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697 | util | https://github.com/openai/openai-python | [] | null | [] | [] | null | null | null | openai/openai-python | openai-python | 17,664 | 2,403 | 249 | Python | https://pypi.org/project/openai/ | The official Python library for the OpenAI API | openai | 2024-01-14 | 2020-10-25 | 170 | 103.731544 | https://avatars.githubusercontent.com/u/14957082?v=4 | The official Python library for the OpenAI API | ['openai'] | ['openai'] | 2024-01-12 | [('openai/openai-cookbook', 0.6652215123176575, 'ml', 1), ('langchain-ai/opengpts', 0.6509252190589905, 'llm', 0), ('shishirpatil/gorilla', 0.6225490570068359, 'llm', 0), ('googleapis/google-api-python-client', 0.5968145728111267, 'util', 0), ('fastai/ghapi', 0.5810590982437134, 'util', 0), ('fastai/fastcore', 0.574874... | 96 | 3 | null | 4.12 | 536 | 498 | 39 | 0 | 44 | 28 | 44 | 536 | 1,076 | 90 | 2 | 72 |
313 | util | https://github.com/pydantic/pydantic | ['serialization', 'parsing', 'typing', 'validation'] | null | [] | [] | 1 | null | null | pydantic/pydantic | pydantic | 17,235 | 1,579 | 104 | Python | https://docs.pydantic.dev | Data validation using Python type hints | pydantic | 2024-01-14 | 2017-05-03 | 351 | 48.982948 | https://avatars.githubusercontent.com/u/110818415?v=4 | Data validation using Python type hints | ['hints', 'json-schema', 'parsing', 'pydantic', 'python310', 'python311', 'python312', 'python37', 'python38', 'python39', 'validation'] | ['hints', 'json-schema', 'parsing', 'pydantic', 'python310', 'python311', 'python312', 'python37', 'python38', 'python39', 'serialization', 'typing', 'validation'] | 2024-01-12 | [('pyeve/cerberus', 0.7001333832740784, 'data', 0), ('python-odin/odin', 0.6526608467102051, 'util', 1), ('facebook/pyre-check', 0.6196001768112183, 'typing', 0), ('marshmallow-code/marshmallow', 0.606956422328949, 'util', 2), ('patrick-kidger/torchtyping', 0.5341143012046814, 'typing', 1), ('andialbrecht/sqlparse', 0.... | 466 | 3 | null | 23.17 | 893 | 695 | 82 | 0 | 33 | 19 | 33 | 893 | 2,136 | 90 | 2.4 | 72 |
493 | pandas | https://github.com/duckdb/duckdb | ['arrow', 'dataframe'] | null | [] | [] | 1 | null | null | duckdb/duckdb | duckdb | 13,828 | 1,273 | 161 | C++ | http://www.duckdb.org | DuckDB is an in-process SQL OLAP Database Management System | duckdb | 2024-01-14 | 2018-06-26 | 292 | 47.356164 | https://avatars.githubusercontent.com/u/82039556?v=4 | DuckDB is an in-process SQL OLAP Database Management System | ['analytics', 'database', 'embedded-database', 'olap', 'sql'] | ['analytics', 'arrow', 'database', 'dataframe', 'embedded-database', 'olap', 'sql'] | 2024-01-12 | [('duckdb/dbt-duckdb', 0.6090986132621765, 'data', 0), ('mause/duckdb_engine', 0.510148286819458, 'data', 1)] | 354 | 2 | null | 265.73 | 1,220 | 950 | 68 | 0 | 7 | 7 | 7 | 1,220 | 2,333 | 90 | 1.9 | 72 |
1,237 | llm | https://github.com/idea-research/grounded-segment-anything | [] | null | [] | [] | null | null | null | idea-research/grounded-segment-anything | Grounded-Segment-Anything | 12,205 | 1,094 | 111 | Jupyter Notebook | null | Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything | idea-research | 2024-01-14 | 2023-04-06 | 42 | 285.735786 | https://avatars.githubusercontent.com/u/113572103?v=4 | Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything | ['3d-whole-body-pose-estimation', 'automatic-labeling-system', 'caption', 'data-generation', 'image-editing', 'open-vocabulary-detection', 'open-vocabulary-segmentation', 'speech'] | ['3d-whole-body-pose-estimation', 'automatic-labeling-system', 'caption', 'data-generation', 'image-editing', 'open-vocabulary-detection', 'open-vocabulary-segmentation', 'speech'] | 2023-12-31 | [('idea-research/groundingdino', 0.6477982997894287, 'diffusion', 0), ('roboflow/notebooks', 0.6104524731636047, 'study', 3), ('open-mmlab/mmediting', 0.5329544544219971, 'ml', 1), ('roboflow/supervision', 0.525745153427124, 'ml', 0)] | 44 | 7 | null | 4.52 | 79 | 31 | 9 | 0 | 0 | 0 | 0 | 79 | 112 | 90 | 1.4 | 72 |
1,596 | llm | https://github.com/paddlepaddle/paddlenlp | [] | null | [] | [] | null | null | null | paddlepaddle/paddlenlp | PaddleNLP | 10,831 | 2,753 | 100 | Python | https://paddlenlp.readthedocs.io | π Easy-to-use and powerful NLP and LLM library with π€ Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including πText Classification, π Neural Search, β Question Answering, βΉοΈ Information Extraction, π Document Intelligence, π Sentiment Analysis etc. | paddlepaddle | 2024-01-14 | 2021-02-05 | 155 | 69.620753 | https://avatars.githubusercontent.com/u/23534030?v=4 | π Easy-to-use and powerful NLP and LLM library with π€ Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including πText Classification, π Neural Search, β Question Answering, βΉοΈ Information Extraction, π Document Intelligence, π Sentiment Analysis etc. | ['bert', 'compression', 'distributed-training', 'document-intelligence', 'embedding', 'ernie', 'information-extraction', 'llama', 'llm', 'neural-search', 'nlp', 'paddlenlp', 'pretrained-models', 'question-answering', 'search-engine', 'semantic-analysis', 'sentiment-analysis', 'transformers', 'uie'] | ['bert', 'compression', 'distributed-training', 'document-intelligence', 'embedding', 'ernie', 'information-extraction', 'llama', 'llm', 'neural-search', 'nlp', 'paddlenlp', 'pretrained-models', 'question-answering', 'search-engine', 'semantic-analysis', 'sentiment-analysis', 'transformers', 'uie'] | 2024-01-12 | [('llmware-ai/llmware', 0.7560280561447144, 'llm', 4), ('neuml/txtai', 0.7093960642814636, 'nlp', 5), ('explosion/spacy-llm', 0.691947877407074, 'llm', 3), ('alibaba/easynlp', 0.6783795952796936, 'nlp', 4), ('deepset-ai/haystack', 0.6606729626655579, 'llm', 4), ('extreme-bert/extreme-bert', 0.6498593091964722, 'llm', 2... | 250 | 4 | null | 28.73 | 858 | 528 | 36 | 0 | 7 | 15 | 7 | 858 | 1,398 | 90 | 1.6 | 72 |
1,521 | nlp | https://github.com/facebookresearch/seamless_communication | ['text-to-speech', 'speech-to-text'] | null | [] | [] | null | null | null | facebookresearch/seamless_communication | seamless_communication | 9,358 | 954 | 140 | Jupyter Notebook | null | Foundational Models for State-of-the-Art Speech and Text Translation | facebookresearch | 2024-01-14 | 2023-08-01 | 26 | 359.923077 | https://avatars.githubusercontent.com/u/16943930?v=4 | Foundational Models for State-of-the-Art Speech and Text Translation | [] | ['speech-to-text', 'text-to-speech'] | 2024-01-11 | [('pndurette/gtts', 0.5938905477523804, 'util', 1), ('openai/whisper', 0.5865522623062134, 'ml-dl', 1), ('suno-ai/bark', 0.553849995136261, 'ml', 0), ('juncongmoo/pyllama', 0.5527052879333496, 'llm', 0), ('nateshmbhat/pyttsx3', 0.5521857142448425, 'util', 1), ('next-gpt/next-gpt', 0.5332794785499573, 'llm', 0), ('infin... | 29 | 6 | null | 1.79 | 159 | 85 | 6 | 0 | 0 | 0 | 0 | 159 | 174 | 90 | 1.1 | 72 |
1,901 | util | https://github.com/mitsuhiko/rye | ['dependency-manager', 'packaging', 'package-manager'] | null | [] | [] | null | null | null | mitsuhiko/rye | rye | 7,781 | 197 | 46 | Rust | https://rye-up.com | An Experimental Package Management Solution for Python | mitsuhiko | 2024-01-17 | 2023-04-22 | 40 | 192.462898 | null | An Experimental Package Management Solution for Python | ['package-manager', 'packaging'] | ['dependency-manager', 'package-manager', 'packaging'] | 2024-01-16 | [('indygreg/pyoxidizer', 0.8726885914802551, 'util', 2), ('python-poetry/poetry', 0.8581348657608032, 'util', 3), ('pypa/flit', 0.825670599937439, 'util', 2), ('pomponchik/instld', 0.748336672782898, 'util', 1), ('pdm-project/pdm', 0.7408201694488525, 'util', 2), ('pypa/hatch', 0.7138620615005493, 'util', 2), ('regebro... | 52 | 3 | null | 8 | 60 | 33 | 9 | 0 | 21 | 30 | 21 | 60 | 104 | 90 | 1.7 | 72 |
1,193 | llm | https://github.com/thudm/chatglm-6b | ['language-model'] | null | [] | [] | null | null | null | thudm/chatglm-6b | ChatGLM-6B | 37,146 | 4,974 | 382 | Python | null | ChatGLM-6B: An Open Bilingual Dialogue Language Model | εΌζΊεθ―ε―Ήθ―θ―θ¨ζ¨‘ε | thudm | 2024-01-14 | 2023-03-13 | 46 | 805.021672 | https://avatars.githubusercontent.com/u/48590610?v=4 | ChatGLM-6B: An Open Bilingual Dialogue Language Model | εΌζΊεθ―ε―Ήθ―θ―θ¨ζ¨‘ε | [] | ['language-model'] | 2023-10-27 | [('thudm/chatglm2-6b', 0.7089318633079529, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.6088327765464783, 'nlp', 0), ('thudm/glm-130b', 0.5821515321731567, 'llm', 0), ('freedomintelligence/llmzoo', 0.5757870674133301, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.5738417506217957, 'llm', 1), ('openlmlab/moss', 0.55... | 49 | 4 | null | 5.29 | 97 | 36 | 10 | 3 | 0 | 0 | 0 | 97 | 112 | 90 | 1.2 | 71 |
1,104 | llm | https://github.com/openai/chatgpt-retrieval-plugin | [] | null | [] | [] | null | null | null | openai/chatgpt-retrieval-plugin | chatgpt-retrieval-plugin | 20,419 | 3,796 | 323 | Python | null | The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language. | openai | 2024-01-13 | 2023-03-23 | 44 | 456.654952 | https://avatars.githubusercontent.com/u/14957082?v=4 | The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language. | ['chatgpt', 'chatgpt-plugins'] | ['chatgpt', 'chatgpt-plugins'] | 2023-12-04 | [('langchain-ai/chat-langchain', 0.5608171820640564, 'llm', 0), ('run-llama/rags', 0.5382370948791504, 'llm', 1), ('rcgai/simplyretrieve', 0.5177233815193176, 'llm', 0), ('killianlucas/open-interpreter', 0.5168745517730713, 'llm', 1), ('h2oai/h2ogpt', 0.5049951076507568, 'llm', 1)] | 39 | 6 | null | 1.73 | 44 | 18 | 10 | 1 | 0 | 0 | 0 | 44 | 33 | 90 | 0.8 | 71 |
327 | security | https://github.com/aquasecurity/trivy | [] | null | [] | [] | null | null | null | aquasecurity/trivy | trivy | 19,961 | 2,005 | 166 | Go | https://aquasecurity.github.io/trivy | Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more | aquasecurity | 2024-01-13 | 2019-04-11 | 250 | 79.616524 | https://avatars.githubusercontent.com/u/12783832?v=4 | Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more | ['containers', 'devsecops', 'docker', 'go', 'golang', 'iac', 'infrastructure-as-code', 'kubernetes', 'misconfiguration', 'security', 'security-tools', 'vulnerability', 'vulnerability-detection', 'vulnerability-scanners'] | ['containers', 'devsecops', 'docker', 'go', 'golang', 'iac', 'infrastructure-as-code', 'kubernetes', 'misconfiguration', 'security', 'security-tools', 'vulnerability', 'vulnerability-detection', 'vulnerability-scanners'] | 2024-01-12 | [('gefyrahq/gefyra', 0.6041578054428101, 'util', 3), ('pytest-dev/pytest-testinfra', 0.538640558719635, 'testing', 3), ('aswinnnn/pyscan', 0.5372655987739563, 'security', 4), ('tiiuae/sbomnix', 0.5336388945579529, 'util', 2), ('chaostoolkit/chaostoolkit', 0.5057849287986755, 'util', 0)] | 355 | 2 | null | 13.77 | 409 | 306 | 58 | 0 | 27 | 28 | 27 | 409 | 603 | 90 | 1.5 | 71 |
372 | ml-dl | https://github.com/pyg-team/pytorch_geometric | [] | null | [] | [] | null | null | null | pyg-team/pytorch_geometric | pytorch_geometric | 19,351 | 3,467 | 252 | Python | https://pyg.org | Graph Neural Network Library for PyTorch | pyg-team | 2024-01-14 | 2017-10-06 | 329 | 58.715648 | https://avatars.githubusercontent.com/u/89995122?v=4 | Graph Neural Network Library for PyTorch | ['deep-learning', 'geometric-deep-learning', 'graph-convolutional-networks', 'graph-neural-networks', 'pytorch'] | ['deep-learning', 'geometric-deep-learning', 'graph-convolutional-networks', 'graph-neural-networks', 'pytorch'] | 2024-01-13 | [('dmlc/dgl', 0.7811087965965271, 'ml-dl', 2), ('danielegrattarola/spektral', 0.7439136505126953, 'ml-dl', 2), ('pytorch/ignite', 0.7287918925285339, 'ml-dl', 2), ('hazyresearch/hgcn', 0.6979220509529114, 'ml', 0), ('mrdbourke/pytorch-deep-learning', 0.6894313097000122, 'study', 2), ('a-r-j/graphein', 0.688624858856201... | 477 | 6 | null | 20.87 | 535 | 427 | 76 | 0 | 3 | 6 | 3 | 535 | 785 | 90 | 1.5 | 71 |
599 | web | https://github.com/pyscript/pyscript | ['pyodide', 'cpython', 'wasm', 'webassembly'] | A framework that allows users to create rich Python applications in the browser using HTML's interface and the power of Pyodide, WASM, and modern web technologies. | [] | [] | null | null | null | pyscript/pyscript | pyscript | 17,260 | 1,434 | 167 | Python | https://pyscript.net/ | Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2 | pyscript | 2024-01-14 | 2022-02-21 | 101 | 170.649718 | https://avatars.githubusercontent.com/u/100553281?v=4 | Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2 | ['html', 'javascript', 'wasm'] | ['cpython', 'html', 'javascript', 'pyodide', 'wasm', 'webassembly'] | 2024-01-13 | [('masoniteframework/masonite', 0.6563617587089539, 'web', 0), ('pyscript/pyscript-cli', 0.606472909450531, 'web', 0), ('pywebio/pywebio', 0.5674092173576355, 'web', 0), ('bokeh/bokeh', 0.5267843008041382, 'viz', 1), ('killianlucas/open-interpreter', 0.5255423784255981, 'llm', 1), ('pyodide/pyodide', 0.5230824947357178... | 116 | 1 | null | 6.25 | 181 | 166 | 23 | 0 | 6 | 5 | 6 | 181 | 340 | 90 | 1.9 | 71 |
888 | diffusion | https://github.com/apple/ml-stable-diffusion | [] | null | [] | [] | null | null | null | apple/ml-stable-diffusion | ml-stable-diffusion | 15,566 | 835 | 134 | Python | null | Stable Diffusion with Core ML on Apple Silicon | apple | 2024-01-14 | 2022-11-16 | 62 | 247.640909 | https://avatars.githubusercontent.com/u/10639145?v=4 | Stable Diffusion with Core ML on Apple Silicon | [] | [] | 2023-11-14 | [('divamgupta/diffusionbee-stable-diffusion-ui', 0.5508177876472473, 'diffusion', 0), ('ml-explore/mlx', 0.5221449136734009, 'ml', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5180650949478149, 'diffusion', 0), ('carson-katri/dream-textures', 0.5164445042610168, 'diffusion', 0)] | 31 | 4 | null | 1.37 | 40 | 17 | 14 | 2 | 5 | 5 | 5 | 40 | 104 | 90 | 2.6 | 71 |
39 | jupyter | https://github.com/jupyterlab/jupyterlab | [] | null | [] | [] | null | null | null | jupyterlab/jupyterlab | jupyterlab | 13,540 | 2,973 | 315 | TypeScript | https://jupyterlab.readthedocs.io/ | JupyterLab computational environment. | jupyterlab | 2024-01-14 | 2016-06-03 | 399 | 33.886307 | https://avatars.githubusercontent.com/u/22800682?v=4 | JupyterLab computational environment. | ['jupyter', 'jupyterlab'] | ['jupyter', 'jupyterlab'] | 2024-01-13 | [('jupyterlab/jupyterlab-desktop', 0.7525447607040405, 'jupyter', 2), ('ipython/ipyparallel', 0.6818181872367859, 'perf', 1), ('jupyter/notebook', 0.669508159160614, 'jupyter', 1), ('ipython/ipykernel', 0.662561297416687, 'util', 1), ('jupyter/nbformat', 0.6569828987121582, 'jupyter', 0), ('jupyterlite/jupyterlite', 0.... | 577 | 8 | null | 22.79 | 1,042 | 801 | 93 | 0 | 35 | 4,883 | 35 | 1,042 | 1,691 | 90 | 1.6 | 71 |
1,560 | ml | https://github.com/ggerganov/ggml | [] | null | [] | [] | null | null | null | ggerganov/ggml | ggml | 8,536 | 822 | 109 | C | null | Tensor library for machine learning | ggerganov | 2024-01-14 | 2022-09-18 | 71 | 119.743487 | null | Tensor library for machine learning | ['automatic-differentiation', 'large-language-models', 'machine-learning', 'tensor-algebra'] | ['automatic-differentiation', 'large-language-models', 'machine-learning', 'tensor-algebra'] | 2024-01-13 | [('tensorly/tensorly', 0.7053402066230774, 'ml-dl', 2), ('arogozhnikov/einops', 0.674818754196167, 'ml-dl', 0), ('xl0/lovely-tensors', 0.6742641925811768, 'ml-dl', 0), ('rafiqhasan/auto-tensorflow', 0.6585282683372498, 'ml-dl', 1), ('pytorch/pytorch', 0.6398614645004272, 'ml-dl', 1), ('nvidia/tensorrt-llm', 0.616122782... | 112 | 7 | null | 9.9 | 129 | 85 | 16 | 0 | 0 | 0 | 0 | 129 | 422 | 90 | 3.3 | 71 |
1,196 | llm | https://github.com/mlc-ai/web-llm | [] | null | [] | [] | null | null | null | mlc-ai/web-llm | web-llm | 8,186 | 493 | 92 | TypeScript | https://mlc.ai/web-llm | Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support. | mlc-ai | 2024-01-13 | 2023-04-13 | 41 | 196.239726 | https://avatars.githubusercontent.com/u/106173866?v=4 | Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support. | ['chatgpt', 'deep-learning', 'language-model', 'llm', 'tvm', 'webgpu', 'webml'] | ['chatgpt', 'deep-learning', 'language-model', 'llm', 'tvm', 'webgpu', 'webml'] | 2024-01-04 | [('mlc-ai/web-stable-diffusion', 0.6759905219078064, 'diffusion', 4), ('microsoft/autogen', 0.661967396736145, 'llm', 1), ('next-gpt/next-gpt', 0.6524577140808105, 'llm', 2), ('nomic-ai/gpt4all', 0.6522467136383057, 'llm', 1), ('hwchase17/langchain', 0.6466255187988281, 'llm', 1), ('young-geng/easylm', 0.64280951023101... | 25 | 8 | null | 2.58 | 75 | 61 | 9 | 0 | 1 | 1 | 1 | 75 | 174 | 90 | 2.3 | 71 |
1,712 | ml-ops | https://github.com/bentoml/openllm | [] | null | [] | [] | null | null | null | bentoml/openllm | OpenLLM | 7,553 | 519 | 49 | Python | https://bentoml.com | Operating LLMs in production | bentoml | 2024-01-14 | 2023-04-19 | 40 | 184.863636 | https://avatars.githubusercontent.com/u/49176046?v=4 | Operating LLMs in production | ['ai', 'bentoml', 'falcon', 'fine-tuning', 'llama', 'llama2', 'llm', 'llm-inference', 'llm-ops', 'llm-serving', 'llmops', 'mistral', 'ml', 'mlops', 'model-inference', 'mpt', 'open-source-llm', 'openllm', 'stablelm', 'vicuna'] | ['ai', 'bentoml', 'falcon', 'fine-tuning', 'llama', 'llama2', 'llm', 'llm-inference', 'llm-ops', 'llm-serving', 'llmops', 'mistral', 'ml', 'mlops', 'model-inference', 'mpt', 'open-source-llm', 'openllm', 'stablelm', 'vicuna'] | 2024-01-12 | [('vllm-project/vllm', 0.7688142657279968, 'llm', 5), ('predibase/lorax', 0.7207032442092896, 'llm', 6), ('eugeneyan/open-llms', 0.7019832134246826, 'study', 1), ('bigscience-workshop/petals', 0.6789776682853699, 'data', 3), ('ray-project/ray-llm', 0.6621026396751404, 'llm', 4), ('h2oai/h2o-llmstudio', 0.65861713886260... | 23 | 2 | null | 26.02 | 385 | 341 | 9 | 0 | 105 | 184 | 105 | 384 | 275 | 90 | 0.7 | 71 |
1,464 | llm | https://github.com/huggingface/text-generation-inference | [] | null | [] | [] | null | null | null | huggingface/text-generation-inference | text-generation-inference | 6,605 | 714 | 88 | Python | http://hf.co/docs/text-generation-inference | Large Language Model Text Generation Inference | huggingface | 2024-01-14 | 2022-10-08 | 68 | 96.524008 | https://avatars.githubusercontent.com/u/25720743?v=4 | Large Language Model Text Generation Inference | ['bloom', 'deep-learning', 'falcon', 'gpt', 'inference', 'nlp', 'pytorch', 'starcoder', 'transformer'] | ['bloom', 'deep-learning', 'falcon', 'gpt', 'inference', 'nlp', 'pytorch', 'starcoder', 'transformer'] | 2024-01-11 | [('infinitylogesh/mutate', 0.6840097904205322, 'nlp', 0), ('lianjiatech/belle', 0.6746523380279541, 'llm', 1), ('bytedance/lightseq', 0.672805666923523, 'nlp', 3), ('google-research/electra', 0.648766815662384, 'ml-dl', 2), ('minimaxir/gpt-2-simple', 0.6420865058898926, 'llm', 0), ('minimaxir/textgenrnn', 0.63329511880... | 59 | 4 | null | 9.02 | 365 | 244 | 15 | 0 | 32 | 26 | 32 | 365 | 867 | 90 | 2.4 | 71 |
1,848 | llm | https://github.com/assafelovic/gpt-researcher | ['researcher', 'autonomous-agent'] | null | [] | [] | null | null | null | assafelovic/gpt-researcher | gpt-researcher | 6,496 | 770 | 70 | Python | https://tavily.com | GPT based autonomous agent that does online comprehensive research on any given topic | assafelovic | 2024-01-14 | 2023-05-12 | 37 | 172.897338 | null | GPT based autonomous agent that does online comprehensive research on any given topic | [] | ['autonomous-agent', 'researcher'] | 2024-01-07 | [('yoheinakajima/babyagi', 0.6752115488052368, 'llm', 0), ('linksoul-ai/autoagents', 0.6728865504264832, 'llm', 0), ('torantulino/auto-gpt', 0.6427838802337646, 'llm', 0), ('geekan/metagpt', 0.6312734484672546, 'llm', 0), ('transformeroptimus/superagi', 0.5870476961135864, 'llm', 0), ('oneil512/insight', 0.549537241458... | 25 | 5 | null | 6.81 | 121 | 88 | 8 | 0 | 13 | 20 | 13 | 120 | 139 | 90 | 1.2 | 71 |
178 | web | https://github.com/psf/requests | [] | null | [] | [] | null | null | null | psf/requests | requests | 50,848 | 9,298 | 1,340 | Python | https://requests.readthedocs.io/en/latest/ | A simple, yet elegant, HTTP library. | psf | 2024-01-14 | 2011-02-13 | 676 | 75.187157 | https://avatars.githubusercontent.com/u/50630501?v=4 | A simple, yet elegant, HTTP library. | ['client', 'cookies', 'forhumans', 'http', 'humans', 'python-requests', 'requests'] | ['client', 'cookies', 'forhumans', 'http', 'humans', 'python-requests', 'requests'] | 2024-01-08 | [('requests/toolbelt', 0.7315183281898499, 'util', 2), ('encode/httpx', 0.7030969858169556, 'web', 1), ('encode/uvicorn', 0.6152986884117126, 'web', 1), ('getsentry/responses', 0.6119535565376282, 'testing', 1), ('simple-salesforce/simple-salesforce', 0.5815314650535583, 'data', 0), ('hugapi/hug', 0.5775818228721619, '... | 748 | 7 | null | 1.27 | 148 | 115 | 157 | 0 | 3 | 12 | 3 | 148 | 152 | 90 | 1 | 70 |
261 | web | https://github.com/sherlock-project/sherlock | [] | null | [] | [] | null | null | null | sherlock-project/sherlock | sherlock | 46,128 | 5,887 | 1,063 | Python | http://sherlock-project.github.io | π Hunt down social media accounts by username across social networks | sherlock-project | 2024-01-14 | 2018-12-24 | 266 | 173.320451 | https://avatars.githubusercontent.com/u/48293496?v=4 | π Hunt down social media accounts by username across social networks | ['cli', 'information-gathering', 'linux', 'macos', 'osint', 'reconnaissance', 'redteam', 'sherlock', 'tools', 'windows'] | ['cli', 'information-gathering', 'linux', 'macos', 'osint', 'reconnaissance', 'redteam', 'sherlock', 'tools', 'windows'] | 2024-01-10 | [('twintproject/twint', 0.5957009196281433, 'data', 1)] | 225 | 4 | null | 2.71 | 78 | 51 | 62 | 0 | 0 | 0 | 0 | 78 | 62 | 90 | 0.8 | 70 |
220 | util | https://github.com/pyenv/pyenv | ['pip', 'venv'] | pyenv lets you easily switch between multiple versions of Python. | [] | [] | null | null | null | pyenv/pyenv | pyenv | 34,980 | 2,948 | 386 | Roff | null | Simple Python version management | pyenv | 2024-01-14 | 2012-08-31 | 595 | 58.733509 | https://avatars.githubusercontent.com/u/16530698?v=4 | Simple Python version management | ['shell'] | ['pip', 'shell', 'venv'] | 2023-12-31 | [('pypa/pipenv', 0.6903738379478455, 'util', 2), ('pypa/hatch', 0.6283936500549316, 'util', 0), ('pypa/virtualenv', 0.6280038952827454, 'util', 2), ('pypa/pipx', 0.6269603371620178, 'util', 2), ('pomponchik/instld', 0.6027212738990784, 'util', 2), ('thoth-station/micropipenv', 0.5758981704711914, 'util', 1), ('pantsbui... | 437 | 5 | null | 3.21 | 86 | 70 | 138 | 0 | 25 | 14 | 25 | 86 | 163 | 90 | 1.9 | 70 |
954 | security | https://github.com/certbot/certbot | [] | null | [] | [] | null | null | null | certbot/certbot | certbot | 30,525 | 3,449 | 761 | Python | null | Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol. | certbot | 2024-01-14 | 2014-11-12 | 480 | 63.480392 | https://avatars.githubusercontent.com/u/17889013?v=4 | Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol. | ['acme', 'acme-client', 'certbot', 'certificate', 'letsencrypt'] | ['acme', 'acme-client', 'certbot', 'certificate', 'letsencrypt'] | 2024-01-06 | [] | 525 | 4 | null | 4.79 | 137 | 79 | 112 | 0 | 10 | 14 | 10 | 138 | 214 | 90 | 1.6 | 70 |
17 | nlp | https://github.com/explosion/spacy | [] | null | [] | [] | null | null | null | explosion/spacy | spaCy | 27,972 | 4,354 | 557 | Python | https://spacy.io | π« Industrial-strength Natural Language Processing (NLP) in Python | explosion | 2024-01-14 | 2014-07-03 | 499 | 55.975986 | https://avatars.githubusercontent.com/u/20011530?v=4 | π« Industrial-strength Natural Language Processing (NLP) in Python | ['ai', 'artificial-intelligence', 'cython', 'data-science', 'deep-learning', 'entity-linking', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'neural-network', 'neural-networks', 'nlp', 'nlp-library', 'spacy', 'text-classification', 'tokenization'] | ['ai', 'artificial-intelligence', 'cython', 'data-science', 'deep-learning', 'entity-linking', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'neural-network', 'neural-networks', 'nlp', 'nlp-library', 'spacy', 'text-classification', 'tokenization'] | 2024-01-02 | [('sloria/textblob', 0.7043011784553528, 'nlp', 2), ('nltk/nltk', 0.6628869771957397, 'nlp', 3), ('flairnlp/flair', 0.6546562910079956, 'nlp', 4), ('allenai/allennlp', 0.6516764163970947, 'nlp', 4), ('keras-team/keras-nlp', 0.6470063924789429, 'nlp', 4), ('explosion/spacy-models', 0.6409233212471008, 'nlp', 4), ('norsk... | 746 | 3 | null | 6.94 | 97 | 76 | 116 | 0 | 12 | 16 | 12 | 97 | 177 | 90 | 1.8 | 70 |
1,064 | diffusion | https://github.com/lllyasviel/controlnet | [] | null | [] | [] | null | null | null | lllyasviel/controlnet | ControlNet | 26,084 | 2,427 | 202 | Python | null | Let us control diffusion models! | lllyasviel | 2024-01-14 | 2023-02-01 | 51 | 502.997245 | null | Let us control diffusion models! | [] | [] | 2023-09-09 | [('bentoml/onediffusion', 0.6226494908332825, 'diffusion', 0), ('openai/improved-diffusion', 0.5762985944747925, 'diffusion', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5530334115028381, 'diffusion', 0), ('carson-katri/dream-textures', 0.5427067279815674, 'diffusion', 0)] | 6 | 5 | null | 3.52 | 110 | 20 | 12 | 4 | 0 | 0 | 0 | 109 | 175 | 90 | 1.6 | 70 |
1,102 | llm | https://github.com/tloen/alpaca-lora | ['llama', 'language-model'] | null | [] | [] | null | null | null | tloen/alpaca-lora | alpaca-lora | 17,713 | 2,161 | 156 | Jupyter Notebook | null | Instruct-tune LLaMA on consumer hardware | tloen | 2024-01-14 | 2023-03-13 | 46 | 383.873065 | null | Instruct-tune LLaMA on consumer hardware | [] | ['language-model', 'llama'] | 2023-04-18 | [('zrrskywalker/llama-adapter', 0.7604994773864746, 'llm', 2), ('microsoft/llama-2-onnx', 0.7532107830047607, 'llm', 2), ('facebookresearch/llama-recipes', 0.6903901100158691, 'llm', 2), ('jzhang38/tinyllama', 0.6666224598884583, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.663759171962738, 'llm', 0), ('run-llama/llama-lab... | 41 | 9 | null | 2.85 | 57 | 12 | 10 | 9 | 0 | 0 | 0 | 57 | 76 | 90 | 1.3 | 70 |
120 | ml-ops | https://github.com/mlflow/mlflow | [] | null | [] | [] | null | null | null | mlflow/mlflow | mlflow | 16,234 | 3,772 | 292 | Python | https://mlflow.org | Open source platform for the machine learning lifecycle | mlflow | 2024-01-13 | 2018-06-05 | 295 | 55.030508 | https://avatars.githubusercontent.com/u/39938107?v=4 | Open source platform for the machine learning lifecycle | ['ai', 'apache-spark', 'machine-learning', 'ml', 'mlflow', 'model-management'] | ['ai', 'apache-spark', 'machine-learning', 'ml', 'mlflow', 'model-management'] | 2024-01-12 | [('tensorflow/tensorflow', 0.7961823344230652, 'ml-dl', 2), ('polyaxon/polyaxon', 0.7237421870231628, 'ml-ops', 2), ('microsoft/nni', 0.6970524191856384, 'ml', 1), ('determined-ai/determined', 0.6798075437545776, 'ml-ops', 1), ('onnx/onnx', 0.6629000902175903, 'ml', 2), ('huggingface/datasets', 0.6532941460609436, 'nlp... | 686 | 1 | null | 29.87 | 1,026 | 806 | 68 | 0 | 18 | 23 | 18 | 1,026 | 2,019 | 90 | 2 | 70 |
1,269 | data | https://github.com/qdrant/qdrant | ['vector-search'] | null | [] | [] | null | null | null | qdrant/qdrant | qdrant | 15,465 | 909 | 107 | Rust | https://qdrant.tech | Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | qdrant | 2024-01-14 | 2020-05-30 | 191 | 80.787313 | https://avatars.githubusercontent.com/u/73504361?v=4 | Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | ['approximate-nearest-neighbor-search', 'embeddings-similarity', 'hnsw', 'image-search', 'knn-algorithm', 'machine-learning', 'matching', 'mlops', 'nearest-neighbor-search', 'neural-network', 'neural-search', 'recommender-system', 'search', 'search-engine', 'search-engines', 'similarity-search', 'vector-database', 'vec... | ['approximate-nearest-neighbor-search', 'embeddings-similarity', 'hnsw', 'image-search', 'knn-algorithm', 'machine-learning', 'matching', 'mlops', 'nearest-neighbor-search', 'neural-network', 'neural-search', 'recommender-system', 'search', 'search-engine', 'search-engines', 'similarity-search', 'vector-database', 'vec... | 2023-12-19 | [('marqo-ai/marqo', 0.7367421984672546, 'ml', 4), ('activeloopai/deeplake', 0.6835601329803467, 'ml-ops', 4), ('lancedb/lancedb', 0.6593559384346008, 'data', 7), ('jina-ai/vectordb', 0.5856242775917053, 'data', 3), ('qdrant/vector-db-benchmark', 0.582831621170044, 'perf', 3), ('googlecloudplatform/vertex-ai-samples', 0... | 78 | 4 | null | 20.4 | 682 | 550 | 44 | 1 | 24 | 17 | 24 | 682 | 880 | 90 | 1.3 | 70 |
121 | ml-ops | https://github.com/prefecthq/prefect | [] | null | [] | [] | null | null | null | prefecthq/prefect | prefect | 13,774 | 1,409 | 159 | Python | https://prefect.io | Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines | prefecthq | 2024-01-13 | 2018-06-29 | 291 | 47.240568 | https://avatars.githubusercontent.com/u/39270919?v=4 | Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines | ['automation', 'data', 'data-engineering', 'data-ops', 'data-science', 'infrastructure', 'ml-ops', 'observability', 'orchestration', 'pipeline', 'prefect', 'workflow', 'workflow-engine'] | ['automation', 'data', 'data-engineering', 'data-ops', 'data-science', 'infrastructure', 'ml-ops', 'observability', 'orchestration', 'pipeline', 'prefect', 'workflow', 'workflow-engine'] | 2024-01-13 | [('prefecthq/server', 0.7347409129142761, 'util', 5), ('kestra-io/kestra', 0.6422749757766724, 'ml-ops', 6), ('flyteorg/flyte', 0.6408464312553406, 'ml-ops', 3), ('dagster-io/dagster', 0.5984505414962769, 'ml-ops', 4), ('prefecthq/prefect-dbt', 0.5904790759086609, 'ml-ops', 1), ('mage-ai/mage-ai', 0.5904417037963867, '... | 218 | 3 | null | 45.83 | 810 | 636 | 67 | 0 | 67 | 43 | 67 | 809 | 1,285 | 90 | 1.6 | 70 |
1,896 | nlp | https://github.com/myshell-ai/openvoice | [] | null | [] | [] | null | null | null | myshell-ai/openvoice | OpenVoice | 12,210 | 983 | 111 | Python | https://research.myshell.ai/open-voice | Instant voice cloning by MyShell. | myshell-ai | 2024-01-14 | 2023-11-29 | 8 | 1,378.548387 | https://avatars.githubusercontent.com/u/127754094?v=4 | Instant voice cloning by MyShell. | ['text-to-speech', 'tts', 'voice-clone', 'zero-shot-tts'] | ['text-to-speech', 'tts', 'voice-clone', 'zero-shot-tts'] | 2024-01-09 | [('plachtaa/vall-e-x', 0.6065437197685242, 'llm', 3), ('neonbjb/tortoise-tts', 0.57065349817276, 'ml', 1), ('vaibhavs10/insanely-fast-whisper', 0.5049346089363098, 'llm', 1)] | 8 | 4 | null | 1.25 | 103 | 45 | 2 | 0 | 0 | 0 | 0 | 103 | 244 | 90 | 2.4 | 70 |
532 | profiling | https://github.com/bloomberg/memray | [] | null | [] | [] | 1 | null | null | bloomberg/memray | memray | 11,750 | 383 | 58 | Python | https://bloomberg.github.io/memray/ | Memray is a memory profiler for Python | bloomberg | 2024-01-14 | 2022-04-08 | 94 | 124.244713 | https://avatars.githubusercontent.com/u/1416818?v=4 | Memray is a memory profiler for Python | ['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler'] | ['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler'] | 2024-01-12 | [('pythonspeed/filprofiler', 0.7156088352203369, 'profiling', 4), ('pympler/pympler', 0.5725077390670776, 'perf', 0), ('pythonprofilers/memory_profiler', 0.5463239550590515, 'profiling', 0)] | 42 | 5 | null | 4.33 | 45 | 38 | 22 | 0 | 8 | 11 | 8 | 45 | 94 | 90 | 2.1 | 70 |
1,802 | ml | https://github.com/microsoft/onnxruntime | [] | null | [] | [] | null | null | null | microsoft/onnxruntime | onnxruntime | 11,513 | 2,468 | 229 | C++ | https://onnxruntime.ai | ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator | microsoft | 2024-01-14 | 2018-11-10 | 272 | 42.260619 | https://avatars.githubusercontent.com/u/6154722?v=4 | ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator | ['ai-framework', 'deep-learning', 'hardware-acceleration', 'machine-learning', 'neural-networks', 'onnx', 'pytorch', 'scikit-learn', 'tensorflow'] | ['ai-framework', 'deep-learning', 'hardware-acceleration', 'machine-learning', 'neural-networks', 'onnx', 'pytorch', 'scikit-learn', 'tensorflow'] | 2024-01-14 | [('onnx/onnx', 0.727009654045105, 'ml', 6), ('tensorflow/tensorflow', 0.681681215763092, 'ml-dl', 3), ('tlkh/tf-metal-experiments', 0.6584108471870422, 'perf', 2), ('horovod/horovod', 0.6534867882728577, 'ml-ops', 4), ('determined-ai/determined', 0.643320620059967, 'ml-ops', 4), ('alpa-projects/alpa', 0.634034097194671... | 579 | 1 | null | 53.08 | 1,524 | 1,068 | 63 | 0 | 8 | 9 | 8 | 1,521 | 4,180 | 90 | 2.7 | 70 |
1,014 | pandas | https://github.com/kanaries/pygwalker | [] | null | [] | [] | 1 | null | null | kanaries/pygwalker | pygwalker | 8,574 | 403 | 52 | Python | https://kanaries.net/home/pygwalker | PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis | kanaries | 2024-01-14 | 2023-02-16 | 49 | 172.465517 | https://avatars.githubusercontent.com/u/57262471?v=4 | PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis | ['data-analysis', 'data-exploration', 'dataframe', 'matplotlib', 'pandas', 'plotly', 'tableau', 'tableau-alternative', 'visualization'] | ['data-analysis', 'data-exploration', 'dataframe', 'matplotlib', 'pandas', 'plotly', 'tableau', 'tableau-alternative', 'visualization'] | 2024-01-11 | [('lux-org/lux', 0.7356677055358887, 'viz', 2), ('man-group/dtale', 0.7181293368339539, 'viz', 3), ('holoviz/panel', 0.6920881271362305, 'viz', 2), ('adamerose/pandasgui', 0.6812300682067871, 'pandas', 2), ('mwaskom/seaborn', 0.6736312508583069, 'viz', 2), ('plotly/plotly.py', 0.6529722809791565, 'viz', 2), ('bokeh/bok... | 13 | 5 | null | 7.79 | 131 | 114 | 11 | 0 | 46 | 53 | 46 | 131 | 85 | 90 | 0.6 | 70 |
1,515 | llm | https://github.com/facebookresearch/llama-recipes | ['llama', 'language-model'] | null | [] | [] | null | null | null | facebookresearch/llama-recipes | llama-recipes | 6,547 | 906 | 55 | Jupyter Notebook | null | Examples and recipes for Llama 2 model | facebookresearch | 2024-01-14 | 2023-07-17 | 28 | 232.634518 | https://avatars.githubusercontent.com/u/16943930?v=4 | Examples and recipes for Llama 2 model | [] | ['language-model', 'llama'] | 2024-01-12 | [('microsoft/llama-2-onnx', 0.820441722869873, 'llm', 2), ('facebookresearch/llama', 0.7843647003173828, 'llm', 2), ('karpathy/llama2.c', 0.7288556098937988, 'llm', 2), ('run-llama/llama-lab', 0.7252361178398132, 'llm', 2), ('tloen/alpaca-lora', 0.6903901100158691, 'llm', 2), ('jzhang38/tinyllama', 0.6900231242179871, ... | 46 | 4 | null | 8.65 | 139 | 73 | 6 | 0 | 0 | 0 | 0 | 139 | 189 | 90 | 1.4 | 70 |
587 | util | https://github.com/mingrammer/diagrams | [] | null | [] | [] | null | null | null | mingrammer/diagrams | diagrams | 32,318 | 2,122 | 377 | Python | https://diagrams.mingrammer.com | :art: Diagram as Code for prototyping cloud system architectures | mingrammer | 2024-01-14 | 2020-02-02 | 208 | 155.161866 | null | :art: Diagram as Code for prototyping cloud system architectures | ['architecture', 'diagram', 'diagram-as-code', 'graphviz'] | ['architecture', 'diagram', 'diagram-as-code', 'graphviz'] | 2024-01-05 | [('zenml-io/mlstacks', 0.5006417036056519, 'ml-ops', 0)] | 137 | 7 | null | 0.42 | 56 | 28 | 48 | 0 | 1 | 10 | 1 | 56 | 46 | 90 | 0.8 | 69 |
1,201 | ml | https://github.com/suno-ai/bark | ['multilingual', 'audio'] | null | [] | [] | null | null | null | suno-ai/bark | bark | 29,862 | 3,523 | 289 | Jupyter Notebook | null | π Text-Prompted Generative Audio Model | suno-ai | 2024-01-14 | 2023-04-07 | 42 | 701.456376 | https://avatars.githubusercontent.com/u/99442120?v=4 | π Text-Prompted Generative Audio Model | [] | ['audio', 'multilingual'] | 2023-09-28 | [('pollinations/dance-diffusion', 0.6367303729057312, 'diffusion', 1), ('facebookresearch/seamless_communication', 0.553849995136261, 'nlp', 0), ('thudm/chatglm-6b', 0.552562415599823, 'llm', 0), ('openai/finetune-transformer-lm', 0.5396863222122192, 'llm', 0), ('hazyresearch/ama_prompting', 0.5254032015800476, 'llm', ... | 17 | 5 | null | 1.42 | 67 | 14 | 9 | 4 | 0 | 0 | 0 | 67 | 91 | 90 | 1.4 | 69 |
672 | ml-dl | https://github.com/facebookresearch/detectron2 | [] | null | [] | [] | null | null | null | facebookresearch/detectron2 | detectron2 | 27,792 | 7,230 | 380 | Python | https://detectron2.readthedocs.io/en/latest/ | Detectron2 is a platform for object detection, segmentation and other visual recognition tasks. | facebookresearch | 2024-01-14 | 2019-09-05 | 229 | 120.985075 | https://avatars.githubusercontent.com/u/16943930?v=4 | Detectron2 is a platform for object detection, segmentation and other visual recognition tasks. | [] | [] | 2024-01-09 | [('open-mmlab/mmdetection', 0.5715402960777283, 'ml', 0), ('roboflow/supervision', 0.5367303490638733, 'ml', 0), ('deci-ai/super-gradients', 0.5197049379348755, 'ml-dl', 0), ('nvlabs/gcvit', 0.504278838634491, 'diffusion', 0)] | 263 | 3 | null | 1.44 | 134 | 65 | 53 | 0 | 0 | 3 | 3 | 133 | 157 | 90 | 1.2 | 69 |
348 | ml | https://github.com/jina-ai/jina | [] | null | [] | [] | null | null | null | jina-ai/jina | jina | 19,552 | 2,201 | 205 | Python | https://docs.jina.ai | βοΈ Build multimodal AI applications with cloud-native stack | jina-ai | 2024-01-14 | 2020-02-13 | 206 | 94.584658 | https://avatars.githubusercontent.com/u/60539444?v=4 | βοΈ Build multimodal AI applications with cloud-native stack | ['cloud-native', 'cncf', 'deep-learning', 'docker', 'fastapi', 'framework', 'generative-ai', 'grpc', 'jaeger', 'kubernetes', 'llmops', 'machine-learning', 'microservice', 'mlops', 'multimodal', 'neural-search', 'opentelemetry', 'orchestration', 'pipeline', 'prometheus'] | ['cloud-native', 'cncf', 'deep-learning', 'docker', 'fastapi', 'framework', 'generative-ai', 'grpc', 'jaeger', 'kubernetes', 'llmops', 'machine-learning', 'microservice', 'mlops', 'multimodal', 'neural-search', 'opentelemetry', 'orchestration', 'pipeline', 'prometheus'] | 2024-01-10 | [('bentoml/bentoml', 0.692993700504303, 'ml-ops', 6), ('cheshire-cat-ai/core', 0.6241676807403564, 'llm', 1), ('googlecloudplatform/vertex-ai-samples', 0.6033614873886108, 'ml', 1), ('skypilot-org/skypilot', 0.5877841711044312, 'llm', 2), ('mlc-ai/mlc-llm', 0.581267774105072, 'llm', 0), ('microsoft/onnxruntime', 0.5709... | 176 | 2 | null | 6.81 | 198 | 181 | 48 | 0 | 25 | 99 | 25 | 198 | 172 | 90 | 0.9 | 69 |
280 | util | https://github.com/squidfunk/mkdocs-material | [] | null | [] | [] | null | null | null | squidfunk/mkdocs-material | mkdocs-material | 16,958 | 3,239 | 123 | HTML | https://squidfunk.github.io/mkdocs-material/ | Documentation that simply works | squidfunk | 2024-01-14 | 2016-01-28 | 417 | 40.597127 | null | Documentation that simply works | ['documentation', 'framework', 'material-design', 'mkdocs', 'plugins', 'theme'] | ['documentation', 'framework', 'material-design', 'mkdocs', 'plugins', 'theme'] | 2024-01-10 | [('mkdocstrings/mkdocstrings', 0.6913550496101379, 'util', 1), ('sphinx-doc/sphinx', 0.6544510126113892, 'util', 1), ('mitmproxy/pdoc', 0.6519834399223328, 'util', 1), ('mkdocs/mkdocs', 0.6341920495033264, 'util', 2), ('executablebooks/jupyter-book', 0.5147403478622437, 'jupyter', 0)] | 249 | 3 | null | 17.6 | 316 | 282 | 97 | 0 | 68 | 46 | 68 | 316 | 870 | 90 | 2.8 | 69 |
1,611 | llm | https://github.com/thudm/chatglm2-6b | [] | null | [] | [] | null | null | null | thudm/chatglm2-6b | ChatGLM2-6B | 14,854 | 2,347 | 130 | Python | null | ChatGLM2-6B: An Open Bilingual Chat LLM | εΌζΊεθ―ε―Ήθ―θ―θ¨ζ¨‘ε | thudm | 2024-01-14 | 2023-06-24 | 31 | 472.627273 | https://avatars.githubusercontent.com/u/48590610?v=4 | ChatGLM2-6B: An Open Bilingual Chat LLM | εΌζΊεθ―ε―Ήθ―θ―θ¨ζ¨‘ε | ['chatglm', 'chatglm-6b', 'large-language-models', 'llm'] | ['chatglm', 'chatglm-6b', 'large-language-models', 'llm'] | 2023-10-27 | [('li-plus/chatglm.cpp', 0.7250033617019653, 'llm', 2), ('thudm/chatglm-6b', 0.7089318633079529, 'llm', 0), ('nomic-ai/gpt4all', 0.6924757957458496, 'llm', 0), ('hwchase17/langchain', 0.6808525919914246, 'llm', 0), ('fasteval/fasteval', 0.6485232710838318, 'llm', 1), ('microsoft/autogen', 0.6360533237457275, 'llm', 0),... | 11 | 9 | null | 1.1 | 123 | 18 | 7 | 3 | 0 | 0 | 0 | 123 | 118 | 90 | 1 | 69 |
1,307 | study | https://github.com/hannibal046/awesome-llm | ['awesome', 'language-model', 'gpt'] | null | [] | [] | null | null | null | hannibal046/awesome-llm | Awesome-LLM | 11,253 | 847 | 293 | null | null | Awesome-LLM: a curated list of Large Language Model | hannibal046 | 2024-01-14 | 2023-02-17 | 49 | 227.005764 | null | Awesome-LLM: a curated list of Large Language Model | [] | ['awesome', 'gpt', 'language-model'] | 2024-01-04 | [('lianjiatech/belle', 0.8117328882217407, 'llm', 0), ('freedomintelligence/llmzoo', 0.7315229177474976, 'llm', 1), ('ai21labs/lm-evaluation', 0.725335955619812, 'llm', 1), ('ctlllll/llm-toolmaker', 0.708982527256012, 'llm', 1), ('juncongmoo/pyllama', 0.6920731067657471, 'llm', 0), ('next-gpt/next-gpt', 0.6860809922218... | 64 | 6 | null | 5.29 | 17 | 14 | 11 | 0 | 0 | 0 | 0 | 17 | 21 | 90 | 1.2 | 69 |
122 | ml-ops | https://github.com/dagster-io/dagster | [] | null | [] | [] | null | null | null | dagster-io/dagster | dagster | 9,380 | 1,160 | 108 | Python | https://dagster.io | An orchestration platform for the development, production, and observation of data assets. | dagster-io | 2024-01-14 | 2018-04-30 | 300 | 31.251785 | https://avatars.githubusercontent.com/u/40032576?v=4 | An orchestration platform for the development, production, and observation of data assets. | ['analytics', 'dagster', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'etl', 'metadata', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-automation'] | ['analytics', 'dagster', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'etl', 'metadata', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-automation'] | 2024-01-13 | [('flyteorg/flyte', 0.7850085496902466, 'ml-ops', 3), ('kestra-io/kestra', 0.7322535514831543, 'ml-ops', 7), ('airbytehq/airbyte', 0.6772870421409607, 'data', 3), ('mage-ai/mage-ai', 0.6750965714454651, 'ml-ops', 6), ('apache/airflow', 0.6647198796272278, 'ml-ops', 10), ('orchest/orchest', 0.6582160592079163, 'ml-ops',... | 380 | 4 | null | 78.85 | 1,651 | 1,070 | 70 | 0 | 66 | 125 | 66 | 1,649 | 2,509 | 90 | 1.5 | 69 |
83 | data | https://github.com/sqlalchemy/sqlalchemy | [] | null | [] | [] | null | null | null | sqlalchemy/sqlalchemy | sqlalchemy | 8,261 | 1,314 | 90 | Python | https://www.sqlalchemy.org | The Database Toolkit for Python | sqlalchemy | 2024-01-14 | 2018-11-27 | 270 | 30.596296 | https://avatars.githubusercontent.com/u/6043126?v=4 | The Database Toolkit for Python | ['sql', 'sqlalchemy'] | ['sql', 'sqlalchemy'] | 2024-01-13 | [('sqlalchemy/alembic', 0.8273295164108276, 'data', 2), ('tiangolo/sqlmodel', 0.8052466511726379, 'data', 2), ('agronholm/sqlacodegen', 0.7499924302101135, 'data', 0), ('ibis-project/ibis', 0.741746723651886, 'data', 2), ('mause/duckdb_engine', 0.6847227215766907, 'data', 2), ('mcfunley/pugsql', 0.6739656329154968, 'da... | 677 | 5 | null | 17.87 | 234 | 158 | 62 | 0 | 32 | 59 | 32 | 234 | 797 | 90 | 3.4 | 69 |
1,894 | nlp | https://github.com/m-bain/whisperx | [] | null | [] | [] | null | null | null | m-bain/whisperx | whisperX | 7,397 | 703 | 106 | Python | null | WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization) | m-bain | 2024-01-14 | 2022-12-09 | 59 | 124.170264 | null | WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization) | ['asr', 'speech', 'speech-recognition', 'speech-to-text', 'whisper'] | ['asr', 'speech', 'speech-recognition', 'speech-to-text', 'whisper'] | 2024-01-03 | [('uberi/speech_recognition', 0.6138349771499634, 'ml', 2), ('cmusphinx/pocketsphinx', 0.58738112449646, 'ml', 1), ('espnet/espnet', 0.5822861194610596, 'nlp', 1), ('ggerganov/whisper.cpp', 0.582147479057312, 'util', 3), ('speechbrain/speechbrain', 0.5771469473838806, 'nlp', 3), ('vaibhavs10/insanely-fast-whisper', 0.5... | 67 | 4 | null | 3.71 | 187 | 61 | 13 | 0 | 7 | 7 | 7 | 186 | 273 | 90 | 1.5 | 69 |
1,365 | llm | https://github.com/chainlit/chainlit | [] | null | [] | [] | null | null | null | chainlit/chainlit | chainlit | 4,315 | 504 | 43 | TypeScript | https://docs.chainlit.io | Build Python LLM apps in minutes β‘οΈ | chainlit | 2024-01-14 | 2023-03-14 | 46 | 93.804348 | https://avatars.githubusercontent.com/u/128686189?v=4 | Build Python LLM apps in minutes β‘οΈ | ['chatgpt', 'langchain', 'llm', 'openai', 'openai-chatgpt', 'ui'] | ['chatgpt', 'langchain', 'llm', 'openai', 'openai-chatgpt', 'ui'] | 2024-01-12 | [('berriai/litellm', 0.6367120742797852, 'llm', 3), ('hwchase17/langchain', 0.6356831789016724, 'llm', 1), ('shishirpatil/gorilla', 0.6185116171836853, 'llm', 2), ('mmabrouk/chatgpt-wrapper', 0.6109486222267151, 'llm', 3), ('run-llama/rags', 0.61057049036026, 'llm', 3), ('microsoft/promptflow', 0.6072118878364563, 'llm... | 28 | 5 | null | 11.1 | 218 | 153 | 10 | 0 | 59 | 72 | 59 | 218 | 429 | 90 | 2 | 69 |
1,402 | security | https://github.com/swisskyrepo/payloadsallthethings | [] | null | [] | [] | null | null | null | swisskyrepo/payloadsallthethings | PayloadsAllTheThings | 54,665 | 13,867 | 1,762 | Python | https://swisskyrepo.github.io/PayloadsAllTheThings/ | A list of useful payloads and bypass for Web Application Security and Pentest/CTF | swisskyrepo | 2024-01-14 | 2016-10-18 | 380 | 143.855263 | null | A list of useful payloads and bypass for Web Application Security and Pentest/CTF | ['bounty', 'bugbounty', 'bypass', 'cheatsheet', 'enumeration', 'hacking', 'methodology', 'payload', 'payloads', 'penetration-testing', 'pentest', 'privilege-escalation', 'redteam', 'security', 'vulnerability', 'web-application'] | ['bounty', 'bugbounty', 'bypass', 'cheatsheet', 'enumeration', 'hacking', 'methodology', 'payload', 'payloads', 'penetration-testing', 'pentest', 'privilege-escalation', 'redteam', 'security', 'vulnerability', 'web-application'] | 2024-01-12 | [('flipkart-incubator/astra', 0.5459146499633789, 'web', 2), ('rhinosecuritylabs/pacu', 0.5338615775108337, 'security', 2), ('sqlmapproject/sqlmap', 0.5263312458992004, 'security', 0)] | 288 | 5 | null | 2.88 | 21 | 21 | 88 | 0 | 0 | 1 | 1 | 21 | 6 | 90 | 0.3 | 68 |
1,165 | ml-dl | https://github.com/facebookresearch/segment-anything | ['instance-segmentation', 'object-detection'] | null | [] | [] | null | null | null | facebookresearch/segment-anything | segment-anything | 41,500 | 4,868 | 287 | Jupyter Notebook | null | The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. | facebookresearch | 2024-01-14 | 2023-03-23 | 44 | 928.115016 | https://avatars.githubusercontent.com/u/16943930?v=4 | The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. | [] | ['instance-segmentation', 'object-detection'] | 2023-05-02 | [('matterport/mask_rcnn', 0.5424768328666687, 'ml-dl', 2), ('roboflow/notebooks', 0.51060950756073, 'study', 1)] | 16 | 5 | null | 0.67 | 159 | 29 | 10 | 9 | 0 | 0 | 0 | 159 | 259 | 90 | 1.6 | 68 |
1,381 | ml | https://github.com/google-research/google-research | [] | This repository contains code released by Google Research | [] | [] | null | null | null | google-research/google-research | google-research | 31,889 | 7,754 | 749 | Jupyter Notebook | https://research.google | Google Research | google-research | 2024-01-14 | 2018-10-04 | 277 | 114.826646 | https://avatars.githubusercontent.com/u/43830688?v=4 | Google Research | ['ai', 'machine-learning', 'research'] | ['ai', 'machine-learning', 'research'] | 2024-01-09 | [('google-research/language', 0.6985517740249634, 'nlp', 2), ('googlecloudplatform/vertex-ai-samples', 0.6550525426864624, 'ml', 1), ('alirezadir/machine-learning-interview-enlightener', 0.6368386745452881, 'study', 2), ('google-research/byt5', 0.6097835898399353, 'nlp', 0), ('google-research/t5x', 0.6067818999290466, ... | 763 | 3 | null | 10.79 | 136 | 26 | 64 | 0 | 0 | 0 | 0 | 136 | 96 | 90 | 0.7 | 68 |
1,183 | ml | https://github.com/facebookresearch/faiss | ['similarity', 'embeddings', 'vector-search'] | null | [] | [] | 1 | null | null | facebookresearch/faiss | faiss | 26,250 | 3,274 | 470 | C++ | https://faiss.ai | A library for efficient similarity search and clustering of dense vectors. | facebookresearch | 2024-01-14 | 2017-02-07 | 364 | 72.115385 | https://avatars.githubusercontent.com/u/16943930?v=4 | A library for efficient similarity search and clustering of dense vectors. | [] | ['embeddings', 'similarity', 'vector-search'] | 2024-01-13 | [('criteo/autofaiss', 0.629601776599884, 'ml', 3), ('qdrant/quaterion', 0.5449787378311157, 'ml', 0), ('qdrant/fastembed', 0.5384175777435303, 'ml', 2), ('plasticityai/magnitude', 0.5381598472595215, 'nlp', 1), ('qdrant/vector-db-benchmark', 0.5264250636100769, 'perf', 1), ('qdrant/qdrant-haystack', 0.518367350101471, ... | 150 | 6 | null | 4.33 | 163 | 82 | 84 | 0 | 1 | 3 | 1 | 163 | 287 | 90 | 1.8 | 68 |
45 | testing | https://github.com/locustio/locust | [] | null | [] | [] | 1 | null | null | locustio/locust | locust | 22,905 | 2,864 | 434 | Python | null | Write scalable load tests in plain Python ππ¨ | locustio | 2024-01-13 | 2011-02-17 | 675 | 33.897463 | https://avatars.githubusercontent.com/u/2641063?v=4 | Write scalable load tests in plain Python ππ¨ | ['benchmarking', 'http', 'load-generator', 'load-test', 'load-testing', 'load-tests', 'locust', 'performance', 'performance-testing'] | ['benchmarking', 'http', 'load-generator', 'load-test', 'load-testing', 'load-tests', 'locust', 'performance', 'performance-testing'] | 2024-01-11 | [('ionelmc/pytest-benchmark', 0.6405083537101746, 'testing', 2), ('klen/py-frameworks-bench', 0.6128438115119934, 'perf', 0), ('wolever/parameterized', 0.5832534432411194, 'testing', 0), ('neoteroi/blacksheep', 0.5740907192230225, 'web', 1), ('pmorissette/bt', 0.5575364828109741, 'finance', 0), ('sumerc/yappi', 0.53971... | 312 | 6 | null | 6.92 | 163 | 154 | 157 | 0 | 14 | 9 | 14 | 163 | 376 | 90 | 2.3 | 68 |
1,168 | llm | https://github.com/microsoft/jarvis | [] | null | [] | [] | null | null | null | microsoft/jarvis | JARVIS | 22,433 | 1,941 | 376 | Python | null | JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf | microsoft | 2024-01-14 | 2023-03-30 | 43 | 513.173203 | https://avatars.githubusercontent.com/u/6154722?v=4 | JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf | ['deep-learning', 'platform', 'pytorch'] | ['deep-learning', 'platform', 'pytorch'] | 2024-01-12 | [('iryna-kondr/scikit-llm', 0.6588683128356934, 'llm', 1), ('vllm-project/vllm', 0.632617175579071, 'llm', 1), ('microsoft/torchscale', 0.5797202587127686, 'llm', 0), ('ludwig-ai/ludwig', 0.5734522342681885, 'ml-ops', 2), ('microsoft/semantic-kernel', 0.572293758392334, 'llm', 0), ('nomic-ai/gpt4all', 0.568727910518646... | 23 | 5 | null | 1.42 | 25 | 1 | 10 | 0 | 0 | 0 | 0 | 25 | 9 | 90 | 0.4 | 68 |
6 | viz | https://github.com/bokeh/bokeh | [] | null | [] | [] | null | null | null | bokeh/bokeh | bokeh | 18,477 | 4,202 | 443 | Python | https://bokeh.org | Interactive Data Visualization in the browser, from Python | bokeh | 2024-01-13 | 2012-03-26 | 618 | 29.891149 | https://avatars.githubusercontent.com/u/8440965?v=4 | Interactive Data Visualization in the browser, from Python | ['bokeh', 'data-visualisation', 'interactive-plots', 'javascript', 'jupyter', 'notebooks', 'numfocus', 'plots', 'plotting', 'visualisation', 'visualization'] | ['bokeh', 'data-visualisation', 'interactive-plots', 'javascript', 'jupyter', 'notebooks', 'numfocus', 'plots', 'plotting', 'visualisation', 'visualization'] | 2024-01-09 | [('holoviz/panel', 0.7603949308395386, 'viz', 2), ('plotly/plotly.py', 0.7521082758903503, 'viz', 1), ('plotly/dash', 0.7066522240638733, 'viz', 1), ('man-group/dtale', 0.6867046356201172, 'viz', 1), ('vizzuhq/ipyvizzu', 0.6746152639389038, 'jupyter', 2), ('maartenbreddels/ipyvolume', 0.6592708230018616, 'jupyter', 3),... | 680 | 5 | null | 8.69 | 330 | 228 | 144 | 0 | 0 | 9 | 9 | 330 | 712 | 90 | 2.2 | 68 |
1,172 | llm | https://github.com/yoheinakajima/babyagi | ['autonomous-agents', 'artificial-intelligence'] | GPT-4 powered task-driven autonomous agent | [] | [] | null | null | null | yoheinakajima/babyagi | babyagi | 18,298 | 2,473 | 280 | Python | null | null | yoheinakajima | 2024-01-14 | 2023-04-03 | 43 | 424.125828 | null | GPT-4 powered task-driven autonomous agent | [] | ['artificial-intelligence', 'autonomous-agents'] | 2023-09-07 | [('assafelovic/gpt-researcher', 0.6752115488052368, 'llm', 0), ('linksoul-ai/autoagents', 0.6577290892601013, 'llm', 1), ('torantulino/auto-gpt', 0.6121024489402771, 'llm', 2), ('antonosika/gpt-engineer', 0.5550106763839722, 'llm', 0), ('operand/agency', 0.53130042552948, 'llm', 2), ('transformeroptimus/superagi', 0.53... | 87 | 5 | null | 5.17 | 6 | 2 | 10 | 4 | 0 | 1 | 1 | 6 | 1 | 90 | 0.2 | 68 |
75 | typing | https://github.com/python/mypy | ['code-quality'] | null | [] | [] | null | null | null | python/mypy | mypy | 17,020 | 2,765 | 236 | Python | https://www.mypy-lang.org/ | Optional static typing for Python | python | 2024-01-13 | 2012-12-07 | 581 | 29.265537 | https://avatars.githubusercontent.com/u/1525981?v=4 | Optional static typing for Python | ['linter', 'typechecker', 'types', 'typing'] | ['code-quality', 'linter', 'typechecker', 'types', 'typing'] | 2024-01-14 | [('microsoft/pyright', 0.8244960904121399, 'typing', 2), ('google/pytype', 0.7456424236297607, 'typing', 5), ('agronholm/typeguard', 0.7131239771842957, 'typing', 2), ('instagram/monkeytype', 0.7129145264625549, 'typing', 1), ('python/typeshed', 0.6911789178848267, 'typing', 3), ('facebook/pyre-check', 0.62822794914245... | 690 | 4 | null | 16.1 | 739 | 373 | 135 | 0 | 0 | 8 | 8 | 737 | 1,435 | 90 | 1.9 | 68 |
766 | ml-dl | https://github.com/sanster/lama-cleaner | [] | null | [] | [] | null | null | null | sanster/lama-cleaner | lama-cleaner | 14,764 | 1,530 | 119 | Python | https://lama-cleaner-docs.vercel.app/ | Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures. | sanster | 2024-01-14 | 2021-11-15 | 115 | 128.223325 | null | Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures. | ['inpainting', 'lama', 'latent-diffusion', 'mat', 'pytorch', 'stable-diffusion', 'zits'] | ['inpainting', 'lama', 'latent-diffusion', 'mat', 'pytorch', 'stable-diffusion', 'zits'] | 2024-01-08 | [('open-mmlab/mmediting', 0.5644564032554626, 'ml', 2), ('invoke-ai/invokeai', 0.551865816116333, 'diffusion', 3), ('lkwq007/stablediffusion-infinity', 0.5446968078613281, 'diffusion', 2), ('carson-katri/dream-textures', 0.5392587780952454, 'diffusion', 1), ('timothybrooks/instruct-pix2pix', 0.5218861699104309, 'diffus... | 14 | 5 | null | 3.37 | 31 | 12 | 26 | 0 | 11 | 23 | 11 | 31 | 39 | 90 | 1.3 | 68 |
407 | web | https://github.com/aio-libs/aiohttp | [] | null | [] | [] | null | null | null | aio-libs/aiohttp | aiohttp | 14,277 | 1,996 | 222 | Python | https://docs.aiohttp.org | Asynchronous HTTP client/server framework for asyncio and Python | aio-libs | 2024-01-14 | 2013-10-01 | 539 | 26.487941 | https://avatars.githubusercontent.com/u/7049303?v=4 | Asynchronous HTTP client/server framework for asyncio and Python | ['aiohttp', 'async', 'asyncio', 'http', 'http-client', 'http-server'] | ['aiohttp', 'async', 'asyncio', 'http', 'http-client', 'http-server'] | 2024-01-12 | [('encode/httpx', 0.8457793593406677, 'web', 2), ('encode/uvicorn', 0.7939640879631042, 'web', 3), ('pallets/quart', 0.7800691723823547, 'web', 2), ('neoteroi/blacksheep', 0.7317296862602234, 'web', 3), ('alirn76/panther', 0.7044265270233154, 'web', 0), ('magicstack/uvloop', 0.6718955636024475, 'util', 2), ('miguelgrin... | 708 | 5 | null | 8.79 | 385 | 315 | 125 | 0 | 8 | 24 | 8 | 381 | 1,111 | 90 | 2.9 | 68 |
381 | llm | https://github.com/deepset-ai/haystack | ['haystack'] | null | [] | [] | 1 | null | null | deepset-ai/haystack | haystack | 12,318 | 1,539 | 121 | Python | https://haystack.deepset.ai | :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or convers... | deepset-ai | 2024-01-14 | 2019-11-14 | 219 | 56.063719 | https://avatars.githubusercontent.com/u/51827949?v=4 | :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or convers... | ['ai', 'bert', 'chatgpt', 'generative-ai', 'gpt-3', 'information-retrieval', 'language-model', 'large-language-models', 'machine-learning', 'nlp', 'pytorch', 'question-answering', 'semantic-search', 'squad', 'summarization', 'transformers'] | ['ai', 'bert', 'chatgpt', 'generative-ai', 'gpt-3', 'haystack', 'information-retrieval', 'language-model', 'large-language-models', 'machine-learning', 'nlp', 'pytorch', 'question-answering', 'semantic-search', 'squad', 'summarization', 'transformers'] | 2024-01-12 | [('pathwaycom/llm-app', 0.7468881607055664, 'llm', 1), ('llmware-ai/llmware', 0.6901717185974121, 'llm', 11), ('nomic-ai/gpt4all', 0.6876985430717468, 'llm', 1), ('embedchain/embedchain', 0.6720160841941833, 'llm', 2), ('rcgai/simplyretrieve', 0.67171311378479, 'llm', 4), ('paddlepaddle/paddlenlp', 0.6606729626655579, ... | 226 | 2 | null | 23.33 | 980 | 749 | 51 | 0 | 40 | 26 | 40 | 978 | 1,043 | 90 | 1.1 | 68 |
80 | math | https://github.com/scipy/scipy | [] | null | [] | [] | null | null | null | scipy/scipy | scipy | 12,076 | 4,979 | 349 | Python | https://scipy.org | SciPy library main repository | scipy | 2024-01-13 | 2011-03-09 | 672 | 17.947346 | https://avatars.githubusercontent.com/u/288277?v=4 | SciPy library main repository | ['algorithms', 'scientific-computing', 'scipy'] | ['algorithms', 'scientific-computing', 'scipy'] | 2024-01-14 | [('numpy/numpy', 0.7627651691436768, 'math', 0), ('scikit-geometry/scikit-geometry', 0.6300176382064819, 'gis', 0), ('sympy/sympy', 0.6143859028816223, 'math', 0), ('roban/cosmolopy', 0.6138890385627747, 'sim', 0), ('dask/dask', 0.6020888686180115, 'perf', 1), ('cma-es/pycma', 0.5867729187011719, 'math', 0), ('scikit-l... | 1,572 | 4 | null | 42.25 | 891 | 449 | 156 | 0 | 10 | 12 | 10 | 891 | 2,493 | 90 | 2.8 | 68 |
1,390 | finance | https://github.com/ai4finance-foundation/fingpt | ['language-model', 'llm'] | null | [] | [] | null | null | null | ai4finance-foundation/fingpt | FinGPT | 10,239 | 2,162 | 209 | Jupyter Notebook | https://discord.gg/trsr8SXpW5 | Data-Centric FinGPT. Open-source for open finance! Revolutionize π₯ We release the trained model on HuggingFace. | ai4finance-foundation | 2024-01-14 | 2023-02-11 | 50 | 203.03966 | https://avatars.githubusercontent.com/u/68813910?v=4 | Data-Centric FinGPT. Open-source for open finance! Revolutionize π₯ We release the trained model on HuggingFace. | ['chatgpt', 'finance', 'fingpt', 'fintech', 'large-language-models', 'machine-learning', 'nlp', 'prompt-engineering', 'pytorch', 'reinforcement-learning', 'robo-advisor', 'sentiment-analysis', 'technical-analysis'] | ['chatgpt', 'finance', 'fingpt', 'fintech', 'language-model', 'large-language-models', 'llm', 'machine-learning', 'nlp', 'prompt-engineering', 'pytorch', 'reinforcement-learning', 'robo-advisor', 'sentiment-analysis', 'technical-analysis'] | 2023-12-26 | [('chancefocus/pixiu', 0.7477177381515503, 'finance', 8), ('ai4finance-foundation/finrl', 0.6304659247398376, 'finance', 3), ('argilla-io/argilla', 0.5461266040802002, 'nlp', 3), ('doccano/doccano', 0.5407078862190247, 'nlp', 1), ('lianjiatech/belle', 0.5230826735496521, 'llm', 0), ('mindsdb/mindsdb', 0.522698998451232... | 27 | 8 | null | 10.44 | 51 | 27 | 11 | 1 | 0 | 0 | 0 | 51 | 55 | 90 | 1.1 | 68 |
200 | ml | https://github.com/huggingface/accelerate | [] | null | [] | [] | null | null | null | huggingface/accelerate | accelerate | 6,340 | 710 | 95 | Python | https://huggingface.co/docs/accelerate | π A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision | huggingface | 2024-01-14 | 2020-10-30 | 169 | 37.388374 | https://avatars.githubusercontent.com/u/25720743?v=4 | π A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision | [] | [] | 2024-01-12 | [('nvidia/apex', 0.7648141980171204, 'ml-dl', 0), ('pytorch/ignite', 0.6613282561302185, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.6329745650291443, 'perf', 0), ('skorch-dev/skorch', 0.6029394268989563, 'ml-dl', 0), ('pytorch/pytorch', 0.5829792022705078, 'ml-dl', 0), ('laekov/fastmoe', 0.5827643275260925, '... | 209 | 5 | null | 11.67 | 394 | 338 | 39 | 0 | 17 | 13 | 17 | 394 | 1,100 | 90 | 2.8 | 68 |
1,751 | llm | https://github.com/dsdanielpark/bard-api | [] | null | [] | [] | null | null | null | dsdanielpark/bard-api | Bard-API | 5,245 | 661 | 46 | Python | https://pypi.org/project/bardapi/ | The unofficial python package that returns response of Google Bard through cookie value. | dsdanielpark | 2024-01-14 | 2023-05-11 | 37 | 139.07197 | null | The unofficial python package that returns response of Google Bard through cookie value. | ['ai-api', 'api', 'bard', 'bard-api', 'chatbot', 'google', 'google-bard', 'google-bard-api', 'google-bard-python', 'google-maps-api', 'googlebard', 'llm', 'nlp'] | ['ai-api', 'api', 'bard', 'bard-api', 'chatbot', 'google', 'google-bard', 'google-bard-api', 'google-bard-python', 'google-maps-api', 'googlebard', 'llm', 'nlp'] | 2024-01-14 | [('googleapis/google-api-python-client', 0.6036682724952698, 'util', 0), ('psf/requests', 0.5480201244354248, 'web', 0), ('googleapis/python-speech', 0.5438737273216248, 'ml', 0), ('pndurette/gtts', 0.5274245738983154, 'util', 0)] | 26 | 1 | null | 12.79 | 59 | 35 | 8 | 0 | 37 | 58 | 37 | 59 | 168 | 90 | 2.8 | 68 |
689 | ml-dl | https://github.com/deepfakes/faceswap | [] | null | [] | [] | null | null | null | deepfakes/faceswap | faceswap | 48,131 | 12,869 | 1,526 | Python | https://www.faceswap.dev | Deepfakes Software For All | deepfakes | 2024-01-14 | 2017-12-19 | 319 | 150.880878 | null | Deepfakes Software For All | ['deep-face-swap', 'deep-learning', 'deep-neural-networks', 'deepface', 'deepfakes', 'deeplearning', 'face-swap', 'faceswap', 'fakeapp', 'machine-learning', 'myfakeapp', 'neural-nets', 'neural-networks', 'openfaceswap'] | ['deep-face-swap', 'deep-learning', 'deep-neural-networks', 'deepface', 'deepfakes', 'deeplearning', 'face-swap', 'faceswap', 'fakeapp', 'machine-learning', 'myfakeapp', 'neural-nets', 'neural-networks', 'openfaceswap'] | 2024-01-12 | [('iperov/deepfacelab', 0.8627434968948364, 'ml-dl', 12), ('huggingface/exporters', 0.5523707270622253, 'ml', 2), ('huggingface/transformers', 0.5490606427192688, 'nlp', 2), ('huggingface/huggingface_hub', 0.5489972233772278, 'ml', 2), ('explosion/thinc', 0.5478455424308777, 'ml-dl', 2), ('christoschristofidis/awesome-... | 97 | 2 | null | 1.52 | 20 | 19 | 74 | 0 | 2 | 1 | 2 | 20 | 22 | 90 | 1.1 | 67 |
1,054 | llm | https://github.com/moymix/taskmatrix | ['chatgpt'] | Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting. | [] | [] | null | null | null | moymix/taskmatrix | TaskMatrix | 34,397 | 3,381 | 310 | Python | null | null | moymix | 2024-01-14 | 2023-03-02 | 47 | 720.89521 | null | Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting. | [] | ['chatgpt'] | 2023-06-29 | [('next-gpt/next-gpt', 0.5018583536148071, 'llm', 1)] | 20 | 5 | null | 1.73 | 21 | 6 | 11 | 7 | 0 | 0 | 0 | 21 | 23 | 90 | 1.1 | 67 |
76 | nlp | https://github.com/pytorch/fairseq | [] | null | [] | [] | null | null | null | pytorch/fairseq | fairseq | 28,464 | 6,285 | 417 | Python | null | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | pytorch | 2024-01-14 | 2017-08-29 | 335 | 84.967164 | https://avatars.githubusercontent.com/u/16943930?v=4 | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | ['artificial-intelligence', 'pytorch'] | ['artificial-intelligence', 'pytorch'] | 2024-01-08 | [('facebookresearch/mmf', 0.6375062465667725, 'ml-dl', 1), ('deepmind/deepmind-research', 0.5041647553443909, 'ml', 0)] | 421 | 4 | null | 0.77 | 134 | 40 | 78 | 0 | 0 | 3 | 3 | 134 | 116 | 90 | 0.9 | 67 |
8 | perf | https://github.com/celery/celery | [] | null | [] | [] | null | null | null | celery/celery | celery | 22,871 | 4,604 | 473 | Python | https://docs.celeryq.dev | Distributed Task Queue (development branch) | celery | 2024-01-13 | 2009-04-24 | 770 | 29.680571 | https://avatars.githubusercontent.com/u/319983?v=4 | Distributed Task Queue (development branch) | ['amqp', 'queue-tasks', 'queue-workers', 'queued-jobs', 'redis', 'redis-queue', 'sqs', 'sqs-queue', 'task-manager', 'task-runner', 'task-scheduler'] | ['amqp', 'queue-tasks', 'queue-workers', 'queued-jobs', 'redis', 'redis-queue', 'sqs', 'sqs-queue', 'task-manager', 'task-runner', 'task-scheduler'] | 2024-01-11 | [('mher/flower', 0.6660754680633545, 'perf', 1), ('samuelcolvin/arq', 0.5360067486763, 'data', 1)] | 1,327 | 6 | null | 6.65 | 278 | 167 | 179 | 0 | 8 | 16 | 8 | 280 | 513 | 90 | 1.8 | 67 |
1,121 | llm | https://github.com/rasahq/rasa | [] | null | [] | ['rasa'] | null | null | null | rasahq/rasa | rasa | 17,448 | 4,498 | 350 | Python | https://rasa.com/docs/rasa/ | π¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants | rasahq | 2024-01-14 | 2016-10-14 | 380 | 45.846847 | https://avatars.githubusercontent.com/u/21214473?v=4 | π¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants | ['bot', 'bot-framework', 'botkit', 'bots', 'chatbot', 'chatbots', 'chatbots-framework', 'conversation-driven-development', 'conversational-agents', 'conversational-ai', 'conversational-bots', 'machine-learning', 'machine-learning-library', 'mitie', 'natural-language-processing', 'nlp', 'nlu', 'rasa', 'spacy', 'wit'] | ['bot', 'bot-framework', 'botkit', 'bots', 'chatbot', 'chatbots', 'chatbots-framework', 'conversation-driven-development', 'conversational-agents', 'conversational-ai', 'conversational-bots', 'machine-learning', 'machine-learning-library', 'mitie', 'natural-language-processing', 'nlp', 'nlu', 'rasa', 'spacy', 'wit'] | 2023-11-29 | [('deeppavlov/deeppavlov', 0.7903884053230286, 'nlp', 4), ('nvidia/nemo', 0.7352750301361084, 'nlp', 1), ('krohling/bondai', 0.7222825288772583, 'llm', 0), ('embedchain/embedchain', 0.7189019322395325, 'llm', 1), ('gunthercox/chatterbot', 0.6935678720474243, 'nlp', 3), ('togethercomputer/openchatkit', 0.693237483501434... | 592 | 5 | null | 29.4 | 138 | 109 | 88 | 2 | 70 | 93 | 70 | 138 | 103 | 90 | 0.7 | 67 |
1,780 | web | https://github.com/wagtail/wagtail | [] | null | [] | [] | null | null | null | wagtail/wagtail | wagtail | 16,554 | 3,542 | 341 | Python | https://wagtail.org | A Django content management system focused on flexibility and user experience | wagtail | 2024-01-14 | 2014-02-03 | 521 | 31.764803 | https://avatars.githubusercontent.com/u/23708009?v=4 | A Django content management system focused on flexibility and user experience | ['cms', 'django', 'wagtail'] | ['cms', 'django', 'wagtail'] | 2024-01-11 | [('feincms/feincms', 0.7559544444084167, 'web', 1), ('stephenmcd/mezzanine', 0.7118169665336609, 'web', 2), ('django/django', 0.5955774188041687, 'web', 1), ('brettkromkamp/contextualise', 0.5667254328727722, 'data', 0), ('pallets/flask', 0.5286979675292969, 'web', 0), ('fastapi-admin/fastapi-admin', 0.5146538019180298... | 880 | 3 | null | 40.79 | 622 | 368 | 121 | 4 | 30 | 24 | 30 | 623 | 1,539 | 90 | 2.5 | 67 |
1,510 | llm | https://github.com/facebookresearch/codellama | ['llama', 'language-model'] | null | [] | [] | null | null | null | facebookresearch/codellama | codellama | 11,969 | 1,192 | 125 | Python | null | Inference code for CodeLlama models | facebookresearch | 2024-01-14 | 2023-08-24 | 22 | 526.937107 | https://avatars.githubusercontent.com/u/16943930?v=4 | Inference code for CodeLlama models | [] | ['language-model', 'llama'] | 2023-09-26 | [('facebookresearch/llama', 0.8860641121864319, 'llm', 2), ('karpathy/llama2.c', 0.7492680549621582, 'llm', 2), ('facebookresearch/llama-recipes', 0.6740383505821228, 'llm', 2), ('microsoft/llama-2-onnx', 0.6238771080970764, 'llm', 2), ('tairov/llama2.mojo', 0.599827229976654, 'llm', 1), ('jzhang38/tinyllama', 0.582874... | 11 | 6 | null | 0.27 | 58 | 19 | 5 | 4 | 0 | 0 | 0 | 58 | 69 | 90 | 1.2 | 67 |
72 | testing | https://github.com/pytest-dev/pytest | [] | null | [] | [] | null | null | null | pytest-dev/pytest | pytest | 10,981 | 2,471 | 192 | Python | https://pytest.org | The pytest framework makes it easy to write small tests, yet scales to support complex functional testing | pytest-dev | 2024-01-13 | 2015-06-15 | 450 | 24.394478 | https://avatars.githubusercontent.com/u/8897583?v=4 | The pytest framework makes it easy to write small tests, yet scales to support complex functional testing | ['test', 'testing', 'unit-testing'] | ['test', 'testing', 'unit-testing'] | 2024-01-14 | [('ionelmc/pytest-benchmark', 0.6786613464355469, 'testing', 0), ('samuelcolvin/dirty-equals', 0.6580618023872375, 'util', 1), ('pytest-dev/pytest-xdist', 0.6530086994171143, 'testing', 0), ('pytest-dev/pytest-mock', 0.6347528100013733, 'testing', 0), ('samuelcolvin/pytest-pretty', 0.5827073454856873, 'testing', 0), ('... | 934 | 5 | null | 13.98 | 384 | 265 | 104 | 0 | 10 | 23 | 10 | 384 | 745 | 90 | 1.9 | 67 |
1,654 | util | https://github.com/pyo3/pyo3 | ['rust'] | null | [] | [] | null | null | null | pyo3/pyo3 | pyo3 | 10,178 | 669 | 84 | Rust | https://pyo3.rs | Rust bindings for the Python interpreter | pyo3 | 2024-01-14 | 2017-05-13 | 350 | 29.044435 | https://avatars.githubusercontent.com/u/28156855?v=4 | Rust bindings for the Python interpreter | ['binding', 'ffi', 'python-c-api', 'rust'] | ['binding', 'ffi', 'python-c-api', 'rust'] | 2024-01-13 | [('pyo3/rust-numpy', 0.6885672211647034, 'util', 1), ('pyo3/maturin', 0.6540318131446838, 'util', 1), ('rustpython/rustpython', 0.6475306749343872, 'util', 1), ('delta-io/delta-rs', 0.5582752227783203, 'pandas', 1), ('pybind/pybind11', 0.5454217791557312, 'perf', 0), ('samuelcolvin/rtoml', 0.5289204716682434, 'data', 1... | 301 | 5 | null | 10.88 | 229 | 174 | 81 | 0 | 10 | 12 | 10 | 228 | 662 | 90 | 2.9 | 67 |
534 | nlp | https://github.com/nvidia/nemo | [] | null | [] | [] | null | null | null | nvidia/nemo | NeMo | 8,946 | 1,977 | 180 | Python | https://nvidia.github.io/NeMo/ | NeMo: a toolkit for conversational AI | nvidia | 2024-01-14 | 2019-08-05 | 234 | 38.207444 | https://avatars.githubusercontent.com/u/1728152?v=4 | NeMo: a toolkit for conversational AI | ['asr', 'deep-learning', 'language-model', 'machine-translation', 'neural-network', 'nlp', 'nlp-machine-learning', 'nmt', 'speaker-diarization', 'speaker-recognition', 'speech-recognition', 'speech-synthesis', 'speech-to-text', 'text-normalization', 'text-to-speech', 'tts'] | ['asr', 'deep-learning', 'language-model', 'machine-translation', 'neural-network', 'nlp', 'nlp-machine-learning', 'nmt', 'speaker-diarization', 'speaker-recognition', 'speech-recognition', 'speech-synthesis', 'speech-to-text', 'text-normalization', 'text-to-speech', 'tts'] | 2024-01-13 | [('deeppavlov/deeppavlov', 0.7471092939376831, 'nlp', 3), ('rasahq/rasa', 0.7352750301361084, 'llm', 1), ('krohling/bondai', 0.7121801972389221, 'llm', 0), ('facebookresearch/parlai', 0.6826277375221252, 'nlp', 0), ('thilinarajapakse/simpletransformers', 0.6740487813949585, 'nlp', 0), ('openlmlab/moss', 0.6406056284904... | 270 | 2 | null | 18.33 | 527 | 432 | 54 | 0 | 10 | 11 | 10 | 526 | 1,411 | 90 | 2.7 | 67 |
1,162 | web | https://github.com/flet-dev/flet | [] | null | [] | [] | null | null | null | flet-dev/flet | flet | 7,928 | 303 | 110 | Python | https://flet.dev | Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required. | flet-dev | 2024-01-14 | 2022-03-24 | 96 | 81.973412 | https://avatars.githubusercontent.com/u/102273996?v=4 | Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required. | ['android', 'flutter', 'ios', 'server-driven-ui', 'web'] | ['android', 'flutter', 'ios', 'server-driven-ui', 'web'] | 2024-01-12 | [('pallets/flask', 0.6681143045425415, 'web', 0), ('willmcgugan/textual', 0.6341605186462402, 'term', 0), ('reflex-dev/reflex', 0.612991988658905, 'web', 0), ('kivy/kivy', 0.6066066026687622, 'util', 2), ('python-restx/flask-restx', 0.6032120585441589, 'web', 0), ('r0x0r/pywebview', 0.5987342000007629, 'gui', 0), ('kle... | 47 | 3 | null | 4.54 | 399 | 254 | 22 | 0 | 34 | 60 | 34 | 400 | 677 | 90 | 1.7 | 67 |
1,290 | llm | https://github.com/optimalscale/lmflow | ['instruction-following', 'language-model'] | null | [] | [] | null | null | null | optimalscale/lmflow | LMFlow | 7,551 | 1,077 | 72 | Python | https://optimalscale.github.io/LMFlow/ | An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All. | optimalscale | 2024-01-13 | 2023-03-27 | 44 | 171.058252 | https://avatars.githubusercontent.com/u/128913633?v=4 | An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All. | ['chatgpt', 'deep-learning', 'instruction-following', 'language-model', 'pretrained-models', 'pytorch', 'transformer'] | ['chatgpt', 'deep-learning', 'instruction-following', 'language-model', 'pretrained-models', 'pytorch', 'transformer'] | 2023-12-02 | [('juncongmoo/pyllama', 0.6721161007881165, 'llm', 0), ('guardrails-ai/guardrails', 0.6163129210472107, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.6111303567886353, 'llm', 3), ('huggingface/text-generation-inference', 0.6065784692764282, 'llm', 3), ('hpcaitech/energonai', 0.6059041619300842, 'ml', 0), ('next-gpt/next-g... | 38 | 3 | null | 14.75 | 43 | 29 | 10 | 1 | 3 | 6 | 3 | 43 | 48 | 90 | 1.1 | 67 |
1,166 | llm | https://github.com/lvwerra/trl | [] | null | [] | [] | null | null | null | lvwerra/trl | trl | 7,051 | 803 | 67 | Python | http://hf.co/docs/trl | Train transformer language models with reinforcement learning. | lvwerra | 2024-01-14 | 2020-03-27 | 200 | 35.154558 | https://avatars.githubusercontent.com/u/25720743?v=4 | Train transformer language models with reinforcement learning. | [] | [] | 2024-01-12 | [('bigscience-workshop/megatron-deepspeed', 0.6662755608558655, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6662755608558655, 'llm', 0), ('kzl/decision-transformer', 0.5943164229393005, 'ml-rl', 0), ('huggingface/transformers', 0.5739136338233948, 'nlp', 0), ('eleutherai/knowledge-neurons', 0.5679098963737488, 'ml-in... | 133 | 5 | null | 8.81 | 452 | 370 | 46 | 0 | 24 | 6 | 24 | 452 | 1,328 | 90 | 2.9 | 67 |
1,638 | llm | https://github.com/mistralai/mistral-src | [] | null | [] | [] | null | null | null | mistralai/mistral-src | mistral-src | 6,753 | 509 | 81 | Jupyter Notebook | https://mistral.ai/ | Reference implementation of Mistral AI 7B v0.1 model. | mistralai | 2024-01-14 | 2023-09-27 | 17 | 378.168 | https://avatars.githubusercontent.com/u/132372032?v=4 | Reference implementation of Mistral AI 7B v0.1 model. | ['llm', 'llm-inference', 'mistralai'] | ['llm', 'llm-inference', 'mistralai'] | 2023-12-13 | [] | 13 | 6 | null | 0.62 | 86 | 21 | 4 | 1 | 0 | 0 | 0 | 86 | 70 | 90 | 0.8 | 67 |
1,826 | llm | https://github.com/langchain-ai/opengpts | ['assistant', 'api'] | An open source effort to create a similar experience to OpenAI's GPTs and Assistants API. | [] | [] | null | null | null | langchain-ai/opengpts | opengpts | 5,104 | 584 | 54 | Rich Text Format | null | null | langchain-ai | 2024-01-13 | 2023-11-04 | 12 | 410.666667 | https://avatars.githubusercontent.com/u/126733545?v=4 | An open source effort to create a similar experience to OpenAI's GPTs and Assistants API. | [] | ['api', 'assistant'] | 2024-01-02 | [('openai/openai-cookbook', 0.7003576159477234, 'ml', 0), ('openai/openai-python', 0.6509252190589905, 'util', 0), ('shishirpatil/gorilla', 0.6241956353187561, 'llm', 1), ('xtekky/gpt4free', 0.5756799578666687, 'llm', 0), ('fastai/ghapi', 0.5734665393829346, 'util', 0), ('minimaxir/gpt-2-simple', 0.5654781460762024, 'l... | 5 | 2 | null | 1.77 | 127 | 71 | 2 | 0 | 0 | 0 | 0 | 127 | 178 | 90 | 1.4 | 67 |
1,396 | llm | https://github.com/lightning-ai/lit-gpt | ['fine-tuning', 'quantization', 'nanogpt'] | null | [] | [] | 1 | null | null | lightning-ai/lit-gpt | lit-gpt | 4,759 | 485 | 60 | Python | null | Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. | lightning-ai | 2024-01-13 | 2023-05-04 | 38 | 122.926199 | https://avatars.githubusercontent.com/u/58386951?v=4 | Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. | [] | ['fine-tuning', 'nanogpt', 'quantization'] | 2024-01-12 | [('lightning-ai/lit-llama', 0.721184253692627, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.6060934066772461, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5745608806610107, 'perf', 0), ('vllm-project/vllm', 0.5720106959342957, 'llm', 0), ('microsoft/llmlingua', 0.5566024780273438, 'llm', 0), ('run-llama/llam... | 54 | 6 | null | 12.56 | 338 | 238 | 8 | 0 | 0 | 0 | 0 | 337 | 441 | 90 | 1.3 | 67 |
1,337 | nlp | https://github.com/prefecthq/marvin | [] | null | [] | [] | null | null | null | prefecthq/marvin | marvin | 4,193 | 412 | 36 | Python | https://askmarvin.ai | β¨ Build AI interfaces that spark joy | prefecthq | 2024-01-14 | 2023-03-10 | 46 | 90.033742 | https://avatars.githubusercontent.com/u/39270919?v=4 | β¨ Build AI interfaces that spark joy | ['agents', 'ai', 'ai-functions', 'ambient-ai', 'chatbots', 'gpt', 'llm', 'nli', 'openai'] | ['agents', 'ai', 'ai-functions', 'ambient-ai', 'chatbots', 'gpt', 'llm', 'nli', 'openai'] | 2024-01-13 | [('antonosika/gpt-engineer', 0.7385191917419434, 'llm', 2), ('cheshire-cat-ai/core', 0.7232251167297363, 'llm', 2), ('mindsdb/mindsdb', 0.7208438515663147, 'data', 3), ('embedchain/embedchain', 0.6899540424346924, 'llm', 3), ('lastmile-ai/aiconfig', 0.6677407622337341, 'util', 2), ('krohling/bondai', 0.6641014814376831... | 29 | 5 | null | 33.62 | 136 | 89 | 10 | 0 | 43 | 52 | 43 | 136 | 92 | 90 | 0.7 | 67 |
1,231 | llm | https://github.com/karpathy/nanogpt | ['nanogpt'] | null | [] | [] | null | null | null | karpathy/nanogpt | nanoGPT | 28,200 | 4,040 | 320 | Python | null | The simplest, fastest repository for training/finetuning medium-sized GPTs. | karpathy | 2024-01-14 | 2022-12-28 | 56 | 495.979899 | null | The simplest, fastest repository for training/finetuning medium-sized GPTs. | [] | ['nanogpt'] | 2023-06-22 | [('karpathy/mingpt', 0.5497898459434509, 'llm', 0), ('vision-cair/minigpt-4', 0.5487928986549377, 'llm', 0), ('farizrahman4u/loopgpt', 0.5409718155860901, 'llm', 0), ('openai/gpt-2-output-dataset', 0.5051628351211548, 'llm', 0), ('eleutherai/gpt-neo', 0.5039609670639038, 'llm', 0)] | 31 | 3 | null | 1.44 | 53 | 14 | 13 | 7 | 0 | 0 | 0 | 52 | 43 | 90 | 0.8 | 66 |
408 | perf | https://github.com/google/flatbuffers | [] | null | [] | [] | null | null | null | google/flatbuffers | flatbuffers | 21,620 | 3,213 | 641 | C++ | https://flatbuffers.dev/ | FlatBuffers: Memory Efficient Serialization Library | google | 2024-01-14 | 2014-05-19 | 506 | 42.715213 | https://avatars.githubusercontent.com/u/1342004?v=4 | FlatBuffers: Memory Efficient Serialization Library | ['c', 'c-plus-plus', 'c-sharp', 'cross-platform', 'flatbuffers', 'go', 'grpc', 'java', 'javascript', 'json-parser', 'marshalling', 'mmap', 'protobuf', 'rpc', 'rust', 'serialization', 'serialization-library', 'typescript', 'zero-copy'] | ['c', 'c-plus-plus', 'c-sharp', 'cross-platform', 'flatbuffers', 'go', 'grpc', 'java', 'javascript', 'json-parser', 'marshalling', 'mmap', 'protobuf', 'rpc', 'rust', 'serialization', 'serialization-library', 'typescript', 'zero-copy'] | 2023-12-19 | [('yukinarit/pyserde', 0.6145598292350769, 'util', 1), ('pylons/colander', 0.5039762258529663, 'util', 1)] | 670 | 5 | null | 3.85 | 184 | 102 | 118 | 1 | 6 | 4 | 6 | 184 | 252 | 90 | 1.4 | 66 |
188 | ml-interpretability | https://github.com/slundberg/shap | [] | null | [] | [] | null | null | null | slundberg/shap | shap | 20,940 | 3,099 | 252 | Jupyter Notebook | https://shap.readthedocs.io | A game theoretic approach to explain the output of any machine learning model. | slundberg | 2024-01-14 | 2016-11-22 | 375 | 55.84 | https://avatars.githubusercontent.com/u/60805229?v=4 | A game theoretic approach to explain the output of any machine learning model. | ['deep-learning', 'explainability', 'gradient-boosting', 'interpretability', 'machine-learning', 'shap', 'shapley'] | ['deep-learning', 'explainability', 'gradient-boosting', 'interpretability', 'machine-learning', 'shap', 'shapley'] | 2024-01-09 | [('maif/shapash', 0.67304927110672, 'ml', 4), ('seldonio/alibi', 0.6683449745178223, 'ml-interpretability', 2), ('marcotcr/lime', 0.6387524604797363, 'ml-interpretability', 0), ('interpretml/interpret', 0.5977214574813843, 'ml-interpretability', 4), ('linkedin/fasttreeshap', 0.5951489806175232, 'ml', 3), ('xplainable/x... | 229 | 4 | null | 5.5 | 691 | 90 | 87 | 0 | 4 | 7 | 4 | 690 | 688 | 90 | 1 | 66 |
1,053 | ml | https://github.com/microsoft/lightgbm | [] | null | [] | [] | null | null | null | microsoft/lightgbm | LightGBM | 15,787 | 3,793 | 437 | C++ | https://lightgbm.readthedocs.io/en/latest/ | A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | microsoft | 2024-01-14 | 2016-08-05 | 390 | 40.420263 | https://avatars.githubusercontent.com/u/6154722?v=4 | A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | ['data-mining', 'decision-trees', 'distributed', 'gbdt', 'gbm', 'gbrt', 'gradient-boosting', 'kaggle', 'lightgbm', 'machine-learning', 'microsoft', 'parallel', 'r'] | ['data-mining', 'decision-trees', 'distributed', 'gbdt', 'gbm', 'gbrt', 'gradient-boosting', 'kaggle', 'lightgbm', 'machine-learning', 'microsoft', 'parallel', 'r'] | 2024-01-12 | [('dmlc/xgboost', 0.8464224338531494, 'ml', 4), ('catboost/catboost', 0.8396483659744263, 'ml', 8)] | 295 | 5 | null | 4.75 | 338 | 259 | 91 | 0 | 3 | 5 | 3 | 339 | 598 | 90 | 1.8 | 66 |
1,440 | llm | https://github.com/karpathy/llama2.c | ['llama', 'language-model'] | null | [] | [] | null | null | null | karpathy/llama2.c | llama2.c | 13,860 | 1,471 | 159 | C | null | Inference Llama 2 in one file of pure C | karpathy | 2024-01-14 | 2023-07-23 | 27 | 507.958115 | null | Inference Llama 2 in one file of pure C | [] | ['language-model', 'llama'] | 2023-10-09 | [('facebookresearch/llama', 0.8788975477218628, 'llm', 2), ('tairov/llama2.mojo', 0.8035979270935059, 'llm', 1), ('facebookresearch/codellama', 0.7492680549621582, 'llm', 2), ('facebookresearch/llama-recipes', 0.7288556098937988, 'llm', 2), ('microsoft/llama-2-onnx', 0.6777373552322388, 'llm', 2), ('abetlen/llama-cpp-p... | 81 | 1 | null | 6.5 | 74 | 11 | 6 | 3 | 0 | 0 | 0 | 74 | 51 | 90 | 0.7 | 66 |
123 | ml-ops | https://github.com/iterative/dvc | [] | null | [] | [] | null | null | null | iterative/dvc | dvc | 12,755 | 1,141 | 137 | Python | https://dvc.org | π¦ ML Experiments Management with Git | iterative | 2024-01-13 | 2017-03-04 | 360 | 35.388426 | https://avatars.githubusercontent.com/u/39572954?v=4 | π¦ ML Experiments Management with Git | ['ai', 'collaboration', 'data-science', 'data-version-control', 'developer-tools', 'git', 'machine-learning', 'reproducibility'] | ['ai', 'collaboration', 'data-science', 'data-version-control', 'developer-tools', 'git', 'machine-learning', 'reproducibility'] | 2024-01-12 | [('netflix/metaflow', 0.6912345886230469, 'ml-ops', 3), ('allegroai/clearml', 0.618588924407959, 'ml-ops', 2), ('wandb/client', 0.6113179922103882, 'ml', 4), ('aimhubio/aim', 0.5769718885421753, 'ml-ops', 3), ('pythagora-io/gpt-pilot', 0.5759281516075134, 'llm', 2), ('sweepai/sweep', 0.5702275633811951, 'llm', 2), ('po... | 290 | 2 | null | 15.94 | 347 | 271 | 84 | 0 | 101 | 76 | 101 | 347 | 751 | 90 | 2.2 | 66 |
514 | typing | https://github.com/microsoft/pyright | ['typechecker', 'code-quality'] | null | [] | [] | null | null | null | microsoft/pyright | pyright | 11,459 | 1,267 | 113 | Python | null | Static Type Checker for Python | microsoft | 2024-01-14 | 2019-03-12 | 255 | 44.937255 | https://avatars.githubusercontent.com/u/6154722?v=4 | Static Type Checker for Python | [] | ['code-quality', 'typechecker'] | 2024-01-14 | [('agronholm/typeguard', 0.9137517213821411, 'typing', 2), ('python/mypy', 0.8244960904121399, 'typing', 2), ('google/pytype', 0.8127192258834839, 'typing', 2), ('facebook/pyre-check', 0.7650810480117798, 'typing', 2), ('instagram/monkeytype', 0.7293500900268555, 'typing', 1), ('python/typeshed', 0.6651108264923096, 't... | 103 | 1 | null | 26.13 | 789 | 758 | 59 | 0 | 57 | 88 | 57 | 787 | 1,674 | 90 | 2.1 | 66 |
225 | util | https://github.com/pyodide/pyodide | ['cpython', 'wasm', 'emscripten', 'webassembly'] | null | [] | [] | null | null | null | pyodide/pyodide | pyodide | 10,896 | 738 | 129 | Python | https://pyodide.org/en/stable/ | Pyodide is a Python distribution for the browser and Node.js based on WebAssembly | pyodide | 2024-01-14 | 2018-02-23 | 309 | 35.197047 | https://avatars.githubusercontent.com/u/77002075?v=4 | Pyodide is a Python distribution for the browser and Node.js based on WebAssembly | ['webassembly'] | ['cpython', 'emscripten', 'wasm', 'webassembly'] | 2024-01-13 | [('pyodide/micropip', 0.7593028545379639, 'util', 1), ('webpy/webpy', 0.6373624205589294, 'web', 0), ('bottlepy/bottle', 0.6117225289344788, 'web', 0), ('cherrypy/cherrypy', 0.5807443857192993, 'web', 0), ('libtcod/python-tcod', 0.5775824785232544, 'gamedev', 0), ('pypy/pypy', 0.5725159645080566, 'util', 1), ('jupyterl... | 207 | 5 | null | 9.38 | 180 | 113 | 72 | 0 | 12 | 13 | 12 | 180 | 385 | 90 | 2.1 | 66 |
29 | ml-ops | https://github.com/great-expectations/great_expectations | [] | null | [] | [] | null | null | null | great-expectations/great_expectations | great_expectations | 9,157 | 1,443 | 82 | Python | https://docs.greatexpectations.io/ | Always know what to expect from your data. | great-expectations | 2024-01-13 | 2017-09-11 | 333 | 27.486707 | https://avatars.githubusercontent.com/u/31670619?v=4 | Always know what to expect from your data. | ['cleandata', 'data-engineering', 'data-profilers', 'data-profiling', 'data-quality', 'data-science', 'data-unit-tests', 'datacleaner', 'datacleaning', 'dataquality', 'dataunittest', 'eda', 'exploratory-analysis', 'exploratory-data-analysis', 'exploratorydataanalysis', 'mlops', 'pipeline', 'pipeline-debt', 'pipeline-te... | ['cleandata', 'data-engineering', 'data-profilers', 'data-profiling', 'data-quality', 'data-science', 'data-unit-tests', 'datacleaner', 'datacleaning', 'dataquality', 'dataunittest', 'eda', 'exploratory-analysis', 'exploratory-data-analysis', 'exploratorydataanalysis', 'mlops', 'pipeline', 'pipeline-debt', 'pipeline-te... | 2024-01-12 | [('ydataai/ydata-profiling', 0.606023907661438, 'pandas', 5), ('hi-primus/optimus', 0.6027732491493225, 'ml-ops', 2), ('mage-ai/mage-ai', 0.5621156692504883, 'ml-ops', 3), ('ploomber/ploomber', 0.5521277785301208, 'ml-ops', 3), ('datafold/data-diff', 0.5429127216339111, 'data', 4), ('polyaxon/datatile', 0.5381271839141... | 423 | 3 | null | 45.29 | 909 | 826 | 77 | 0 | 55 | 44 | 55 | 907 | 922 | 90 | 1 | 66 |
117 | ml-ops | https://github.com/kedro-org/kedro | [] | null | [] | [] | null | From: https://github.com/quantumblacklabs/kedro | null | kedro-org/kedro | kedro | 9,091 | 860 | 107 | Python | https://kedro.org | Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular. | kedro-org | 2024-01-14 | 2019-04-18 | 249 | 36.405606 | https://avatars.githubusercontent.com/u/93382166?v=4 | Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular. | ['experiment-tracking', 'kedro', 'machine-learning', 'machine-learning-engineering', 'mlops', 'pipeline'] | ['experiment-tracking', 'kedro', 'machine-learning', 'machine-learning-engineering', 'mlops', 'pipeline'] | 2024-01-12 | [('kedro-org/kedro-viz', 0.7322895526885986, 'ml-ops', 2), ('getindata/kedro-kubeflow', 0.660918653011322, 'ml-ops', 2), ('meltano/meltano', 0.5286129117012024, 'ml-ops', 0), ('kubeflow-kale/kale', 0.5225927233695984, 'ml-ops', 1), ('ploomber/ploomber', 0.5186499357223511, 'ml-ops', 2), ('mage-ai/mage-ai', 0.5148924589... | 218 | 4 | null | 9.52 | 583 | 417 | 58 | 0 | 12 | 10 | 12 | 583 | 1,135 | 90 | 1.9 | 66 |
1,368 | llm | https://github.com/shishirpatil/gorilla | [] | null | [] | [] | null | null | null | shishirpatil/gorilla | gorilla | 8,848 | 682 | 97 | Python | https://gorilla.cs.berkeley.edu/ | Gorilla: An API store for LLMs | shishirpatil | 2024-01-14 | 2023-05-19 | 36 | 241.9375 | null | Gorilla: An API store for LLMs | ['api', 'api-documentation', 'chatgpt', 'claude-api', 'gpt-4-api', 'llm', 'openai-api', 'openai-functions'] | ['api', 'api-documentation', 'chatgpt', 'claude-api', 'gpt-4-api', 'llm', 'openai-api', 'openai-functions'] | 2023-11-20 | [('berriai/litellm', 0.7173708081245422, 'llm', 1), ('openai/openai-cookbook', 0.6725669503211975, 'ml', 1), ('opengenerativeai/genossgpt', 0.6697072982788086, 'llm', 2), ('mmabrouk/chatgpt-wrapper', 0.6682367324829102, 'llm', 2), ('zilliztech/gptcache', 0.6505623459815979, 'llm', 2), ('run-llama/rags', 0.6374510526657... | 15 | 6 | null | 0.75 | 27 | 13 | 8 | 2 | 1 | 2 | 1 | 27 | 39 | 90 | 1.4 | 66 |
533 | nlp | https://github.com/espnet/espnet | [] | null | [] | [] | null | null | null | espnet/espnet | espnet | 7,522 | 2,046 | 179 | Python | https://espnet.github.io/espnet/ | End-to-End Speech Processing Toolkit | espnet | 2024-01-14 | 2017-12-13 | 319 | 23.516749 | https://avatars.githubusercontent.com/u/34493687?v=4 | End-to-End Speech Processing Toolkit | ['chainer', 'deep-learning', 'end-to-end', 'kaldi', 'machine-translation', 'pytorch', 'singing-voice-synthesis', 'speaker-diarization', 'speech-enhancement', 'speech-recognition', 'speech-separation', 'speech-synthesis', 'speech-translation', 'spoken-language-understanding', 'voice-conversion'] | ['chainer', 'deep-learning', 'end-to-end', 'kaldi', 'machine-translation', 'pytorch', 'singing-voice-synthesis', 'speaker-diarization', 'speech-enhancement', 'speech-recognition', 'speech-separation', 'speech-synthesis', 'speech-translation', 'spoken-language-understanding', 'voice-conversion'] | 2024-01-10 | [('speechbrain/speechbrain', 0.822684109210968, 'nlp', 7), ('nvidia/nemo', 0.63554447889328, 'nlp', 5), ('nateshmbhat/pyttsx3', 0.6220706105232239, 'util', 0), ('uberi/speech_recognition', 0.6095865964889526, 'ml', 1), ('huggingface/transformers', 0.5976542234420776, 'nlp', 3), ('m-bain/whisperx', 0.5822861194610596, '... | 398 | 5 | null | 69.46 | 207 | 108 | 74 | 0 | 4 | 8 | 4 | 207 | 532 | 90 | 2.6 | 66 |
871 | time-series | https://github.com/sktime/sktime | [] | null | [] | [] | 1 | null | null | sktime/sktime | sktime | 7,149 | 1,191 | 102 | Python | https://www.sktime.net | A unified framework for machine learning with time series | sktime | 2024-01-14 | 2018-11-06 | 273 | 26.186813 | https://avatars.githubusercontent.com/u/56396127?v=4 | A unified framework for machine learning with time series | ['data-mining', 'data-science', 'forecasting', 'machine-learning', 'scikit-learn', 'time-series', 'time-series-analysis', 'time-series-classification', 'time-series-regression'] | ['data-mining', 'data-science', 'forecasting', 'machine-learning', 'scikit-learn', 'time-series', 'time-series-analysis', 'time-series-classification', 'time-series-regression'] | 2024-01-13 | [('salesforce/merlion', 0.7518776059150696, 'time-series', 3), ('winedarksea/autots', 0.7021391987800598, 'time-series', 3), ('scikit-learn/scikit-learn', 0.6196394562721252, 'ml', 2), ('blue-yonder/tsfresh', 0.5950053930282593, 'time-series', 2), ('firmai/atspy', 0.5919238924980164, 'time-series', 3), ('alkaline-ml/pm... | 315 | 6 | null | 16.44 | 360 | 240 | 63 | 0 | 22 | 12 | 22 | 360 | 796 | 90 | 2.2 | 66 |
1,643 | llm | https://github.com/plachtaa/vall-e-x | [] | null | [] | [] | null | null | null | plachtaa/vall-e-x | VALL-E-X | 6,692 | 638 | 73 | Python | null | An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io | plachtaa | 2024-01-14 | 2023-07-29 | 26 | 253.210811 | null | An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io | ['emotional-speech', 'gpt', 'text-to-speech', 'transformer-architecture', 'tts', 'vall-e', 'voice-clone'] | ['emotional-speech', 'gpt', 'text-to-speech', 'transformer-architecture', 'tts', 'vall-e', 'voice-clone'] | 2023-11-03 | [('neonbjb/tortoise-tts', 0.6283189058303833, 'ml', 1), ('myshell-ai/openvoice', 0.6065437197685242, 'nlp', 3), ('pndurette/gtts', 0.5036769509315491, 'util', 2)] | 9 | 6 | null | 2.25 | 53 | 12 | 6 | 2 | 0 | 0 | 0 | 53 | 90 | 90 | 1.7 | 66 |
1,856 | llm | https://github.com/pytorch-labs/gpt-fast | ['pytorch', 'transformer'] | null | [] | [] | null | null | null | pytorch-labs/gpt-fast | gpt-fast | 4,442 | 465 | 52 | Python | null | Simple and efficient pytorch-native transformer text generation in <1000 LOC of python. | pytorch-labs | 2024-01-14 | 2023-10-17 | 15 | 296.133333 | https://avatars.githubusercontent.com/u/107212512?v=4 | Simple and efficient pytorch-native transformer text generation in <1000 LOC of python. | [] | ['pytorch', 'transformer'] | 2024-01-06 | [('karpathy/mingpt', 0.5887901782989502, 'llm', 0), ('pytorch/data', 0.5759943723678589, 'data', 0), ('huggingface/text-generation-inference', 0.5448298454284668, 'llm', 2), ('nateshmbhat/pyttsx3', 0.537563145160675, 'util', 0), ('lucidrains/dalle2-pytorch', 0.5372596383094788, 'diffusion', 0), ('minimaxir/gpt-2-simple... | 7 | 4 | null | 0.27 | 83 | 27 | 3 | 0 | 0 | 0 | 0 | 83 | 178 | 90 | 2.1 | 66 |
1,738 | viz | https://github.com/nvidia/tensorrt-llm | ['tensorrt', 'gpu', 'language-model'] | null | [] | [] | null | null | null | nvidia/tensorrt-llm | TensorRT-LLM | 4,276 | 370 | 50 | C++ | https://nvidia.github.io/TensorRT-LLM | TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT en... | nvidia | 2024-01-14 | 2023-08-16 | 23 | 179.233533 | https://avatars.githubusercontent.com/u/1728152?v=4 | TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT en... | [] | ['gpu', 'language-model', 'tensorrt'] | 2024-01-09 | [('sjtu-ipads/powerinfer', 0.6346943974494934, 'llm', 0), ('exaloop/codon', 0.6340402364730835, 'perf', 0), ('pytorch/pytorch', 0.61689293384552, 'ml-dl', 1), ('ggerganov/ggml', 0.6161227822303772, 'ml', 0), ('google/tf-quant-finance', 0.6080841422080994, 'finance', 1), ('bobazooba/xllm', 0.5863513350486755, 'llm', 0),... | 4 | 1 | null | 0.83 | 857 | 578 | 5 | 0 | 3 | 12 | 3 | 858 | 2,931 | 90 | 3.4 | 66 |
788 | web | https://github.com/starlite-api/starlite | [] | null | [] | [] | null | null | null | starlite-api/starlite | litestar | 3,806 | 298 | 33 | Python | https://litestar.dev/ | Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs | starlite-api | 2024-01-14 | 2021-12-06 | 112 | 33.938854 | https://avatars.githubusercontent.com/u/97250344?v=4 | Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs | ['api', 'asgi', 'asyncio', 'litestar', 'litestar-api', 'litestar-framework', 'msgspec', 'openapi', 'pydantic', 'rapidoc', 'redoc', 'rest', 'starlite', 'starlite-api', 'swagger'] | ['api', 'asgi', 'asyncio', 'litestar', 'litestar-api', 'litestar-framework', 'msgspec', 'openapi', 'pydantic', 'rapidoc', 'redoc', 'rest', 'starlite', 'starlite-api', 'swagger'] | 2024-01-14 | [('vitalik/django-ninja', 0.7026381492614746, 'web', 3), ('tiangolo/fastapi', 0.6928763389587402, 'web', 7), ('huge-success/sanic', 0.6891716122627258, 'web', 2), ('falconry/falcon', 0.6774393916130066, 'web', 3), ('neoteroi/blacksheep', 0.6740537881851196, 'web', 2), ('python-restx/flask-restx', 0.6593479514122009, 'w... | 170 | 4 | null | 21.63 | 572 | 455 | 26 | 0 | 47 | 80 | 47 | 572 | 1,394 | 90 | 2.4 | 66 |
1,847 | data | https://github.com/run-llama/llama-hub | ['data-loader', 'llm'] | null | [] | [] | null | null | null | run-llama/llama-hub | llama-hub | 2,978 | 649 | 43 | Jupyter Notebook | https://llamahub.ai/ | A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain | run-llama | 2024-01-14 | 2023-02-01 | 51 | 57.426997 | https://avatars.githubusercontent.com/u/130722866?v=4 | A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain | [] | ['data-loader', 'llm'] | 2024-01-13 | [('jerryjliu/llama_index', 0.6595434546470642, 'llm', 1), ('zilliztech/gptcache', 0.5969860553741455, 'llm', 1), ('eugeneyan/open-llms', 0.586604654788971, 'study', 1), ('run-llama/llama-lab', 0.5685200095176697, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5623946189880371, 'perf', 0), ('alpha-vllm/llama2-a... | 224 | 4 | null | 14.58 | 286 | 240 | 12 | 0 | 0 | 59 | 59 | 285 | 330 | 90 | 1.2 | 66 |
1,188 | diffusion | https://github.com/stability-ai/stablediffusion | ['diffusion', 'image-generation'] | null | [] | [] | null | null | null | stability-ai/stablediffusion | stablediffusion | 33,628 | 4,452 | 417 | Python | null | High-Resolution Image Synthesis with Latent Diffusion Models | stability-ai | 2024-01-14 | 2022-11-23 | 61 | 543.639723 | https://avatars.githubusercontent.com/u/100950301?v=4 | High-Resolution Image Synthesis with Latent Diffusion Models | [] | ['diffusion', 'image-generation'] | 2023-03-25 | [('compvis/latent-diffusion', 1.0000004768371582, 'diffusion', 2), ('albarji/mixture-of-diffusers', 0.690674364566803, 'diffusion', 0), ('compvis/stable-diffusion', 0.6550443768501282, 'diffusion', 2), ('openai/glide-text2im', 0.6436024308204651, 'diffusion', 0), ('huggingface/diffusers', 0.6299402713775635, 'diffusion... | 18 | 4 | null | 0.58 | 34 | 7 | 14 | 10 | 0 | 0 | 0 | 34 | 34 | 90 | 1 | 65 |
756 | ml-dl | https://github.com/xinntao/real-esrgan | [] | null | [] | [] | null | null | null | xinntao/real-esrgan | Real-ESRGAN | 24,620 | 3,149 | 216 | Python | null | Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration. | xinntao | 2024-01-14 | 2021-07-19 | 132 | 186.313514 | null | Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration. | ['amine', 'denoise', 'esrgan', 'image-restoration', 'jpeg-compression', 'pytorch', 'real-esrgan', 'super-resolution'] | ['amine', 'denoise', 'esrgan', 'image-restoration', 'jpeg-compression', 'pytorch', 'real-esrgan', 'super-resolution'] | 2022-09-20 | [('xpixelgroup/basicsr', 0.6734346151351929, 'ml-dl', 3), ('tencentarc/gfpgan', 0.5772732496261597, 'ml', 3)] | 11 | 7 | null | 0 | 66 | 14 | 30 | 16 | 0 | 8 | 8 | 66 | 85 | 90 | 1.3 | 65 |
827 | util | https://github.com/micropython/micropython | [] | null | [] | [] | null | null | null | micropython/micropython | micropython | 17,769 | 7,083 | 735 | C | https://micropython.org | MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems | micropython | 2024-01-14 | 2013-12-20 | 527 | 33.680747 | https://avatars.githubusercontent.com/u/6298560?v=4 | MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems | ['embedded', 'microcontroller', 'micropython'] | ['embedded', 'microcontroller', 'micropython'] | 2024-01-10 | [('adafruit/circuitpython', 0.7091054916381836, 'util', 3), ('pypy/pypy', 0.6625933051109314, 'util', 0), ('pyston/pyston', 0.6496843695640564, 'util', 0), ('plasma-umass/scalene', 0.6017813086509705, 'profiling', 0), ('exaloop/codon', 0.5922623872756958, 'perf', 0), ('cython/cython', 0.5850077271461487, 'util', 0), ('... | 613 | 3 | null | 19.92 | 536 | 284 | 123 | 5 | 4 | 6 | 4 | 537 | 1,681 | 90 | 3.1 | 65 |
30 | web | https://github.com/huge-success/sanic | [] | null | [] | [] | null | null | null | huge-success/sanic | sanic | 17,531 | 1,545 | 408 | Python | https://sanic.dev | Accelerate your web app development | Build fast. Run fast. | huge-success | 2024-01-13 | 2016-05-26 | 400 | 43.749376 | https://avatars.githubusercontent.com/u/25215992?v=4 | Accelerate your web app development | Build fast. Run fast. | ['api-server', 'asgi', 'asyncio', 'framework', 'sanic', 'web', 'web-framework', 'web-server'] | ['api-server', 'asgi', 'asyncio', 'framework', 'sanic', 'web', 'web-framework', 'web-server'] | 2024-01-01 | [('neoteroi/blacksheep', 0.7380421161651611, 'web', 4), ('pallets/quart', 0.7020831108093262, 'web', 2), ('starlite-api/starlite', 0.6891716122627258, 'web', 2), ('encode/uvicorn', 0.633416473865509, 'web', 2), ('tiangolo/fastapi', 0.6080839037895203, 'web', 3), ('alirn76/panther', 0.6031531095504761, 'web', 1), ('enco... | 340 | 6 | null | 2.02 | 93 | 57 | 93 | 0 | 4 | 11 | 4 | 93 | 149 | 90 | 1.6 | 65 |
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