218860626221, 'util', 0), ('pyston/pyston', 0.5655171871185303, 'util', 0), ('sympy/sympy', 0.5636308193206787, 'math', 0), ('luispedro/mahotas', 0.5569568872451782, 'viz', 1), ('scitools/iris', 0.5556809306144714, 'gis', 0), ('xl0/lovely-numpy', 0.5545908808708191, 'util', 1), ('ageron/handson-ml2', 0.5535714626312256, 'ml', 0), ('pypy/pypy', 0.5520856380462646, 'util', 0), ('joblib/joblib', 0.5501325130462646, 'util', 0), ('hgrecco/pint', 0.5478784441947937, 'util', 0), ('python/cpython', 0.5478320121765137, 'util', 0), ('ipython/ipyparallel', 0.5446184277534485, 'perf', 0), ('cma-es/pycma', 0.5440859198570251, 'math', 0), ('scikit-geometry/scikit-geometry', 0.5440155267715454, 'gis', 0), ('pysal/pysal', 0.5434750318527222, 'gis', 0), ('wesm/pydata-book', 0.5418587327003479, 'study', 0), ('pyscf/pyscf', 0.5385183095932007, 'sim', 0), ('connorferster/handcalcs', 0.5350318551063538, 'jupyter', 0), ('altair-viz/altair', 0.5299937129020691, 'viz', 0), ('matplotlib/matplotlib', 0.5291272401809692, 'viz', 0), ('micropython/micropython', 0.5278494358062744, 'util', 0), ('pmorissette/ffn', 0.5275481343269348, 'finance', 0), ('scikit-learn-contrib/metric-learn', 0.5264557003974915, 'ml', 0), ('scikit-learn/scikit-learn', 0.525807797908783, 'ml', 0), ('plasma-umass/scalene', 0.5247296094894409, 'profiling', 0), ('intel/intel-extension-for-pytorch', 0.5218780636787415, 'perf', 0), ('numba/numba', 0.5208587050437927, 'perf', 1), ('gradio-app/gradio', 0.5195870995521545, 'viz', 0), ('nalepae/pandarallel', 0.5160078406333923, 'pandas', 0), ('scikit-image/scikit-image', 0.5151585936546326, 'util', 0), ('cython/cython', 0.5139519572257996, 'util', 0), ('pythonspeed/filprofiler', 0.5123228430747986, 'profiling', 0), ('pycaret/pycaret', 0.5097333192825317, 'ml', 0), ('nvidia/warp', 0.5096368193626404, 'sim', 0), ('earthlab/earthpy', 0.5088415741920471, 'gis', 0), ('goldmansachs/gs-quant', 0.5077769160270691, 'finance', 0), ('huggingface/huggingface_hub', 0.5030168890953064, 'ml', 0)] | 1,729 | 8 | null | 65.15 | 950 | 712 | 162 | 0 | 12 | 17 | 12 | 950 | 2,663 | 90 | 2.8 | 82 |
1,405 | llm | https://github.com/vllm-project/vllm | [] | null | [] | [] | 1 | null | null | vllm-project/vllm | vllm | 13,183 | 1,567 | 138 | Python | https://docs.vllm.ai | A high-throughput and memory-efficient inference and serving engine for LLMs | vllm-project | 2024-01-14 | 2023-02-09 | 50 | 259.946479 | https://avatars.githubusercontent.com/u/136984999?v=4 | A high-throughput and memory-efficient inference and serving engine for LLMs | ['gpt', 'inference', 'llama', 'llm', 'llm-serving', 'llmops', 'mlops', 'model-serving', 'pytorch', 'transformer'] | ['gpt', 'inference', 'llama', 'llm', 'llm-serving', 'llmops', 'mlops', 'model-serving', 'pytorch', 'transformer'] | 2024-01-12 | [('predibase/lorax', 0.7764987945556641, 'llm', 7), ('bentoml/openllm', 0.7688142657279968, 'ml-ops', 5), ('ray-project/ray-llm', 0.7471011877059937, 'llm', 3), ('bigscience-workshop/petals', 0.6905003190040588, 'data', 4), ('sjtu-ipads/powerinfer', 0.6339587569236755, 'llm', 2), ('microsoft/jarvis', 0.632617175579071, 'llm', 1), ('microsoft/llmlingua', 0.6239213347434998, 'llm', 1), ('bobazooba/xllm', 0.6193138957023621, 'llm', 4), ('iryna-kondr/scikit-llm', 0.6003293395042419, 'llm', 1), ('titanml/takeoff', 0.5988606214523315, 'llm', 3), ('intel/intel-extension-for-transformers', 0.5956281423568726, 'perf', 0), ('salesforce/xgen', 0.58912593126297, 'llm', 1), ('artidoro/qlora', 0.5857405066490173, 'llm', 0), ('microsoft/torchscale', 0.582655668258667, 'llm', 1), ('tairov/llama2.mojo', 0.5809930562973022, 'llm', 2), ('explosion/spacy-llm', 0.5805611610412598, 'llm', 2), ('lightning-ai/lit-gpt', 0.5720106959342957, 'llm', 0), ('alpha-vllm/llama2-accessory', 0.5688649415969849, 'llm', 0), ('eugeneyan/open-llms', 0.5680029988288879, 'study', 1), ('pathwaycom/llm-app', 0.5676781535148621, 'llm', 2), ('microsoft/semantic-kernel', 0.564845621585846, 'llm', 1), ('nvidia/tensorrt-llm', 0.5639804601669312, 'viz', 0), ('young-geng/easylm', 0.5622703433036804, 'llm', 2), ('truera/trulens', 0.5575326681137085, 'llm', 2), ('deepset-ai/haystack', 0.5563030242919922, 'llm', 1), ('nebuly-ai/nebullvm', 0.5560014247894287, 'perf', 1), ('squeezeailab/squeezellm', 0.5539712309837341, 'llm', 3), ('opengenerativeai/genossgpt', 0.5517637133598328, 'llm', 4), ('tigerlab-ai/tiger', 0.5497113466262817, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5451328754425049, 'llm', 3), ('neuralmagic/deepsparse', 0.5437913537025452, 'nlp', 1), ('jerryjliu/llama_index', 0.5435225963592529, 'llm', 2), ('nomic-ai/gpt4all', 0.5424882769584656, 'llm', 0), ('zilliztech/gptcache', 0.540032148361206, 'llm', 3), ('huggingface/optimum', 0.5363191962242126, 'ml', 2), ('hiyouga/llama-factory', 0.5355907678604126, 'llm', 3), ('hiyouga/llama-efficient-tuning', 0.5355907082557678, 'llm', 3), ('mooler0410/llmspracticalguide', 0.5348982810974121, 'study', 0), ('optimalscale/lmflow', 0.5301596522331238, 'llm', 2), ('microsoft/autogen', 0.5299646854400635, 'llm', 2), ('citadel-ai/langcheck', 0.5279338359832764, 'llm', 0), ('shishirpatil/gorilla', 0.5265129208564758, 'llm', 1), ('huggingface/text-generation-inference', 0.5211599469184875, 'llm', 4), ('lianjiatech/belle', 0.5205905437469482, 'llm', 1), ('argilla-io/argilla', 0.5203900337219238, 'nlp', 2), ('skypilot-org/skypilot', 0.5184321403503418, 'llm', 1), ('lightning-ai/lit-llama', 0.5155295729637146, 'llm', 1), ('ludwig-ai/ludwig', 0.5144979357719421, 'ml-ops', 3), ('exaloop/codon', 0.5132838487625122, 'perf', 0), ('microsoft/lmops', 0.5128405094146729, 'llm', 2), ('night-chen/toolqa', 0.5108919143676758, 'llm', 0), ('microsoft/promptflow', 0.5073052048683167, 'llm', 2), ('lancedb/lancedb', 0.5034992694854736, 'data', 0), ('ray-project/llm-applications', 0.5022127032279968, 'llm', 0), ('opengvlab/omniquant', 0.5003920197486877, 'llm', 1)] | 152 | 5 | null | 12.31 | 1,343 | 612 | 11 | 0 | 17 | 20 | 17 | 1,342 | 3,569 | 90 | 2.7 | 82 |
1,542 | llm | https://github.com/h2oai/h2ogpt | ['question-answering'] | null | [] | [] | null | null | null | h2oai/h2ogpt | h2ogpt | 9,412 | 1,153 | 141 | Python | http://h2o.ai | Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/ | h2oai | 2024-01-14 | 2023-03-24 | 44 | 211.166667 | https://avatars.githubusercontent.com/u/1402695?v=4 | Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/ | ['ai', 'chatgpt', 'embeddings', 'generative', 'gpt', 'gpt4all', 'llama2', 'llm', 'mixtral', 'pdf', 'private', 'privategpt', 'vectorstore'] | ['ai', 'chatgpt', 'embeddings', 'generative', 'gpt', 'gpt4all', 'llama2', 'llm', 'mixtral', 'pdf', 'private', 'privategpt', 'question-answering', 'vectorstore'] | 2024-01-14 | [('imartinez/privategpt', 0.6058406233787537, 'llm', 0), ('mayooear/gpt4-pdf-chatbot-langchain', 0.5983483195304871, 'llm', 1), ('bhaskatripathi/pdfgpt', 0.5438480377197266, 'llm', 0), ('run-llama/rags', 0.5400290489196777, 'llm', 2), ('killianlucas/open-interpreter', 0.5181115865707397, 'llm', 1), ('openai/openai-cookbook', 0.5150684714317322, 'ml', 1), ('xtekky/gpt4free', 0.5131638646125793, 'llm', 2), ('openai/chatgpt-retrieval-plugin', 0.5049951076507568, 'llm', 1)] | 67 | 7 | null | 92.04 | 380 | 305 | 10 | 0 | 70 | 86 | 70 | 380 | 861 | 90 | 2.3 | 82 |
14 | web | https://github.com/django/django | [] | null | [] | [] | null | null | null | django/django | django | 75,018 | 30,779 | 2,295 | Python | https://www.djangoproject.com/ | The Web framework for perfectionists with deadlines. | django | 2024-01-14 | 2012-04-28 | 613 | 122.292967 | https://avatars.githubusercontent.com/u/27804?v=4 | The Web framework for perfectionists with deadlines. | ['apps', 'django', 'framework', 'models', 'orm', 'templates', 'views', 'web'] | ['apps', 'django', 'framework', 'models', 'orm', 'templates', 'views', 'web'] | 2024-01-12 | [('emmett-framework/emmett', 0.6188867688179016, 'web', 0), ('wagtail/wagtail', 0.5955774188041687, 'web', 1), ('pallets/flask', 0.5927203893661499, 'web', 0), ('feincms/feincms', 0.5812693238258362, 'web', 0), ('stephenmcd/mezzanine', 0.5459080934524536, 'web', 1), ('bottlepy/bottle', 0.5293058156967163, 'web', 0), ('pylons/pyramid', 0.5236054062843323, 'web', 0), ('piccolo-orm/piccolo_admin', 0.5213547348976135, 'data', 0), ('indico/indico', 0.514659583568573, 'web', 0), ('reflex-dev/reflex', 0.5036461353302002, 'web', 1), ('willmcgugan/textual', 0.5026986598968506, 'term', 1), ('klen/muffin', 0.5025768876075745, 'web', 0), ('pallets/jinja', 0.5016000270843506, 'util', 1)] | 3,047 | 6 | null | 17.88 | 443 | 366 | 143 | 1 | 0 | 34 | 34 | 443 | 968 | 90 | 2.2 | 81 |
1,419 | viz | https://github.com/apache/superset | [] | null | [] | [] | null | null | null | apache/superset | superset | 56,148 | 12,096 | 1,492 | TypeScript | https://superset.apache.org/ | Apache Superset is a Data Visualization and Data Exploration Platform | apache | 2024-01-14 | 2015-07-21 | 445 | 126.175281 | https://avatars.githubusercontent.com/u/47359?v=4 | Apache Superset is a Data Visualization and Data Exploration Platform | ['analytics', 'apache', 'apache-superset', 'asf', 'bi', 'business-analytics', 'business-intelligence', 'data-analysis', 'data-analytics', 'data-engineering', 'data-science', 'data-visualization', 'data-viz', 'flask', 'react', 'sql-editor', 'superset'] | ['analytics', 'apache', 'apache-superset', 'asf', 'bi', 'business-analytics', 'business-intelligence', 'data-analysis', 'data-analytics', 'data-engineering', 'data-science', 'data-visualization', 'data-viz', 'flask', 'react', 'sql-editor', 'superset'] | 2024-01-13 | [('apache/airflow', 0.5265361070632935, 'ml-ops', 3), ('apache/spark', 0.5012211203575134, 'data', 0)] | 1,064 | 4 | null | 31.83 | 1,198 | 639 | 103 | 0 | 63 | 55 | 63 | 1,197 | 2,168 | 90 | 1.8 | 81 |
980 | llm | https://github.com/laion-ai/open-assistant | [] | null | ['2304.07327'] | [] | 1 | null | null | laion-ai/open-assistant | Open-Assistant | 36,115 | 3,277 | 418 | Python | https://open-assistant.io | OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. | laion-ai | 2024-01-14 | 2022-12-13 | 59 | 612.118644 | https://avatars.githubusercontent.com/u/92627801?v=4 | OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. | ['ai', 'assistant', 'chatgpt', 'discord-bot', 'language-model', 'machine-learning', 'nextjs', 'rlhf'] | ['ai', 'assistant', 'chatgpt', 'discord-bot', 'language-model', 'machine-learning', 'nextjs', 'rlhf'] | 2024-01-06 | [('embedchain/embedchain', 0.618574321269989, 'llm', 2), ('togethercomputer/openchatkit', 0.6049430966377258, 'nlp', 0), ('rasahq/rasa', 0.5849403738975525, 'llm', 1), ('openai/openai-cookbook', 0.5750684142112732, 'ml', 1), ('deeppavlov/deeppavlov', 0.563031792640686, 'nlp', 2), ('langchain-ai/opengpts', 0.5428431034088135, 'llm', 1), ('run-llama/rags', 0.5403715968132019, 'llm', 1), ('larsbaunwall/bricky', 0.5381844639778137, 'llm', 2), ('xtekky/gpt4free', 0.5251535177230835, 'llm', 2), ('openai/tiktoken', 0.5184189677238464, 'nlp', 1), ('blinkdl/chatrwkv', 0.5142605900764465, 'llm', 2), ('krohling/bondai', 0.5133852362632751, 'llm', 0), ('killianlucas/open-interpreter', 0.5087501406669617, 'llm', 1), ('openlmlab/moss', 0.5062494874000549, 'llm', 2), ('lm-sys/fastchat', 0.5022433996200562, 'llm', 1), ('aimhubio/aim', 0.5019581913948059, 'ml-ops', 2), ('openai/openai-python', 0.5009532570838928, 'util', 0)] | 305 | 2 | null | 31.42 | 52 | 41 | 13 | 0 | 113 | 119 | 113 | 51 | 71 | 90 | 1.4 | 81 |
860 | llm | https://github.com/hpcaitech/colossalai | [] | null | [] | ['colossalai'] | null | null | null | hpcaitech/colossalai | ColossalAI | 36,093 | 4,117 | 373 | Python | https://www.colossalai.org | Making large AI models cheaper, faster and more accessible | hpcaitech | 2024-01-14 | 2021-10-28 | 117 | 306.615291 | https://avatars.githubusercontent.com/u/88699314?v=4 | Making large AI models cheaper, faster and more accessible | ['ai', 'big-model', 'data-parallelism', 'deep-learning', 'distributed-computing', 'foundation-models', 'heterogeneous-training', 'hpc', 'inference', 'large-scale', 'model-parallelism', 'pipeline-parallelism'] | ['ai', 'big-model', 'data-parallelism', 'deep-learning', 'distributed-computing', 'foundation-models', 'heterogeneous-training', 'hpc', 'inference', 'large-scale', 'model-parallelism', 'pipeline-parallelism'] | 2024-01-11 | [('bentoml/bentoml', 0.719754159450531, 'ml-ops', 2), ('alpa-projects/alpa', 0.6304028034210205, 'ml-dl', 2), ('pytorchlightning/pytorch-lightning', 0.6259893178939819, 'ml-dl', 2), ('googlecloudplatform/vertex-ai-samples', 0.6214262843132019, 'ml', 1), ('mlc-ai/mlc-llm', 0.6059736013412476, 'llm', 0), ('mosaicml/composer', 0.5992001891136169, 'ml-dl', 1), ('feast-dev/feast', 0.585966944694519, 'ml-ops', 0), ('mlflow/mlflow', 0.5852144360542297, 'ml-ops', 1), ('onnx/onnx', 0.5809974670410156, 'ml', 1), ('tensorflow/tensorflow', 0.5766342282295227, 'ml-dl', 1), ('uber/fiber', 0.5713132619857788, 'data', 1), ('ray-project/ray', 0.5699094533920288, 'ml-ops', 1), ('jina-ai/jina', 0.5669887065887451, 'ml', 1), ('huggingface/datasets', 0.5625196695327759, 'nlp', 1), ('explosion/thinc', 0.5544447898864746, 'ml-dl', 2), ('opentensor/bittensor', 0.552403450012207, 'ml', 2), ('qdrant/qdrant', 0.547572910785675, 'data', 0), ('microsoft/onnxruntime', 0.5474748015403748, 'ml', 1), ('netflix/metaflow', 0.5460145473480225, 'ml-ops', 1), ('google-research/google-research', 0.542206883430481, 'ml', 1), ('operand/agency', 0.5398745536804199, 'llm', 1), ('polyaxon/polyaxon', 0.5358098745346069, 'ml-ops', 1), ('paddlepaddle/paddle', 0.5353530645370483, 'ml-dl', 1), ('activeloopai/deeplake', 0.5351329445838928, 'ml-ops', 2), ('microsoft/lmops', 0.5340853929519653, 'llm', 0), ('interpretml/interpret', 0.5297350883483887, 'ml-interpretability', 1), ('mindsdb/mindsdb', 0.5289170742034912, 'data', 1), ('keras-team/keras', 0.5246325135231018, 'ml-dl', 1), ('xplainable/xplainable', 0.5240747928619385, 'ml-interpretability', 0), ('tensorflow/tensor2tensor', 0.5182396173477173, 'ml', 1), ('ludwig-ai/ludwig', 0.5150622129440308, 'ml-ops', 1), ('superduperdb/superduperdb', 0.514103353023529, 'data', 2), ('skypilot-org/skypilot', 0.5133247971534729, 'llm', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5127544403076172, 'study', 2), ('nccr-itmo/fedot', 0.5125412344932556, 'ml-ops', 0), ('oegedijk/explainerdashboard', 0.5112443566322327, 'ml-interpretability', 0), ('avaiga/taipy', 0.5108974575996399, 'data', 0), ('horovod/horovod', 0.5101556181907654, 'ml-ops', 1), ('lutzroeder/netron', 0.5051214098930359, 'ml', 2), ('unity-technologies/ml-agents', 0.5021815896034241, 'ml-rl', 1)] | 161 | 3 | null | 20.25 | 401 | 293 | 27 | 0 | 13 | 15 | 13 | 401 | 437 | 90 | 1.1 | 81 |
119 | ml-ops | https://github.com/apache/airflow | [] | null | [] | ['apache-airflow'] | null | null | null | apache/airflow | airflow | 33,075 | 13,355 | 757 | Python | https://airflow.apache.org/ | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | apache | 2024-01-14 | 2015-04-13 | 459 | 72.036403 | https://avatars.githubusercontent.com/u/47359?v=4 | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | ['airflow', 'apache', 'apache-airflow', 'automation', 'dag', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'elt', 'etl', 'machine-learning', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-engine', 'workflow-orchestration'] | ['airflow', 'apache', 'apache-airflow', 'automation', 'dag', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'elt', 'etl', 'machine-learning', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-engine', 'workflow-orchestration'] | 2024-01-13 | [('dagster-io/dagster', 0.6647198796272278, 'ml-ops', 10), ('flyteorg/flyte', 0.6581413745880127, 'ml-ops', 4), ('mage-ai/mage-ai', 0.6510021090507507, 'ml-ops', 8), ('kestra-io/kestra', 0.6468701362609863, 'ml-ops', 9), ('astronomer/astro-sdk', 0.6314418911933899, 'ml-ops', 5), ('orchest/orchest', 0.57388836145401, 'ml-ops', 6), ('polyaxon/polyaxon', 0.5673277974128723, 'ml-ops', 4), ('prefecthq/server', 0.5666928291320801, 'util', 4), ('astronomer/astronomer', 0.5602481961250305, 'ml-ops', 1), ('getindata/kedro-kubeflow', 0.5596566200256348, 'ml-ops', 1), ('zenml-io/zenml', 0.5523534417152405, 'ml-ops', 4), ('prefecthq/prefect', 0.5517212748527527, 'ml-ops', 6), ('pydoit/doit', 0.5482216477394104, 'util', 2), ('airbytehq/airbyte', 0.5474141836166382, 'data', 4), ('avaiga/taipy', 0.5394763946533203, 'data', 5), ('apache/superset', 0.5265361070632935, 'viz', 3), ('anyscale/airflow-provider-ray', 0.521160364151001, 'ml-ops', 0), ('backtick-se/cowait', 0.5194593667984009, 'util', 3), ('bodywork-ml/bodywork-core', 0.5161139965057373, 'ml-ops', 4), ('kubeflow/pipelines', 0.5132193565368652, 'ml-ops', 3), ('dagworks-inc/hamilton', 0.5085076093673706, 'ml-ops', 7)] | 3,136 | 6 | null | 92.02 | 2,213 | 1,826 | 107 | 0 | 16 | 500 | 16 | 2,210 | 4,964 | 90 | 2.2 | 81 |
1,434 | llm | https://github.com/hiyouga/llama-efficient-tuning | [] | null | [] | [] | null | null | null | hiyouga/llama-efficient-tuning | LLaMA-Factory | 9,674 | 1,534 | 80 | Python | null | Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM) | hiyouga | 2024-01-14 | 2023-05-28 | 35 | 274.161943 | null | Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM) | ['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers'] | ['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers'] | 2024-01-13 | [('hiyouga/llama-factory', 1.0000001192092896, 'llm', 20), ('bobazooba/xllm', 0.7037465572357178, 'llm', 5), ('young-geng/easylm', 0.6924943923950195, 'llm', 3), ('h2oai/h2o-llmstudio', 0.6901037096977234, 'llm', 5), ('lianjiatech/belle', 0.6741761565208435, 'llm', 2), ('tigerlab-ai/tiger', 0.6649465560913086, 'llm', 3), ('confident-ai/deepeval', 0.6391015648841858, 'testing', 2), ('artidoro/qlora', 0.6366947889328003, 'llm', 1), ('bigscience-workshop/petals', 0.6349529027938843, 'data', 3), ('next-gpt/next-gpt', 0.6337035894393921, 'llm', 3), ('bentoml/openllm', 0.6292673945426941, 'ml-ops', 4), ('intel/intel-extension-for-transformers', 0.608906626701355, 'perf', 0), ('ludwig-ai/ludwig', 0.6046748757362366, 'ml-ops', 4), ('zrrskywalker/llama-adapter', 0.6037131547927856, 'llm', 3), ('cg123/mergekit', 0.5988380312919617, 'llm', 2), ('salesforce/xgen', 0.5888428092002869, 'llm', 3), ('microsoft/autogen', 0.5876283049583435, 'llm', 1), ('lightning-ai/lit-llama', 0.5843559503555298, 'llm', 2), 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1,880 | llm | https://github.com/hiyouga/llama-factory | [] | null | [] | [] | null | null | null | hiyouga/llama-factory | LLaMA-Factory | 9,674 | 1,534 | 80 | Python | null | Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM) | hiyouga | 2024-01-14 | 2023-05-28 | 35 | 274.161943 | null | Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM) | ['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers'] | ['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers'] | 2024-01-13 | [('hiyouga/llama-efficient-tuning', 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404 | study | https://github.com/thealgorithms/python | [] | null | [] | [] | null | null | null | thealgorithms/python | Python | 174,693 | 43,676 | 5,935 | Python | https://the-algorithms.com/ | All Algorithms implemented in Python | thealgorithms | 2024-01-14 | 2016-07-16 | 393 | 444.027233 | https://avatars.githubusercontent.com/u/20487725?v=4 | All Algorithms implemented in Python | ['algorithm', 'algorithm-competitions', 'algorithms-implemented', 'algos', 'community-driven', 'education', 'interview', 'learn', 'practice', 'searches', 'sorting-algorithms', 'sorts'] | ['algorithm', 'algorithm-competitions', 'algorithms-implemented', 'algos', 'community-driven', 'education', 'interview', 'learn', 'practice', 'searches', 'sorting-algorithms', 'sorts'] | 2024-01-13 | [('keon/algorithms', 0.707886815071106, 'util', 1), ('krzjoa/awesome-python-data-science', 0.5975322127342224, 'study', 0), ('atsushisakai/pythonrobotics', 0.58967125415802, 'sim', 1), ('ranaroussi/quantstats', 0.5772646069526672, 'finance', 0), ('sympy/sympy', 0.5507904887199402, 'math', 0), ('scikit-mobility/scikit-mobility', 0.5455461740493774, 'gis', 0), ('joowani/binarytree', 0.5343596935272217, 'util', 2), ('dagworks-inc/hamilton', 0.5340306162834167, 'ml-ops', 0), ('sloria/textblob', 0.531756579875946, 'nlp', 0), ('scipy/scipy', 0.5260889530181885, 'math', 0), ('quantconnect/lean', 0.5260835886001587, 'finance', 1), ('online-ml/river', 0.5223714709281921, 'ml', 0), ('scikit-learn/scikit-learn', 0.5219714641571045, 'ml', 0), ('dylanhogg/awesome-python', 0.5201041102409363, 'study', 0), ('cython/cython', 0.5155187249183655, 'util', 0), ('gradio-app/gradio', 0.513965904712677, 'viz', 0), ('plotly/dash', 0.5107855796813965, 'viz', 0), ('gbeced/pyalgotrade', 0.5092158317565918, 'finance', 0), ('pypy/pypy', 0.5088759660720825, 'util', 0), ('networkx/networkx', 0.5088640451431274, 'graph', 0), ('quantopian/zipline', 0.5000721216201782, 'finance', 0)] | 1,186 | 7 | null | 10.83 | 725 | 600 | 91 | 0 | 0 | 0 | 0 | 717 | 693 | 90 | 1 | 80 |
1,137 | llm | https://github.com/nomic-ai/gpt4all | ['chatbot', 'language-model'] | null | [] | [] | null | null | null | nomic-ai/gpt4all | gpt4all | 59,720 | 6,689 | 597 | C++ | https://gpt4all.io | gpt4all: open-source LLM chatbots that you can run anywhere | nomic-ai | 2024-01-14 | 2023-03-27 | 44 | 1,352.880259 | https://avatars.githubusercontent.com/u/102670180?v=4 | gpt4all: open-source LLM chatbots that you can run anywhere | ['llm-inference'] | ['chatbot', 'language-model', 'llm-inference'] | 2024-01-12 | [('deep-diver/llm-as-chatbot', 0.7740846276283264, 'llm', 1), ('embedchain/embedchain', 0.7717016935348511, 'llm', 0), ('hwchase17/langchain', 0.756317138671875, 'llm', 2), ('microsoft/autogen', 0.716184139251709, 'llm', 2), ('intel/intel-extension-for-transformers', 0.7130550742149353, 'perf', 2), ('thudm/chatglm2-6b', 0.6924757957458496, 'llm', 0), ('deepset-ai/haystack', 0.6876985430717468, 'llm', 1), ('togethercomputer/openchatkit', 0.6839218139648438, 'nlp', 1), 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1,524 | llm | https://github.com/antonosika/gpt-engineer | ['coding-assistant'] | null | [] | [] | null | null | null | antonosika/gpt-engineer | gpt-engineer | 48,414 | 7,869 | 494 | Python | null | Specify what you want it to build, the AI asks for clarification, and then builds it. | antonosika | 2024-01-14 | 2023-04-29 | 39 | 1,227.891304 | https://avatars.githubusercontent.com/u/153750385?v=4 | Specify what you want it to build, the AI asks for clarification, and then builds it. | ['ai', 'autonomous-agent', 'codebase-generation', 'coding-assistant', 'gpt-4', 'openai'] | ['ai', 'autonomous-agent', 'codebase-generation', 'coding-assistant', 'gpt-4', 'openai'] | 2024-01-10 | [('prefecthq/marvin', 0.7385191917419434, 'nlp', 2), ('mindsdb/mindsdb', 0.6977242827415466, 'data', 1), ('transformeroptimus/superagi', 0.677440881729126, 'llm', 3), ('lastmile-ai/aiconfig', 0.6765998005867004, 'util', 1), ('torantulino/auto-gpt', 0.6554578542709351, 'llm', 3), ('smol-ai/developer', 0.6368786096572876, 'llm', 3), ('microsoft/generative-ai-for-beginners', 0.6323514580726624, 'study', 2), ('sweepai/sweep', 0.6145350933074951, 'llm', 1), ('pytorchlightning/pytorch-lightning', 0.6123632192611694, 'ml-dl', 1), ('bentoml/bentoml', 0.6053545475006104, 'ml-ops', 1), ('microsoft/promptflow', 0.5964549779891968, 'llm', 1), ('google-research/language', 0.5954734683036804, 'nlp', 0), ('pythagora-io/gpt-pilot', 0.590089738368988, 'llm', 3), ('mlc-ai/mlc-llm', 0.5844728946685791, 'llm', 0), ('microsoft/lmops', 0.5837531089782715, 'llm', 0), ('cheshire-cat-ai/core', 0.5780220031738281, 'llm', 1), ('operand/agency', 0.5778323411941528, 'llm', 2), ('yoheinakajima/babyagi', 0.5550106763839722, 'llm', 0), ('krohling/bondai', 0.5529053211212158, 'llm', 0), ('oegedijk/explainerdashboard', 0.545367956161499, 'ml-interpretability', 0), ('googlecloudplatform/vertex-ai-samples', 0.5366024374961853, 'ml', 1), ('unity-technologies/ml-agents', 0.5287721157073975, 'ml-rl', 0), ('alirezadir/machine-learning-interview-enlightener', 0.527275800704956, 'study', 1), ('jina-ai/jina', 0.5212904214859009, 'ml', 0), ('oliveirabruno01/babyagi-asi', 0.518890917301178, 'llm', 1), ('netflix/metaflow', 0.5169954299926758, 'ml-ops', 1), ('oneil512/insight', 0.5132570862770081, 'ml', 1), ('avaiga/taipy', 0.5112882852554321, 'data', 0), ('activeloopai/deeplake', 0.5061295628547668, 'ml-ops', 1), ('assafelovic/gpt-researcher', 0.5011528730392456, 'llm', 1)] | 91 | 2 | null | 17.35 | 201 | 180 | 9 | 0 | 16 | 22 | 16 | 200 | 379 | 90 | 1.9 | 80 |
712 | pandas | https://github.com/pola-rs/polars | ['arrow', 'rust', 'dataframe', 'olap'] | null | [] | [] | 1 | null | null | pola-rs/polars | polars | 23,493 | 1,364 | 143 | Rust | https://docs.pola.rs | Dataframes powered by a multithreaded, vectorized query engine, written in Rust | pola-rs | 2024-01-14 | 2020-05-13 | 193 | 121.187178 | https://avatars.githubusercontent.com/u/83768144?v=4 | Dataframes powered by a multithreaded, vectorized query engine, written in Rust | ['arrow', 'dataframe', 'dataframe-library', 'dataframes', 'out-of-core', 'polars', 'rust'] | ['arrow', 'dataframe', 'dataframe-library', 'dataframes', 'olap', 'out-of-core', 'polars', 'rust'] | 2024-01-12 | [('eventual-inc/daft', 0.7005141377449036, 'pandas', 2), ('sfu-db/connector-x', 0.6430513262748718, 'data', 2), ('delta-io/delta-rs', 0.596839427947998, 'pandas', 1), ('vaexio/vaex', 0.5824528336524963, 'perf', 1), ('astral-sh/ruff', 0.5693628787994385, 'util', 1), ('apache/arrow', 0.5664820075035095, 'data', 1), ('ibis-project/ibis', 0.5494480729103088, 'data', 1), ('tobymao/sqlglot', 0.5481932163238525, 'data', 0), ('aswinnnn/pyscan', 0.5435234308242798, 'security', 1), ('rapidsai/cudf', 0.5434831380844116, 'pandas', 2), ('pandas-dev/pandas', 0.5433159470558167, 'pandas', 2), ('ydataai/ydata-profiling', 0.5423642992973328, 'pandas', 0), ('fugue-project/fugue', 0.5422793030738831, 'pandas', 0), ('adamerose/pandasgui', 0.5391742587089539, 'pandas', 1), ('apache/spark', 0.5380522608757019, 'data', 0), ('jmcarpenter2/swifter', 0.5324315428733826, 'pandas', 0), ('rustpython/rustpython', 0.5321800112724304, 'util', 1), ('polyaxon/datatile', 0.5283935070037842, 'pandas', 1), ('qdrant/vector-db-benchmark', 0.5243891477584839, 'perf', 0), ('man-group/dtale', 0.5197016596794128, 'viz', 0), ('qdrant/fastembed', 0.5184158682823181, 'ml', 0), ('fastai/fastcore', 0.5103496313095093, 'util', 0), ('aws/aws-sdk-pandas', 0.50155109167099, 'pandas', 0)] | 343 | 4 | null | 65.37 | 2,668 | 1,799 | 45 | 0 | 92 | 117 | 92 | 2,663 | 4,358 | 90 | 1.6 | 80 |
773 | diffusion | https://github.com/huggingface/diffusers | [] | null | [] | [] | null | null | null | huggingface/diffusers | diffusers | 20,337 | 4,219 | 175 | Python | https://huggingface.co/docs/diffusers | 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch | huggingface | 2024-01-14 | 2022-05-30 | 87 | 233.37541 | https://avatars.githubusercontent.com/u/25720743?v=4 | 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch | ['deep-learning', 'diffusion', 'image-generation', 'image2image', 'pytorch', 'score-based-generative-modeling', 'stable-diffusion', 'stable-diffusion-diffusers', 'text2image'] | ['deep-learning', 'diffusion', 'image-generation', 'image2image', 'pytorch', 'score-based-generative-modeling', 'stable-diffusion', 'stable-diffusion-diffusers', 'text2image'] | 2024-01-12 | [('albarji/mixture-of-diffusers', 0.6519318222999573, 'diffusion', 1), ('sharonzhou/long_stable_diffusion', 0.6350945830345154, 'diffusion', 0), ('compvis/latent-diffusion', 0.6299404501914978, 'diffusion', 2), ('stability-ai/stablediffusion', 0.6299402713775635, 'diffusion', 2), ('compvis/stable-diffusion', 0.629136860370636, 'diffusion', 2), ('tanelp/tiny-diffusion', 0.5994593501091003, 'diffusion', 0), ('carson-katri/dream-textures', 0.5772011280059814, 'diffusion', 2), ('openai/glide-text2im', 0.565796971321106, 'diffusion', 0), ('nateraw/stable-diffusion-videos', 0.5594053268432617, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.552635669708252, 'diffusion', 7), ('pollinations/dance-diffusion', 0.5509036779403687, 'diffusion', 0), ('xavierxiao/dreambooth-stable-diffusion', 0.5447068810462952, 'diffusion', 2), ('lucidrains/musiclm-pytorch', 0.54345703125, 'ml', 1), ('saharmor/dalle-playground', 0.539817750453949, 'diffusion', 1), ('lucidrains/dalle2-pytorch', 0.532724142074585, 'diffusion', 1), ('lucidrains/imagen-pytorch', 0.5299099087715149, 'ml-dl', 1), ('pytorch/ignite', 0.528372049331665, 'ml-dl', 2), ('timothybrooks/instruct-pix2pix', 0.5238240957260132, 'diffusion', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5232102274894714, 'diffusion', 0), ('laion-ai/dalle2-laion', 0.5089276432991028, 'diffusion', 1), ('jina-ai/discoart', 0.5044229030609131, 'diffusion', 2), ('stability-ai/stability-sdk', 0.5022362470626831, 'diffusion', 1)] | 564 | 1 | null | 5.79 | 1,641 | 1,326 | 20 | 0 | 34 | 40 | 34 | 1,640 | 5,457 | 90 | 3.3 | 80 |
1,240 | llm | https://github.com/microsoft/semantic-kernel | [] | null | [] | [] | null | null | null | microsoft/semantic-kernel | semantic-kernel | 16,027 | 2,345 | 221 | C# | https://aka.ms/semantic-kernel | Integrate cutting-edge LLM technology quickly and easily into your apps | microsoft | 2024-01-14 | 2023-02-27 | 48 | 332.905045 | https://avatars.githubusercontent.com/u/6154722?v=4 | Integrate cutting-edge LLM technology quickly and easily into your apps | ['ai', 'artificial-intelligence', 'llm', 'openai', 'sdk'] | ['ai', 'artificial-intelligence', 'llm', 'openai', 'sdk'] | 2024-01-12 | [('microsoft/promptflow', 0.7958884835243225, 'llm', 2), ('pathwaycom/llm-app', 0.7631767988204956, 'llm', 1), ('mlc-ai/mlc-llm', 0.6558853983879089, 'llm', 1), ('tigerlab-ai/tiger', 0.6522761583328247, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6336042284965515, 'perf', 0), ('nebuly-ai/nebullvm', 0.6294217705726624, 'perf', 3), ('alphasecio/langchain-examples', 0.6260648965835571, 'llm', 2), ('mnotgod96/appagent', 0.6219491362571716, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.6138186454772949, 'llm', 0), ('shishirpatil/gorilla', 0.612429678440094, 'llm', 1), ('h2oai/h2o-llmstudio', 0.6094576716423035, 'llm', 2), ('bigscience-workshop/petals', 0.6056543588638306, 'data', 0), ('lancedb/lancedb', 0.6036065220832825, 'data', 0), ('microsoft/lmops', 0.6015781760215759, 'llm', 1), ('deepset-ai/haystack', 0.5954805016517639, 'llm', 1), ('ludwig-ai/ludwig', 0.5949147939682007, 'ml-ops', 1), ('iryna-kondr/scikit-llm', 0.5926992893218994, 'llm', 1), ('berriai/litellm', 0.5909188985824585, 'llm', 2), ('prefecthq/marvin', 0.583898663520813, 'nlp', 3), ('chainlit/chainlit', 0.5796830654144287, 'llm', 2), ('microsoft/torchscale', 0.573233425617218, 'llm', 0), ('microsoft/jarvis', 0.572293758392334, 'llm', 0), ('lastmile-ai/aiconfig', 0.5658584237098694, 'util', 2), ('vllm-project/vllm', 0.564845621585846, 'llm', 1), ('bentoml/bentoml', 0.5644956827163696, 'ml-ops', 1), ('bentoml/openllm', 0.5633988380432129, 'ml-ops', 2), ('embedchain/embedchain', 0.555986225605011, 'llm', 2), ('hwchase17/langchain', 0.5559676289558411, 'llm', 0), ('operand/agency', 0.5540736317634583, 'llm', 3), ('nomic-ai/gpt4all', 0.5500825047492981, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.5478009581565857, 'llm', 0), ('sweepai/sweep', 0.5460195541381836, 'llm', 2), ('cheshire-cat-ai/core', 0.5438644886016846, 'llm', 2), ('pytorchlightning/pytorch-lightning', 0.5393573641777039, 'ml-dl', 2), ('eugeneyan/open-llms', 0.5385962128639221, 'study', 1), ('citadel-ai/langcheck', 0.5307271480560303, 'llm', 0), ('microsoft/promptcraft-robotics', 0.5297889113426208, 'sim', 1), ('mmabrouk/chatgpt-wrapper', 0.526870608329773, 'llm', 2), ('skypilot-org/skypilot', 0.5244306325912476, 'llm', 0), ('young-geng/easylm', 0.5219286680221558, 'llm', 0), ('activeloopai/deeplake', 0.5194681882858276, 'ml-ops', 2), ('argilla-io/argilla', 0.5170361399650574, 'nlp', 2), ('opengenerativeai/genossgpt', 0.5167599320411682, 'llm', 2), ('hegelai/prompttools', 0.5153470039367676, 'llm', 0), ('smol-ai/developer', 0.5124703049659729, 'llm', 1), ('streamlit/streamlit', 0.5103716254234314, 'viz', 0), ('ajndkr/lanarky', 0.5084496140480042, 'llm', 0), ('jina-ai/jina', 0.5081870555877686, 'ml', 0), ('pythagora-io/gpt-pilot', 0.5081477165222168, 'llm', 1), ('lightning-ai/lit-gpt', 0.5075657367706299, 'llm', 0), ('bobazooba/xllm', 0.5029643774032593, 'llm', 2), ('jerryjliu/llama_index', 0.5002325773239136, 'llm', 1)] | 185 | 1 | null | 38.23 | 1,813 | 1,379 | 11 | 0 | 63 | 284 | 63 | 1,811 | 1,719 | 90 | 0.9 | 80 |
1,384 | llm | https://github.com/mlc-ai/mlc-llm | [] | null | [] | [] | null | null | null | mlc-ai/mlc-llm | mlc-llm | 15,117 | 1,130 | 155 | Python | https://llm.mlc.ai/docs | Enable everyone to develop, optimize and deploy AI models natively on everyone's devices. | mlc-ai | 2024-01-14 | 2023-04-29 | 39 | 383.402174 | https://avatars.githubusercontent.com/u/106173866?v=4 | Enable everyone to develop, optimize and deploy AI models natively on everyone's devices. | ['language-model', 'llm', 'machine-learning-compilation', 'tvm'] | ['language-model', 'llm', 'machine-learning-compilation', 'tvm'] | 2024-01-13 | [('microsoft/lmops', 0.7063540816307068, 'llm', 2), ('microsoft/semantic-kernel', 0.6558853983879089, 'llm', 1), ('bentoml/bentoml', 0.6454080939292908, 'ml-ops', 0), ('pytorchlightning/pytorch-lightning', 0.6401709914207458, 'ml-dl', 0), ('microsoft/promptflow', 0.621173620223999, 'llm', 1), ('nebuly-ai/nebullvm', 0.6126720309257507, 'perf', 1), ('cheshire-cat-ai/core', 0.6107067465782166, 'llm', 1), ('prefecthq/marvin', 0.6106210350990295, 'nlp', 1), ('pathwaycom/llm-app', 0.6101855039596558, 'llm', 1), ('operand/agency', 0.6070036888122559, 'llm', 1), ('hpcaitech/colossalai', 0.6059736013412476, 'llm', 0), ('ludwig-ai/ludwig', 0.5952907800674438, 'ml-ops', 1), ('lastmile-ai/aiconfig', 0.588663637638092, 'util', 1), ('tigerlab-ai/tiger', 0.5859246850013733, 'llm', 1), ('antonosika/gpt-engineer', 0.5844728946685791, 'llm', 0), ('bigscience-workshop/petals', 0.583511233329773, 'data', 0), ('jina-ai/jina', 0.581267774105072, 'ml', 0), ('mlflow/mlflow', 0.5713922381401062, 'ml-ops', 0), ('ray-project/ray', 0.568311333656311, 'ml-ops', 0), ('googlecloudplatform/vertex-ai-samples', 0.5680209994316101, 'ml', 0), ('tensorflow/tensorflow', 0.5597818493843079, 'ml-dl', 0), ('sweepai/sweep', 0.5575688481330872, 'llm', 1), ('alpa-projects/alpa', 0.5512301921844482, 'ml-dl', 1), ('transformeroptimus/superagi', 0.5498563051223755, 'llm', 1), ('mindsdb/mindsdb', 0.5494204163551331, 'data', 1), ('microsoft/autogen', 0.5481517314910889, 'llm', 0), ('microsoft/onnxruntime', 0.5396208763122559, 'ml', 0), ('llmware-ai/llmware', 0.5390260815620422, 'llm', 0), ('embedchain/embedchain', 0.5380026698112488, 'llm', 1), ('titanml/takeoff', 0.5372212529182434, 'llm', 2), ('nvidia/deeplearningexamples', 0.5367917418479919, 'ml-dl', 0), ('avaiga/taipy', 0.5353958010673523, 'data', 0), ('huggingface/datasets', 0.532573401927948, 'nlp', 0), ('microsoft/torchscale', 0.532260000705719, 'llm', 0), ('onnx/onnx', 0.5302952527999878, 'ml', 0), ('intel/intel-extension-for-transformers', 0.5288311243057251, 'perf', 0), ('guardrails-ai/guardrails', 0.527996301651001, 'llm', 1), ('nomic-ai/gpt4all', 0.5278238654136658, 'llm', 1), ('microsoft/nni', 0.5266501307487488, 'ml', 0), ('activeloopai/deeplake', 0.5259242653846741, 'ml-ops', 1), ('lucidrains/toolformer-pytorch', 0.5253450274467468, 'llm', 1), ('smol-ai/developer', 0.5239886045455933, 'llm', 0), ('uber/fiber', 0.522170901298523, 'data', 0), ('microsoft/generative-ai-for-beginners', 0.5216159820556641, 'study', 1), ('google-research/language', 0.5201672911643982, 'nlp', 0), ('rafiqhasan/auto-tensorflow', 0.5193679928779602, 'ml-dl', 0), ('nccr-itmo/fedot', 0.5192214250564575, 'ml-ops', 0), ('determined-ai/determined', 0.5185369253158569, 'ml-ops', 0), ('ml-tooling/opyrator', 0.5173749327659607, 'viz', 0), ('hwchase17/langchain', 0.5162545442581177, 'llm', 1), ('arize-ai/phoenix', 0.5153992772102356, 'ml-interpretability', 0), ('oegedijk/explainerdashboard', 0.5132462978363037, 'ml-interpretability', 0), ('argilla-io/argilla', 0.51301109790802, 'nlp', 1), ('jina-ai/thinkgpt', 0.5101083517074585, 'llm', 1), ('aimhubio/aim', 0.509802520275116, 'ml-ops', 0), ('deepset-ai/haystack', 0.508885383605957, 'llm', 1), ('microsoft/jarvis', 0.5086725354194641, 'llm', 0), ('mnotgod96/appagent', 0.5084356665611267, 'llm', 1), ('luodian/otter', 0.5079561471939087, 'llm', 0), ('kubeflow/fairing', 0.5076168179512024, 'ml-ops', 0), ('unity-technologies/ml-agents', 0.5073363184928894, 'ml-rl', 0), ('rasahq/rasa', 0.50617915391922, 'llm', 0), ('aiwaves-cn/agents', 0.5054627060890198, 'nlp', 2), ('mosaicml/composer', 0.5053991675376892, 'ml-dl', 0), ('nat/openplayground', 0.5039643049240112, 'llm', 1), ('modularml/mojo', 0.5038229823112488, 'util', 0), ('lm-sys/fastchat', 0.5015469193458557, 'llm', 1), ('superduperdb/superduperdb', 0.5006630420684814, 'data', 0)] | 86 | 5 | null | 15.5 | 665 | 532 | 9 | 0 | 1 | 1 | 1 | 666 | 1,245 | 90 | 1.9 | 80 |
1,329 | llm | https://github.com/logspace-ai/langflow | ['ui', 'langchain'] | null | [] | [] | 1 | null | null | logspace-ai/langflow | langflow | 14,139 | 2,132 | 123 | Python | http://www.langflow.org | ⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows. | logspace-ai | 2024-01-14 | 2023-02-08 | 50 | 278.014045 | https://avatars.githubusercontent.com/u/85702467?v=4 | ⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows. | ['chatgpt', 'langchain', 'large-language-models', 'react-flow'] | ['chatgpt', 'langchain', 'large-language-models', 'react-flow', 'ui'] | 2024-01-11 | [('langchain-ai/langgraph', 0.6137604713439941, 'llm', 1), ('gkamradt/langchain-tutorials', 0.5531355142593384, 'study', 0), ('prefecthq/langchain-prefect', 0.548227071762085, 'llm', 2), ('hwchase17/langchain', 0.5081093907356262, 'llm', 1)] | 84 | 2 | null | 117.65 | 351 | 234 | 11 | 0 | 131 | 147 | 131 | 354 | 500 | 90 | 1.4 | 80 |
1,613 | llm | https://github.com/berriai/litellm | [] | null | [] | [] | null | null | null | berriai/litellm | litellm | 4,435 | 435 | 38 | Python | https://litellm-api.up.railway.app/ | Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs) | berriai | 2024-01-14 | 2023-07-27 | 26 | 166.016043 | https://avatars.githubusercontent.com/u/121462774?v=4 | Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs) | ['anthropic', 'langchain', 'langchain-python', 'llm', 'llmops', 'openai'] | ['anthropic', 'langchain', 'langchain-python', 'llm', 'llmops', 'openai'] | 2024-01-14 | [('opengenerativeai/genossgpt', 0.7308034896850586, 'llm', 2), ('shishirpatil/gorilla', 0.7173708081245422, 'llm', 1), ('chainlit/chainlit', 0.6367120742797852, 'llm', 3), ('eugeneyan/open-llms', 0.5926091074943542, 'study', 1), ('microsoft/semantic-kernel', 0.5909188985824585, 'llm', 2), ('ajndkr/lanarky', 0.587331235408783, 'llm', 1), ('nomic-ai/gpt4all', 0.5837444067001343, 'llm', 0), ('pathwaycom/llm-app', 0.5751776695251465, 'llm', 2), ('hwchase17/langchain', 0.573574423789978, 'llm', 1), ('deep-diver/llm-as-chatbot', 0.5576227903366089, 'llm', 0), ('run-llama/llama-hub', 0.5469061136245728, 'data', 1), ('alphasecio/langchain-examples', 0.5404641032218933, 'llm', 3), ('zilliztech/gptcache', 0.539711594581604, 'llm', 3), ('mmabrouk/chatgpt-wrapper', 0.5316495299339294, 'llm', 2), ('citadel-ai/langcheck', 0.5299030542373657, 'llm', 0), ('openai/openai-python', 0.5291408896446228, 'util', 1), ('alpha-vllm/llama2-accessory', 0.5151165127754211, 'llm', 0), ('bentoml/openllm', 0.5140005350112915, 'ml-ops', 2), ('young-geng/easylm', 0.5113945603370667, 'llm', 0), ('ray-project/llm-applications', 0.5112382173538208, 'llm', 1), ('microsoft/promptflow', 0.5052803754806519, 'llm', 1), ('tigerlab-ai/tiger', 0.5017346143722534, 'llm', 1), ('deep-diver/pingpong', 0.5002941489219666, 'llm', 0)] | 100 | 5 | null | 104.19 | 933 | 772 | 6 | 0 | 31 | 81 | 31 | 933 | 3,000 | 90 | 3.2 | 80 |
1,122 | util | https://github.com/localstack/localstack | [] | null | [] | [] | null | null | null | localstack/localstack | localstack | 50,845 | 3,851 | 524 | Python | https://localstack.cloud | 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline | localstack | 2024-01-14 | 2016-10-25 | 379 | 134.155673 | https://avatars.githubusercontent.com/u/28732122?v=4 | 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline | ['aws', 'cloud', 'continuous-integration', 'developer-tools', 'localstack', 'testing'] | ['aws', 'cloud', 'continuous-integration', 'developer-tools', 'localstack', 'testing'] | 2024-01-12 | [('nficano/python-lambda', 0.5929733514785767, 'util', 1), ('aws/chalice', 0.5926650762557983, 'web', 2), ('zenml-io/mlstacks', 0.5585765838623047, 'ml-ops', 0), ('boto/boto3', 0.5544808506965637, 'util', 2), ('skypilot-org/skypilot', 0.5336942672729492, 'llm', 0), ('lithops-cloud/lithops', 0.514224648475647, 'ml-ops', 0), ('rpgreen/apilogs', 0.5111103653907776, 'util', 1), ('orchest/orchest', 0.5089136362075806, 'ml-ops', 1), ('developmentseed/titiler', 0.5016547441482544, 'gis', 0)] | 526 | 2 | null | 27.35 | 1,070 | 832 | 88 | 0 | 12 | 10 | 12 | 1,070 | 2,218 | 90 | 2.1 | 79 |
985 | llm | https://github.com/facebookresearch/llama | ['llama', 'language-model'] | null | [] | [] | null | null | null | facebookresearch/llama | llama | 48,284 | 8,277 | 471 | Python | null | Inference code for LLaMA models | facebookresearch | 2024-01-14 | 2023-02-14 | 50 | 965.68 | https://avatars.githubusercontent.com/u/16943930?v=4 | Inference code for LLaMA models | [] | ['language-model', 'llama'] | 2023-11-14 | [('facebookresearch/codellama', 0.8860641121864319, 'llm', 2), ('karpathy/llama2.c', 0.8788975477218628, 'llm', 2), ('facebookresearch/llama-recipes', 0.7843647003173828, 'llm', 2), ('microsoft/llama-2-onnx', 0.7213297486305237, 'llm', 2), ('tairov/llama2.mojo', 0.7085148692131042, 'llm', 1), ('abetlen/llama-cpp-python', 0.700358510017395, 'llm', 2), ('tloen/alpaca-lora', 0.6226324439048767, 'llm', 2), ('jzhang38/tinyllama', 0.6092095375061035, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.6008679866790771, 'llm', 0), ('openlm-research/open_llama', 0.5816770195960999, 'llm', 2), ('lightning-ai/lit-llama', 0.5731508731842041, 'llm', 2), ('zrrskywalker/llama-adapter', 0.5667337775230408, 'llm', 2), ('run-llama/llama-lab', 0.562117874622345, 'llm', 2), ('cg123/mergekit', 0.5536092519760132, 'llm', 1), ('ggerganov/llama.cpp', 0.5505987405776978, 'llm', 2), ('juncongmoo/pyllama', 0.5485102534294128, 'llm', 0), ('hao-ai-lab/lookaheaddecoding', 0.5299458503723145, 'llm', 0), ('openai/gpt-2', 0.5193938612937927, 'llm', 0), ('sjtu-ipads/powerinfer', 0.5126661062240601, 'llm', 1)] | 41 | 3 | null | 1.54 | 252 | 148 | 11 | 2 | 0 | 1 | 1 | 251 | 462 | 90 | 1.8 | 79 |
1,414 | data | https://github.com/apache/spark | [] | null | [] | [] | null | null | null | apache/spark | spark | 37,581 | 28,124 | 2,033 | Scala | https://spark.apache.org/ | Apache Spark - A unified analytics engine for large-scale data processing | apache | 2024-01-14 | 2014-02-25 | 518 | 72.550193 | https://avatars.githubusercontent.com/u/47359?v=4 | Apache Spark - A unified analytics engine for large-scale data processing | ['big-data', 'java', 'jdbc', 'r', 'scala', 'spark', 'sql'] | ['big-data', 'java', 'jdbc', 'r', 'scala', 'spark', 'sql'] | 2024-01-13 | [('fugue-project/fugue', 0.6404576897621155, 'pandas', 2), ('airbytehq/airbyte', 0.6244115829467773, 'data', 1), ('apache/incubator-sedona', 0.5984252095222473, 'gis', 2), ('lithops-cloud/lithops', 0.5891563296318054, 'ml-ops', 1), ('vaexio/vaex', 0.5628867149353027, 'perf', 0), ('mage-ai/mage-ai', 0.5627126693725586, 'ml-ops', 2), ('ydataai/ydata-profiling', 0.546349048614502, 'pandas', 0), ('hi-primus/optimus', 0.5423697233200073, 'ml-ops', 1), ('pola-rs/polars', 0.5380522608757019, 'pandas', 0), ('spotify/luigi', 0.537491500377655, 'ml-ops', 0), ('kestra-io/kestra', 0.5336428284645081, 'ml-ops', 0), ('eventual-inc/daft', 0.5322152972221375, 'pandas', 0), ('ibis-project/ibis', 0.5312047004699707, 'data', 1), ('polyaxon/datatile', 0.529706597328186, 'pandas', 1), ('dmlc/xgboost', 0.5240032076835632, 'ml', 0), ('aws/aws-sdk-pandas', 0.5226028561592102, 'pandas', 0), ('flyteorg/flyte', 0.5193337202072144, 'ml-ops', 0), ('airbnb/omniduct', 0.5120821595191956, 'data', 0), ('tobymao/sqlglot', 0.5114732980728149, 'data', 2), ('apache/arrow', 0.5110272765159607, 'data', 0), ('streamlit/streamlit', 0.505164384841919, 'viz', 0), ('apache/superset', 0.5012211203575134, 'viz', 0), ('saulpw/visidata', 0.5010607838630676, 'term', 0)] | 2,996 | 4 | null | 77.21 | 2,781 | 2,595 | 120 | 0 | 0 | 22 | 22 | 2,781 | 4,294 | 90 | 1.5 | 79 |
1,494 | llm | https://github.com/geekan/metagpt | [] | null | [] | [] | 1 | null | null | geekan/metagpt | MetaGPT | 33,271 | 3,942 | 803 | Python | https://deepwisdom.ai/ | 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo | geekan | 2024-01-14 | 2023-06-30 | 30 | 1,088.303738 | null | 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo | ['agent', 'gpt', 'llm', 'metagpt', 'multi-agent'] | ['agent', 'gpt', 'llm', 'metagpt', 'multi-agent'] | 2024-01-11 | [('assafelovic/gpt-researcher', 0.6312734484672546, 'llm', 0), ('linksoul-ai/autoagents', 0.6280576586723328, 'llm', 0), ('operand/agency', 0.6091906428337097, 'llm', 2), ('mnotgod96/appagent', 0.5650525093078613, 'llm', 2), ('transformeroptimus/superagi', 0.5468068718910217, 'llm', 1), ('microsoft/autogen', 0.5422032475471497, 'llm', 1), ('yoheinakajima/babyagi', 0.5191521644592285, 'llm', 0), ('zacwellmer/worldmodels', 0.5185655355453491, 'ml-rl', 0), ('langchain-ai/langgraph', 0.5153509974479675, 'llm', 0), ('jina-ai/thinkgpt', 0.5057692527770996, 'llm', 0)] | 68 | 2 | null | 32.58 | 391 | 320 | 7 | 0 | 11 | 21 | 11 | 391 | 401 | 90 | 1 | 79 |
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Hand-picked awesome Python libraries, with an emphasis on data and machine learning 🐍
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