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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
90 | ml-dl | https://github.com/tensorflow/tensorflow | [] | null | ['1605.08695'] | [] | null | null | null | tensorflow/tensorflow | tensorflow | 179,925 | 89,314 | 7,655 | C++ | https://tensorflow.org | An Open Source Machine Learning Framework for Everyone | tensorflow | 2024-01-14 | 2015-11-07 | 429 | 418.987026 | https://avatars.githubusercontent.com/u/15658638?v=4 | An Open Source Machine Learning Framework for Everyone | ['deep-learning', 'deep-neural-networks', 'distributed', 'machine-learning', 'ml', 'neural-network', 'tensorflow'] | ['deep-learning', 'deep-neural-networks', 'distributed', 'machine-learning', 'ml', 'neural-network', 'tensorflow'] | 2024-01-14 | [('mlflow/mlflow', 0.7961823344230652, 'ml-ops', 2), ('determined-ai/determined', 0.7361361384391785, 'ml-ops', 3), ('keras-team/keras', 0.7145187258720398, 'ml-dl', 3), ('horovod/horovod', 0.7118455767631531, 'ml-ops', 3), ('onnx/onnx', 0.7098345756530762, 'ml', 6), ('microsoft/onnxruntime', 0.681681215763092, 'ml', 3... | 4,527 | 3 | null | 311.62 | 1,315 | 795 | 100 | 0 | 17 | 25 | 17 | 1,315 | 4,314 | 90 | 3.3 | 96 |
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', 'pytorch', 'pytorch-transformers', 'seq2seq', 'speech-recognition', 'tensorflow', 'transformer'] | 2024-01-13 | [('thilinarajapakse/simpletransformers', 0.713013768196106, 'nlp', 0), ('explosion/thinc', 0.7069814801216125, 'ml-dl', 7), ('huggingface/optimum', 0.682058572769165, 'ml', 1), ('nvidia/deeplearningexamples', 0.6816701889038086, 'ml-dl', 5), ('keras-team/keras', 0.6673086285591125, 'ml-dl', 5), ('extreme-bert/extreme-b... | 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, ... | 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', 0.66... | 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... | 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',... | 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... | 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'... | 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', ... | 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', 0.575... | 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... | 1,269 | 4 | null | 46.6 | 610 | 512 | 107 | 0 | 11 | 10 | 11 | 609 | 1,177 | 90 | 1.9 | 85 |
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', 0.662680... | 3,042 | 8 | null | 38.21 | 842 | 522 | 163 | 0 | 5 | 10 | 5 | 842 | 2,257 | 90 | 2.7 | 85 |
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',... | 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... | 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... | ['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/stab... | 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-... | 177 | 3 | null | 11.12 | 1,026 | 618 | 5 | 0 | 29 | 73 | 29 | 1,024 | 3,603 | 90 | 3.5 | 84 |
398 | util | https://github.com/python/cpython | ['cpython'] | null | [] | [] | null | null | null | python/cpython | cpython | 57,793 | 28,633 | 1,503 | Python | https://www.python.org/ | The Python programming language | python | 2024-01-14 | 2017-02-10 | 363 | 158.959136 | https://avatars.githubusercontent.com/u/1525981?v=4 | The Python programming language | [] | ['cpython'] | 2024-01-13 | [('pypy/pypy', 0.7743640542030334, 'util', 1), ('pyston/pyston', 0.7426720261573792, 'util', 0), ('brandtbucher/specialist', 0.7123744487762451, 'perf', 1), ('faster-cpython/tools', 0.7096896171569824, 'perf', 1), ('faster-cpython/ideas', 0.7051501274108887, 'perf', 1), ('cython/cython', 0.6992247700691223, 'util', 1),... | 2,753 | 6 | null | 103.5 | 5,795 | 3,496 | 84 | 0 | 0 | 82 | 82 | 5,794 | 10,741 | 90 | 1.9 | 83 |
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, ... | 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. Release repo for Vicuna and Chatbot Arena. | [] | ['chatbot', 'evaluation', 'language-model'] | 2024-01-10 | [('ai21labs/lm-evaluation', 0.7379257678985596, 'llm', 1), ('fasteval/fasteval', 0.7203408479690552, 'llm', 1), ('microsoft/autogen', 0.7086613774299622, 'llm', 1), ('openbmb/toolbench', 0.7016268968582153, 'llm', 1), ('freedomintelligence/llmzoo', 0.6950333714485168, 'llm', 1), ('openlmlab/moss', 0.6857122778892517, '... | 207 | 5 | null | 13.92 | 562 | 312 | 10 | 0 | 12 | 26 | 12 | 561 | 800 | 90 | 1.4 | 83 |
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, 'study', 2), ('man-group/dtale', 0.6628751754760742, 'viz', 3), ('pytoolz/toolz', 0.6519975066184998, 'util', 0), ('rasbt/mlxtend', 0.6480407118797302, 'ml', 1), ('python-odin/odin', 0.6475261449813843,... | 3,524 | 5 | null | 60.19 | 2,061 | 1,474 | 163 | 0 | 14 | 13 | 14 | 2,060 | 3,606 | 90 | 1.8 | 82 |
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', 0.61408931... | 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', 0.607430... | 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,... | 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-cook... | 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), ('... | 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', 0.54284310340... | 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/compo... | 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, 'm... | 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... | 33 | 7 | null | 13.65 | 1,090 | 1,047 | 8 | 0 | 17 | 26 | 17 | 1,092 | 2,458 | 90 | 2.3 | 81 |
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', 1.0000001192092896, 'llm', 20), ('bobazooba/xllm', 0.7037465572357178, 'llm', 5), ('young-geng/easylm', 0.6924945116043091, 'llm', 3), ('h2oai/h2o-llmstudio', 0.6901035308837891, 'llm', 5), ('lianjiatech/belle', 0.6741760969161987, 'llm', 2), ('tigerlab-ai/tiger', 0.6649466753005981,... | 33 | 7 | null | 13.65 | 1,090 | 1,047 | 8 | 0 | 17 | 26 | 17 | 1,092 | 2,458 | 90 | 2.3 | 81 |
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-m... | 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'... | 86 | 1 | null | 29.29 | 404 | 233 | 10 | 0 | 7 | 17 | 7 | 403 | 920 | 90 | 2.3 | 80 |
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... | 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), ('ibi... | 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', 0.62913686... | 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', 0.629421... | 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', 0.6... | 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', 0.587331235... | 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',... | 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... | 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, ... | 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', 0.54220324... | 68 | 2 | null | 32.58 | 391 | 320 | 7 | 0 | 11 | 21 | 11 | 391 | 401 | 90 | 1 | 79 |
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