Datasets:

dylanhogg

/

awesome-python

like 0

ml-dl

https://github.com/tensorflow/tensorflow

[]

['1605.08695']

[]

tensorflow/tensorflow

tensorflow

C++

https://tensorflow.org

An Open Source Machine Learning Framework for Everyone

tensorflow

2024-01-14

2015-11-07

https://avatars.githubusercontent.com/u/15658638?v=4

An Open Source Machine Learning Framework for Everyone

['deep-learning', 'deep-neural-networks', 'distributed', 'machine-learning', 'ml', 'neural-network', 'tensorflow']

['deep-learning', 'deep-neural-networks', 'distributed', 'machine-learning', 'ml', 'neural-network', 'tensorflow']

2024-01-14

[('mlflow/mlflow', 0.7961823344230652, 'ml-ops', 2), ('determined-ai/determined', 0.7361361384391785, 'ml-ops', 3), ('keras-team/keras', 0.7145187258720398, 'ml-dl', 3), ('horovod/horovod', 0.7118455767631531, 'ml-ops', 3), ('onnx/onnx', 0.7098345756530762, 'ml', 6), ('microsoft/onnxruntime', 0.681681215763092, 'ml', 3), ('huggingface/datasets', 0.6682099103927612, 'nlp', 3), ('microsoft/nni', 0.6535964608192444, 'ml', 5), ('paddlepaddle/paddle', 0.6499528884887695, 'ml-dl', 3), ('tensorflow/tensor2tensor', 0.6497355103492737, 'ml', 2), ('aiqc/aiqc', 0.6452828049659729, 'ml-ops', 0), ('nevronai/metisfl', 0.6451448798179626, 'ml', 2), ('microsoft/deepspeed', 0.6415050029754639, 'ml-dl', 2), ('merantix-momentum/squirrel-core', 0.6386204957962036, 'ml', 5), ('explosion/thinc', 0.6326338052749634, 'ml-dl', 3), ('ddbourgin/numpy-ml', 0.6283783912658691, 'ml', 1), ('alpa-projects/alpa', 0.6228885650634766, 'ml-dl', 2), ('nyandwi/modernconvnets', 0.6226397752761841, 'ml-dl', 1), ('mosaicml/composer', 0.6187223792076111, 'ml-dl', 3), ('rasbt/machine-learning-book', 0.6161754131317139, 'study', 2), ('pycaret/pycaret', 0.6133705377578735, 'ml', 2), ('tensorlayer/tensorlayer', 0.6108736991882324, 'ml-rl', 3), ('adap/flower', 0.6108560562133789, 'ml-ops', 3), ('polyaxon/polyaxon', 0.6108132600784302, 'ml-ops', 4), ('ggerganov/ggml', 0.6057413816452026, 'ml', 1), ('google/trax', 0.6033942103385925, 'ml-dl', 2), ('huggingface/transformers', 0.6026768684387207, 'nlp', 3), ('firmai/industry-machine-learning', 0.6019365191459656, 'study', 1), ('nvidia/deeplearningexamples', 0.5997220873832703, 'ml-dl', 2), ('ludwig-ai/ludwig', 0.5990430116653442, 'ml-ops', 4), ('rasahq/rasa', 0.5951974391937256, 'llm', 1), ('pytorch/ignite', 0.5939213633537292, 'ml-dl', 3), ('deci-ai/super-gradients', 0.5904759764671326, 'ml-dl', 2), ('gradio-app/gradio', 0.5878574252128601, 'viz', 2), ('keras-rl/keras-rl', 0.5854769349098206, 'ml-rl', 2), ('d2l-ai/d2l-en', 0.5832685828208923, 'study', 3), ('uber/petastorm', 0.5829108953475952, 'data', 3), ('unity-technologies/ml-agents', 0.5806676149368286, 'ml-rl', 2), ('google/tf-quant-finance', 0.5797778367996216, 'finance', 1), ('aws/sagemaker-python-sdk', 0.578117311000824, 'ml', 2), ('google/mediapipe', 0.5778871178627014, 'ml', 2), ('hpcaitech/colossalai', 0.5766342282295227, 'llm', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5763082504272461, 'study', 2), ('koaning/human-learn', 0.5748200416564941, 'data', 1), ('doccano/doccano', 0.5740697383880615, 'nlp', 1), ('googlecloudplatform/vertex-ai-samples', 0.5740510821342468, 'ml', 1), ('christoschristofidis/awesome-deep-learning', 0.5731549263000488, 'study', 3), ('uber/fiber', 0.5713419914245605, 'data', 1), ('lutzroeder/netron', 0.571031391620636, 'ml', 5), ('keras-team/autokeras', 0.5696538090705872, 'ml-dl', 3), ('deepmind/dm-haiku', 0.5688497424125671, 'ml-dl', 3), ('feast-dev/feast', 0.5688017010688782, 'ml-ops', 2), ('xl0/lovely-tensors', 0.5675086975097656, 'ml-dl', 1), ('microsoft/semi-supervised-learning', 0.5672532916069031, 'ml', 2), ('rasbt/deeplearning-models', 0.5665931105613708, 'ml-dl', 0), ('ray-project/ray', 0.5655400156974792, 'ml-ops', 4), ('nccr-itmo/fedot', 0.5654616355895996, 'ml-ops', 1), ('azavea/raster-vision', 0.5648720860481262, 'gis', 2), ('bentoml/bentoml', 0.5644592642784119, 'ml-ops', 2), ('google-research/language', 0.5603903532028198, 'nlp', 1), ('mlc-ai/mlc-llm', 0.5597818493843079, 'llm', 0), ('csinva/imodels', 0.5597484707832336, 'ml', 2), ('kevinmusgrave/pytorch-metric-learning', 0.5597424507141113, 'ml', 2), ('pytorchlightning/pytorch-lightning', 0.5566743612289429, 'ml-dl', 2), ('ageron/handson-ml2', 0.5564263463020325, 'ml', 0), ('deeppavlov/deeppavlov', 0.5553365349769592, 'nlp', 4), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5544643402099609, 'study', 2), ('apache/incubator-mxnet', 0.5543745160102844, 'ml-dl', 0), ('activeloopai/deeplake', 0.5541912913322449, 'ml-ops', 4), ('sktime/sktime', 0.5532556176185608, 'time-series', 1), ('datasystemslab/geotorch', 0.5481935739517212, 'gis', 2), ('intel/intel-extension-for-pytorch', 0.548033595085144, 'perf', 3), ('tensorflow/lucid', 0.5469701290130615, 'ml-interpretability', 2), ('salesforce/warp-drive', 0.5466130971908569, 'ml-rl', 1), ('tensorly/tensorly', 0.5459080934524536, 'ml-dl', 2), ('microsoft/jarvis', 0.5449208617210388, 'llm', 1), ('patchy631/machine-learning', 0.5448095798492432, 'ml', 0), ('aimhubio/aim', 0.5438287258148193, 'ml-ops', 3), ('eventual-inc/daft', 0.5434378385543823, 'pandas', 2), ('featurelabs/featuretools', 0.5424914360046387, 'ml', 1), ('skorch-dev/skorch', 0.5416784286499023, 'ml-dl', 1), ('deepchecks/deepchecks', 0.5415099859237671, 'data', 3), ('oml-team/open-metric-learning', 0.5407246947288513, 'ml', 1), ('dmlc/xgboost', 0.5403357744216919, 'ml', 1), ('project-monai/monai', 0.539412260055542, 'ml', 1), ('neuralmagic/sparseml', 0.5374124050140381, 'ml-dl', 1), ('keras-team/keras-nlp', 0.5365269780158997, 'nlp', 3), ('lightly-ai/lightly', 0.5355916023254395, 'ml', 2), ('online-ml/river', 0.5353706479072571, 'ml', 1), ('tensorflow/data-validation', 0.5338260531425476, 'ml-ops', 0), ('neuralmagic/deepsparse', 0.5337933301925659, 'nlp', 0), ('jina-ai/jina', 0.5316888093948364, 'ml', 2), ('rafiqhasan/auto-tensorflow', 0.5291599035263062, 'ml-dl', 2), ('roboflow/supervision', 0.527900218963623, 'ml', 3), ('kubeflow/pipelines', 0.5275462865829468, 'ml-ops', 1), ('fepegar/torchio', 0.5249353647232056, 'ml-dl', 2), ('danielegrattarola/spektral', 0.5244050025939941, 'ml-dl', 2), ('polyaxon/datatile', 0.524250328540802, 'pandas', 1), ('mrdbourke/pytorch-deep-learning', 0.5236486196517944, 'study', 2), ('tlkh/tf-metal-experiments', 0.5225579142570496, 'perf', 2), ('eleutherai/oslo', 0.5216479301452637, 'ml', 0), ('rwightman/pytorch-image-models', 0.5212838053703308, 'ml-dl', 0), ('aistream-peelout/flow-forecast', 0.5199403166770935, 'time-series', 2), ('pyg-team/pytorch_geometric', 0.5166094899177551, 'ml-dl', 1), ('tensorflow/addons', 0.5162330865859985, 'ml', 4), ('arogozhnikov/einops', 0.515922486782074, 'ml-dl', 2), ('qdrant/qdrant', 0.5152298808097839, 'data', 2), ('interpretml/interpret', 0.5142463445663452, 'ml-interpretability', 1), ('bigscience-workshop/petals', 0.5141298770904541, 'data', 2), ('stellargraph/stellargraph', 0.5133888125419617, 'graph', 2), ('open-mmlab/mmediting', 0.5129084587097168, 'ml', 1), ('automl/auto-sklearn', 0.5126420259475708, 'ml', 0), ('ashleve/lightning-hydra-template', 0.5114924311637878, 'util', 1), ('towhee-io/towhee', 0.5106989145278931, 'ml-ops', 1), ('wandb/client', 0.5102543830871582, 'ml', 3), ('deepmind/dm_control', 0.5096217393875122, 'ml-rl', 2), ('tensorflow/similarity', 0.5089390277862549, 'ml-dl', 3), ('catboost/catboost', 0.5088467597961426, 'ml', 1), ('pytorch/rl', 0.508491039276123, 'ml-rl', 1), ('amanchadha/coursera-deep-learning-specialization', 0.5084401369094849, 'study', 2), ('dylanhogg/awesome-python', 0.5077972412109375, 'study', 2), ('mrdbourke/zero-to-mastery-ml', 0.5074943900108337, 'study', 2), ('opentensor/bittensor', 0.5074020028114319, 'ml', 2), ('pytorch/pytorch', 0.5070353150367737, 'ml-dl', 3), ('microsoft/torchscale', 0.5050406455993652, 'llm', 1), ('tigerlab-ai/tiger', 0.5049441456794739, 'llm', 0), ('dask/dask-ml', 0.5045599937438965, 'ml', 0), ('marqo-ai/marqo', 0.5045498013496399, 'ml', 2), ('scikit-learn/scikit-learn', 0.5015178918838501, 'ml', 1), ('titanml/takeoff', 0.50138258934021, 'llm', 0), ('milvus-io/bootcamp', 0.5004434585571289, 'data', 1), ('ml-tooling/opyrator', 0.5004213452339172, 'viz', 1)]

nlp

https://github.com/huggingface/transformers

[]

['1910.03771']

['transformers']

huggingface/transformers

transformers

Python

https://huggingface.co/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface

2024-01-14

2018-10-29

https://avatars.githubusercontent.com/u/25720743?v=4

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

['bert', 'deep-learning', 'flax', 'jax', 'language-model', 'language-models', 'machine-learning', 'model-hub', 'natural-language-processing', 'nlp', 'nlp-library', 'pretrained-models', 'pytorch', 'pytorch-transformers', 'seq2seq', 'speech-recognition', 'tensorflow', 'transformer']

['bert', 'deep-learning', 'flax', 'jax', 'language-model', 'language-models', 'machine-learning', 'model-hub', 'natural-language-processing', 'nlp', 'nlp-library', 'pretrained-models', 'pytorch', 'pytorch-transformers', 'seq2seq', 'speech-recognition', 'tensorflow', 'transformer']

2024-01-13

[('thilinarajapakse/simpletransformers', 0.713013768196106, 'nlp', 0), ('explosion/thinc', 0.7069814801216125, 'ml-dl', 7), ('huggingface/optimum', 0.682058572769165, 'ml', 1), ('nvidia/deeplearningexamples', 0.6816701889038086, 'ml-dl', 5), ('keras-team/keras', 0.6673086285591125, 'ml-dl', 5), ('extreme-bert/extreme-bert', 0.6654086709022522, 'llm', 9), ('huggingface/datasets', 0.6632943153381348, 'nlp', 6), ('graykode/nlp-tutorial', 0.6622538566589355, 'study', 6), ('alignmentresearch/tuned-lens', 0.6621186137199402, 'ml-interpretability', 2), ('google/trax', 0.659750759601593, 'ml-dl', 4), ('cdpierse/transformers-interpret', 0.6538716554641724, 'ml-interpretability', 4), ('explosion/spacy-transformers', 0.6527365446090698, 'llm', 6), ('alibaba/easynlp', 0.6499559879302979, 'nlp', 6), ('intel/intel-extension-for-pytorch', 0.6460942625999451, 'perf', 3), ('keras-team/keras-nlp', 0.6460193395614624, 'nlp', 5), ('bigscience-workshop/megatron-deepspeed', 0.6457441449165344, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6457441449165344, 'llm', 0), ('arogozhnikov/einops', 0.6441165804862976, 'ml-dl', 4), ('paddlepaddle/paddlenlp', 0.6394706964492798, 'llm', 3), ('allenai/allennlp', 0.6358655095100403, 'nlp', 4), ('speechbrain/speechbrain', 0.6348034739494324, 'nlp', 4), ('pytorch/ignite', 0.6338894367218018, 'ml-dl', 3), ('nvlabs/gcvit', 0.6319802403450012, 'diffusion', 1), ('deepset-ai/farm', 0.6317070126533508, 'nlp', 7), ('ddbourgin/numpy-ml', 0.6313506960868835, 'ml', 1), ('deepmind/dm-haiku', 0.6224076747894287, 'ml-dl', 3), ('huggingface/exporters', 0.618623673915863, 'ml', 5), ('tensorly/tensorly', 0.6177733540534973, 'ml-dl', 4), ('rasbt/machine-learning-book', 0.6170870065689087, 'study', 3), ('huggingface/huggingface_hub', 0.6154810190200806, 'ml', 6), ('lucidrains/toolformer-pytorch', 0.6121810674667358, 'llm', 2), ('mosaicml/composer', 0.6106983423233032, 'ml-dl', 3), ('explosion/spacy', 0.6091046929359436, 'nlp', 5), ('horovod/horovod', 0.6071690917015076, 'ml-ops', 4), ('aistream-peelout/flow-forecast', 0.6060823798179626, 'time-series', 3), ('karpathy/micrograd', 0.6045575737953186, 'study', 0), ('ggerganov/ggml', 0.6029016375541687, 'ml', 1), ('tensorflow/tensorflow', 0.6026768684387207, 'ml-dl', 3), ('eleutherai/knowledge-neurons', 0.6015819907188416, 'ml-interpretability', 0), ('skorch-dev/skorch', 0.6005750894546509, 'ml-dl', 2), ('ashleve/lightning-hydra-template', 0.5985631942749023, 'util', 2), ('espnet/espnet', 0.5976542234420776, 'nlp', 3), ('microsoft/nni', 0.595805287361145, 'ml', 4), ('jina-ai/finetuner', 0.5934631824493408, 'ml', 2), ('onnx/onnx', 0.5913053750991821, 'ml', 4), ('neuralmagic/sparseml', 0.5908825993537903, 'ml-dl', 3), ('llmware-ai/llmware', 0.5898783206939697, 'llm', 4), ('nielsrogge/transformers-tutorials', 0.5857082605361938, 'study', 2), ('microsoft/onnxruntime', 0.5852525234222412, 'ml', 4), ('tensorlayer/tensorlayer', 0.5841869711875916, 'ml-rl', 2), ('rafiqhasan/auto-tensorflow', 0.5827978253364563, 'ml-dl', 2), ('databrickslabs/dolly', 0.5820251703262329, 'llm', 0), ('microsoft/semi-supervised-learning', 0.5814858078956604, 'ml', 5), ('merantix-momentum/squirrel-core', 0.5804790258407593, 'ml', 7), ('denys88/rl_games', 0.5799943208694458, 'ml-rl', 2), ('pytorch/rl', 0.5793347954750061, 'ml-rl', 2), ('alpa-projects/alpa', 0.57871413230896, 'ml-dl', 3), ('keras-team/autokeras', 0.5780196189880371, 'ml-dl', 3), ('rwightman/pytorch-image-models', 0.5753883123397827, 'ml-dl', 2), ('ml-tooling/opyrator', 0.5750659108161926, 'viz', 1), ('lvwerra/trl', 0.5739136338233948, 'llm', 0), ('karpathy/mingpt', 0.5732393860816956, 'llm', 0), ('pyro-ppl/pyro', 0.5731987953186035, 'ml-dl', 3), ('young-geng/easylm', 0.571175754070282, 'llm', 6), ('bigscience-workshop/petals', 0.5707271099090576, 'data', 7), ('jonasgeiping/cramming', 0.568610429763794, 'nlp', 2), ('aws/sagemaker-python-sdk', 0.5665184855461121, 'ml', 3), ('optimalscale/lmflow', 0.5635979771614075, 'llm', 5), ('bytedance/lightseq', 0.5596634149551392, 'nlp', 2), ('titanml/takeoff', 0.5578950047492981, 'llm', 1), ('huggingface/text-generation-inference', 0.557208240032196, 'llm', 4), ('rasahq/rasa', 0.5568842887878418, 'llm', 3), ('salesforce/blip', 0.5568798184394836, 'diffusion', 0), ('determined-ai/determined', 0.5561276078224182, 'ml-ops', 4), ('tlkh/tf-metal-experiments', 0.5560042858123779, 'perf', 3), ('marella/ctransformers', 0.5550124645233154, 'nlp', 0), ('mrdbourke/pytorch-deep-learning', 0.5548473596572876, 'study', 3), ('salesforce/deeptime', 0.5546357035636902, 'time-series', 1), ('kubeflow/fairing', 0.5541255474090576, 'ml-ops', 0), ('uber/petastorm', 0.5520153641700745, 'data', 4), ('flairnlp/flair', 0.5504770874977112, 'nlp', 4), ('squeezeailab/squeezellm', 0.5502358078956604, 'llm', 2), ('gradio-app/gradio', 0.5494317412376404, 'viz', 2), ('nltk/nltk', 0.5491923689842224, 'nlp', 3), ('deepfakes/faceswap', 0.5490606427192688, 'ml-dl', 2), ('deeppavlov/deeppavlov', 0.5488126873970032, 'nlp', 4), ('d2l-ai/d2l-en', 0.5483046174049377, 'study', 6), ('nvidia/nemo', 0.5480668544769287, 'nlp', 4), ('nvidia/apex', 0.5461992621421814, 'ml-dl', 0), ('pytorch/captum', 0.5457330942153931, 'ml-interpretability', 0), ('xl0/lovely-tensors', 0.5455830097198486, 'ml-dl', 2), ('christoschristofidis/awesome-deep-learning', 0.5454069972038269, 'study', 2), ('huggingface/autotrain-advanced', 0.5453631281852722, 'ml', 3), ('bobazooba/xllm', 0.5439950227737427, 'llm', 2), ('ludwig-ai/ludwig', 0.5431355834007263, 'ml-ops', 4), ('dylanhogg/awesome-python', 0.5408051609992981, 'study', 4), ('ageron/handson-ml2', 0.5403335094451904, 'ml', 0), ('huggingface/peft', 0.5402594208717346, 'llm', 1), ('mlflow/mlflow', 0.5401144027709961, 'ml-ops', 1), ('jina-ai/clip-as-service', 0.540093183517456, 'nlp', 3), ('explosion/spacy-models', 0.5389872193336487, 'nlp', 3), ('pyg-team/pytorch_geometric', 0.538887619972229, 'ml-dl', 2), ('tensorflow/addons', 0.5373498797416687, 'ml', 3), 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0.5258132219314575, 'ml-dl', 3), ('microsoft/flaml', 0.5236698985099792, 'ml', 3), ('tatsu-lab/stanford_alpaca', 0.5228704214096069, 'llm', 2), ('towhee-io/towhee', 0.5219820737838745, 'ml-ops', 2), ('aiqc/aiqc', 0.5214504599571228, 'ml-ops', 0), ('nvlabs/prismer', 0.5211392045021057, 'diffusion', 1), ('franck-dernoncourt/neuroner', 0.5211098790168762, 'nlp', 4), ('explosion/spacy-llm', 0.519777774810791, 'llm', 3), ('google/tf-quant-finance', 0.5193233489990234, 'finance', 1), ('timdettmers/bitsandbytes', 0.5178513526916504, 'util', 0), ('kevinmusgrave/pytorch-metric-learning', 0.5175970792770386, 'ml', 3), ('opengeos/earthformer', 0.5169755816459656, 'gis', 2), ('fchollet/deep-learning-with-python-notebooks', 0.5168095827102661, 'study', 0), ('apache/incubator-mxnet', 0.5165125131607056, 'ml-dl', 0), ('pytorch-labs/gpt-fast', 0.5157749056816101, 'llm', 2), ('lm-sys/fastchat', 0.5151023864746094, 'llm', 1), ('maartengr/bertopic', 0.5144845843315125, 'nlp', 3), ('awslabs/autogluon', 0.5144530534744263, 'ml', 4), ('huawei-noah/pretrained-language-model', 0.51437908411026, 'nlp', 1), ('neuml/txtai', 0.5143444538116455, 'nlp', 3), ('polyaxon/polyaxon', 0.5142974257469177, 'ml-ops', 4), ('ggerganov/whisper.cpp', 0.5125561356544495, 'util', 2), ('intellabs/bayesian-torch', 0.5125004053115845, 'ml', 2), ('thu-ml/tianshou', 0.5113345980644226, 'ml-rl', 1), ('nccr-itmo/fedot', 0.5109488368034363, 'ml-ops', 1), ('microsoft/lora', 0.5106838941574097, 'llm', 3), ('koaning/human-learn', 0.5105912089347839, 'data', 1), ('roboflow/supervision', 0.5099833011627197, 'ml', 4), ('qdrant/quaterion', 0.5091818571090698, 'ml', 3), ('kingoflolz/mesh-transformer-jax', 0.5089766979217529, 'nlp', 0), ('facebookresearch/pytorch3d', 0.508711040019989, 'ml-dl', 0), ('selfexplainml/piml-toolbox', 0.5078108310699463, 'ml-interpretability', 0), ('ourownstory/neural_prophet', 0.5077774524688721, 'ml', 3), ('fastai/fastcore', 0.5071895718574524, 'util', 0), ('probml/pyprobml', 0.5070176124572754, 'ml', 5), ('docarray/docarray', 0.5064188241958618, 'data', 3), ('ofa-sys/ofa', 0.5054358243942261, 'llm', 1), ('apple/ml-ane-transformers', 0.5047073364257812, 'ml', 0), ('microsoft/generative-ai-for-beginners', 0.5024099946022034, 'study', 1), ('hiyouga/llama-factory', 0.5012959241867065, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5012958645820618, 'llm', 1), ('pycaret/pycaret', 0.5007736682891846, 'ml', 1)]

ml-dl

https://github.com/pytorch/pytorch

[]

['1912.01703']

['torch']

pytorch/pytorch

pytorch

Python

https://pytorch.org

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch

2024-01-14

2016-08-13

https://avatars.githubusercontent.com/u/21003710?v=4

Tensors and Dynamic neural networks in Python with strong GPU acceleration

['autograd', 'deep-learning', 'gpu', 'machine-learning', 'neural-network', 'numpy', 'tensor']

['autograd', 'deep-learning', 'gpu', 'machine-learning', 'neural-network', 'numpy', 'tensor']

2024-01-14

[('ggerganov/ggml', 0.6398614645004272, 'ml', 1), ('google/tf-quant-finance', 0.6339718103408813, 'finance', 1), ('tensorly/tensorly', 0.6296373605728149, 'ml-dl', 3), ('arogozhnikov/einops', 0.624183177947998, 'ml-dl', 3), ('nvidia/tensorrt-llm', 0.61689293384552, 'viz', 1), ('xl0/lovely-tensors', 0.6134235858917236, 'ml-dl', 1), ('nvidia/warp', 0.6113191843032837, 'sim', 1), ('intel/intel-extension-for-pytorch', 0.6112003922462463, 'perf', 3), ('huggingface/accelerate', 0.5829792022705078, 'ml', 0), ('karpathy/micrograd', 0.5792595744132996, 'study', 0), ('cupy/cupy', 0.5749741196632385, 'math', 3), ('google/jax', 0.5702386498451233, 'ml', 2), ('rafiqhasan/auto-tensorflow', 0.5693333745002747, 'ml-dl', 1), ('jeshraghian/snntorch', 0.5666177272796631, 'ml-dl', 1), ('pytorchlightning/pytorch-lightning', 0.5660499334335327, 'ml-dl', 2), ('pytorch/ignite', 0.5628584623336792, 'ml-dl', 3), ('ageron/handson-ml2', 0.5553191304206848, 'ml', 0), ('plasma-umass/scalene', 0.5483222007751465, 'profiling', 1), ('microsoft/onnxruntime', 0.5476374626159668, 'ml', 2), ('nyandwi/modernconvnets', 0.5467002391815186, 'ml-dl', 0), ('tensorflow/addons', 0.5459487438201904, 'ml', 3), ('artemyk/dynpy', 0.5410839319229126, 'sim', 0), ('facebookincubator/aitemplate', 0.5403209328651428, 'ml-dl', 0), ('lightly-ai/lightly', 0.5388930439949036, 'ml', 2), ('ddbourgin/numpy-ml', 0.5358303189277649, 'ml', 1), ('keras-rl/keras-rl', 0.535692572593689, 'ml-rl', 1), ('xl0/lovely-numpy', 0.5318784713745117, 'util', 2), ('skorch-dev/skorch', 0.5300707817077637, 'ml-dl', 1), ('gradio-app/gradio', 0.5270141959190369, 'viz', 2), ('horovod/horovod', 0.5245367288589478, 'ml-ops', 2), ('exaloop/codon', 0.5243420600891113, 'perf', 0), ('tlkh/tf-metal-experiments', 0.5232517123222351, 'perf', 2), ('tensorlayer/tensorlayer', 0.5231267213821411, 'ml-rl', 2), ('rentruewang/koila', 0.5214821696281433, 'ml', 3), ('ray-project/ray', 0.5206745862960815, 'ml-ops', 2), ('pytorch/glow', 0.5188764929771423, 'ml', 0), ('dmlc/dgl', 0.5178238749504089, 'ml-dl', 1), ('keras-team/autokeras', 0.5157300233840942, 'ml-dl', 2), ('patrick-kidger/torchtyping', 0.5150875449180603, 'typing', 0), ('micropython/micropython', 0.5111660361289978, 'util', 0), ('salesforce/warp-drive', 0.5105277895927429, 'ml-rl', 2), ('facebookresearch/pytorch3d', 0.5076754093170166, 'ml-dl', 0), ('google/trax', 0.5070921778678894, 'ml-dl', 3), ('tensorflow/tensorflow', 0.5070353150367737, 'ml-dl', 3), ('google/gin-config', 0.5066419243812561, 'util', 0), ('tensorflow/mesh', 0.5063491463661194, 'ml-dl', 0), ('d2l-ai/d2l-en', 0.5062558650970459, 'study', 2), ('cvxgrp/pymde', 0.5061772465705872, 'ml', 2), ('eleutherai/gpt-neox', 0.5058263540267944, 'llm', 0), ('pyg-team/pytorch_geometric', 0.503031313419342, 'ml-dl', 1), ('mrdbourke/m1-machine-learning-test', 0.5010038018226624, 'ml', 1), ('denys88/rl_games', 0.5007427930831909, 'ml-rl', 1)]

llm

https://github.com/hwchase17/langchain

['langchain', 'chatbot', 'language-model']

[]

['langchain']

hwchase17/langchain

langchain

Python

https://python.langchain.com

⚡ Building applications with LLMs through composability ⚡

hwchase17

2024-01-14

2022-10-17

https://avatars.githubusercontent.com/u/126733545?v=4

⚡ Building applications with LLMs through composability ⚡

[]

['chatbot', 'langchain', 'language-model']

2024-01-13

[('nomic-ai/gpt4all', 0.756317138671875, 'llm', 2), ('deep-diver/llm-as-chatbot', 0.6912153363227844, 'llm', 1), ('thudm/chatglm2-6b', 0.6808525919914246, 'llm', 0), ('pathwaycom/llm-app', 0.6680853366851807, 'llm', 1), ('intel/intel-extension-for-transformers', 0.662899911403656, 'perf', 1), ('microsoft/autogen', 0.6627272963523865, 'llm', 1), ('embedchain/embedchain', 0.652535617351532, 'llm', 0), ('mlc-ai/web-llm', 0.6466255187988281, 'llm', 1), ('agenta-ai/agenta', 0.6438751816749573, 'llm', 1), ('young-geng/easylm', 0.6422194838523865, 'llm', 2), ('chainlit/chainlit', 0.6356831789016724, 'llm', 1), ('langchain-ai/langgraph', 0.6307724118232727, 'llm', 1), ('microsoft/promptflow', 0.6271064877510071, 'llm', 0), ('deepset-ai/haystack', 0.6265890598297119, 'llm', 1), ('microsoft/promptcraft-robotics', 0.6214913129806519, 'sim', 0), ('dylanhogg/llmgraph', 0.6144862174987793, 'ml', 0), ('nat/openplayground', 0.607382595539093, 'llm', 1), ('lm-sys/fastchat', 0.6048544645309448, 'llm', 2), ('run-llama/rags', 0.6003484129905701, 'llm', 1), ('eugeneyan/open-llms', 0.599155068397522, 'study', 0), ('deep-diver/pingpong', 0.589103639125824, 'llm', 0), ('citadel-ai/langcheck', 0.5860381722450256, 'llm', 1), ('chatarena/chatarena', 0.5813690423965454, 'llm', 0), ('li-plus/chatglm.cpp', 0.5806834697723389, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5801489949226379, 'llm', 1), ('shishirpatil/gorilla', 0.5784041285514832, 'llm', 0), ('berriai/litellm', 0.573574423789978, 'llm', 1), ('langchain-ai/chat-langchain', 0.5708911418914795, 'llm', 0), ('zilliztech/gptcache', 0.5693703293800354, 'llm', 2), ('guidance-ai/guidance', 0.5676143765449524, 'llm', 1), ('nvidia/nemo-guardrails', 0.5671313405036926, 'llm', 1), ('ibm/dromedary', 0.5653164386749268, 'llm', 1), ('fasteval/fasteval', 0.5635910630226135, 'llm', 0), ('eth-sri/lmql', 0.5619138479232788, 'llm', 1), ('salesforce/xgen', 0.5602133274078369, 'llm', 1), ('explosion/spacy-llm', 0.5581352710723877, 'llm', 0), ('microsoft/semantic-kernel', 0.5559676289558411, 'llm', 0), ('salesforce/codet5', 0.5549836158752441, 'nlp', 1), ('jina-ai/thinkgpt', 0.5536667704582214, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5530260801315308, 'llm', 1), ('rcgai/simplyretrieve', 0.5519610643386841, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5519071221351624, 'llm', 1), ('hiyouga/llama-factory', 0.5519071221351624, 'llm', 1), ('confident-ai/deepeval', 0.5516130328178406, 'testing', 1), ('langchain-ai/langsmith-cookbook', 0.5514335632324219, 'llm', 1), ('lchen001/llmdrift', 0.5510751008987427, 'llm', 1), ('alphasecio/langchain-examples', 0.5499154925346375, 'llm', 1), ('cheshire-cat-ai/core', 0.5408321619033813, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.5383664965629578, 'llm', 0), ('mmabrouk/chatgpt-wrapper', 0.5374903082847595, 'llm', 1), ('aiwaves-cn/agents', 0.536536693572998, 'nlp', 1), ('tigerlab-ai/tiger', 0.5362697243690491, 'llm', 0), ('next-gpt/next-gpt', 0.5355835556983948, 'llm', 0), ('microsoft/torchscale', 0.5352845788002014, 'llm', 0), ('bigscience-workshop/petals', 0.5341628789901733, 'data', 1), ('minimaxir/simpleaichat', 0.5275580883026123, 'llm', 0), ('openlmlab/moss', 0.5230026245117188, 'llm', 1), ('killianlucas/open-interpreter', 0.5187687873840332, 'llm', 0), ('conceptofmind/toolformer', 0.5181885361671448, 'llm', 1), ('argilla-io/argilla', 0.5174627304077148, 'nlp', 1), ('mlc-ai/mlc-llm', 0.5162545442581177, 'llm', 1), ('ajndkr/lanarky', 0.5159770846366882, 'llm', 0), ('prefecthq/marvin', 0.5155816078186035, 'nlp', 0), ('togethercomputer/openchatkit', 0.5152731537818909, 'nlp', 1), ('langchain-ai/langsmith-sdk', 0.5111579298973083, 'llm', 1), ('rasahq/rasa', 0.5109175443649292, 'llm', 1), ('run-llama/llama-lab', 0.5104470252990723, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5097209215164185, 'llm', 0), ('mnotgod96/appagent', 0.5082905888557434, 'llm', 0), ('logspace-ai/langflow', 0.5081093907356262, 'llm', 1), ('prefecthq/langchain-prefect', 0.5060675740242004, 'llm', 1), ('mooler0410/llmspracticalguide', 0.5019939541816711, 'study', 0)]

util

https://github.com/home-assistant/core

[]

[]

['homeassistant']

home-assistant/core

core

Python

https://www.home-assistant.io

:house_with_garden: Open source home automation that puts local control and privacy first.

home-assistant

2024-01-14

2013-09-17

https://avatars.githubusercontent.com/u/13844975?v=4

🏡 Open source home automation that puts local control and privacy first.

['asyncio', 'home-automation', 'internet-of-things', 'iot', 'mqtt', 'raspberry-pi']

['asyncio', 'home-automation', 'internet-of-things', 'iot', 'mqtt', 'raspberry-pi']

2024-01-14

[('blakeblackshear/frigate', 0.5823681354522705, 'util', 2)]

util

https://github.com/yt-dlp/yt-dlp

[]

[]

[]

yt-dlp/yt-dlp

yt-dlp

Python

https://discord.gg/H5MNcFW63r

A youtube-dl fork with additional features and fixes

yt-dlp

2024-01-14

2020-10-26

https://avatars.githubusercontent.com/u/79589310?v=4

A youtube-dl fork with additional features and fixes

['sponskrub', 'sponsorblock', 'video-downloader', 'youtube-dl', 'youtube-dlc', 'youtube-downloader', 'yt-dlp']

['sponskrub', 'sponsorblock', 'video-downloader', 'youtube-dl', 'youtube-dlc', 'youtube-downloader', 'yt-dlp']

2024-01-09

[('pytube/pytube', 0.5481389164924622, 'util', 0)]

llm

https://github.com/ggerganov/llama.cpp

['llama', 'language-model']

[]

[]

ggerganov/llama.cpp

llama.cpp

C

Port of Facebook's LLaMA model in C/C++

ggerganov

2024-01-14

2023-03-10

Port of Facebook's LLaMA model in C/C++

[]

['language-model', 'llama']

2024-01-13

[('microsoft/llama-2-onnx', 0.6485655903816223, 'llm', 2), ('facebookresearch/llama-recipes', 0.6467329263687134, 'llm', 2), ('tloen/alpaca-lora', 0.6068325042724609, 'llm', 2), ('abetlen/llama-cpp-python', 0.5961679816246033, 'llm', 2), ('jzhang38/tinyllama', 0.5698243379592896, 'llm', 2), ('facebookresearch/llama', 0.5505987405776978, 'llm', 2), ('run-llama/llama-lab', 0.545893132686615, 'llm', 2), ('karpathy/llama2.c', 0.5367782711982727, 'llm', 2), ('lightning-ai/lit-llama', 0.5175377726554871, 'llm', 2)]

llm

https://github.com/jerryjliu/llama_index

['llama-index', 'llama', 'language-model']

[]

[]

jerryjliu/llama_index

llama_index

Python

https://docs.llamaindex.ai

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

jerryjliu

2024-01-14

2022-11-02

https://avatars.githubusercontent.com/u/130722866?v=4

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

['agents', 'application', 'data', 'fine-tuning', 'framework', 'llamaindex', 'llm', 'rag', 'vector-database']

['agents', 'application', 'data', 'fine-tuning', 'framework', 'language-model', 'llama', 'llama-index', 'llamaindex', 'llm', 'rag', 'vector-database']

2024-01-14

[('run-llama/llama-hub', 0.6595434546470642, 'data', 1), ('run-llama/llama-lab', 0.6514791250228882, 'llm', 3), ('zilliztech/gptcache', 0.5998677611351013, 'llm', 3), ('bentoml/openllm', 0.5906221866607666, 'ml-ops', 3), ('pathwaycom/llm-app', 0.5804813504219055, 'llm', 3), ('bobazooba/xllm', 0.5593804121017456, 'llm', 2), ('lancedb/lancedb', 0.5558105707168579, 'data', 1), ('confident-ai/deepeval', 0.5483352541923523, 'testing', 2), ('ajndkr/lanarky', 0.5451417565345764, 'llm', 0), ('vllm-project/vllm', 0.5435225963592529, 'llm', 2), ('microsoft/llama-2-onnx', 0.542698860168457, 'llm', 2), ('shishirpatil/gorilla', 0.5362586975097656, 'llm', 1), ('lightning-ai/lit-llama', 0.5328296422958374, 'llm', 2), ('predibase/lorax', 0.5294747352600098, 'llm', 3), ('opengenerativeai/genossgpt', 0.5268757939338684, 'llm', 2), ('tloen/alpaca-lora', 0.5254223942756653, 'llm', 2), ('tigerlab-ai/tiger', 0.5246336460113525, 'llm', 3), ('ray-project/llm-applications', 0.5219264030456543, 'llm', 2), ('h2oai/h2o-llmstudio', 0.5202019214630127, 'llm', 3), ('nebuly-ai/nebullvm', 0.518968403339386, 'perf', 1), ('deepset-ai/haystack', 0.5174872279167175, 'llm', 1), ('eugeneyan/open-llms', 0.5083422660827637, 'study', 1), ('mshumer/gpt-llm-trainer', 0.5029345154762268, 'llm', 0), ('microsoft/semantic-kernel', 0.5002325773239136, 'llm', 1)]

web

https://github.com/tiangolo/fastapi

[]

[]

[]

tiangolo/fastapi

fastapi

Python

https://fastapi.tiangolo.com/

FastAPI framework, high performance, easy to learn, fast to code, ready for production

tiangolo

2024-01-14

2018-12-08

FastAPI framework, high performance, easy to learn, fast to code, ready for production

['api', 'async', 'asyncio', 'fastapi', 'framework', 'json', 'json-schema', 'openapi', 'openapi3', 'pydantic', 'python-types', 'redoc', 'rest', 'starlette', 'swagger', 'swagger-ui', 'uvicorn', 'web']

['api', 'async', 'asyncio', 'fastapi', 'framework', 'json', 'json-schema', 'openapi', 'openapi3', 'pydantic', 'python-types', 'redoc', 'rest', 'starlette', 'swagger', 'swagger-ui', 'uvicorn', 'web']

2024-01-13

[('vitalik/django-ninja', 0.8338611721992493, 'web', 4), ('asacristani/fastapi-rocket-boilerplate', 0.7025260925292969, 'template', 1), ('starlite-api/starlite', 0.6928763389587402, 'web', 7), ('tiangolo/full-stack-fastapi-postgresql', 0.6879447102546692, 'template', 6), ('awtkns/fastapi-crudrouter', 0.6808283925056458, 'web', 10), ('python-restx/flask-restx', 0.6711971163749695, 'web', 4), ('hugapi/hug', 0.6468743085861206, 'util', 0), ('s3rius/fastapi-template', 0.6399540305137634, 'web', 2), ('fastai/fastcore', 0.63350909948349, 'util', 0), ('falconry/falcon', 0.608084499835968, 'web', 4), ('huge-success/sanic', 0.6080839037895203, 'web', 3), ('willmcgugan/textual', 0.6067060232162476, 'term', 1), ('fastapi-users/fastapi-users', 0.599251925945282, 'web', 4), ('rawheel/fastapi-boilerplate', 0.5945311188697815, 'web', 2), ('ml-tooling/opyrator', 0.5786353349685669, 'viz', 2), ('dmontagu/fastapi_client', 0.5745565891265869, 'web', 0), ('ajndkr/lanarky', 0.5630785822868347, 'llm', 2), ('tiangolo/sqlmodel', 0.5522589683532715, 'data', 4), ('shishirpatil/gorilla', 0.5488146543502808, 'llm', 1), ('plotly/dash', 0.5433139801025391, 'viz', 0), ('pyeve/eve', 0.5388421416282654, 'web', 1), ('alirn76/panther', 0.5322808027267456, 'web', 1), ('fastai/ghapi', 0.5305969715118408, 'util', 1), ('klen/muffin', 0.5296502709388733, 'web', 1), ('prefecthq/server', 0.5276178121566772, 'util', 0), ('tiangolo/asyncer', 0.525113582611084, 'perf', 2), ('flet-dev/flet', 0.5213461518287659, 'web', 1), ('neoteroi/blacksheep', 0.5194063782691956, 'web', 3), ('zhanymkanov/fastapi-best-practices', 0.5182605981826782, 'study', 1), ('alphasecio/langchain-examples', 0.5145138502120972, 'llm', 0), ('lucidrains/toolformer-pytorch', 0.5137580037117004, 'llm', 0), ('timofurrer/awesome-asyncio', 0.5137189030647278, 'study', 1), ('meltano/meltano', 0.5132185220718384, 'ml-ops', 0), ('fastapi-admin/fastapi-admin', 0.5084497928619385, 'web', 1), ('magicstack/uvloop', 0.5084176659584045, 'util', 2), ('pallets/flask', 0.5078809857368469, 'web', 0), ('flipkart-incubator/astra', 0.5062249302864075, 'web', 0), ('agronholm/anyio', 0.5019605159759521, 'perf', 1)]

llm

https://github.com/oobabooga/text-generation-webui

['ui', 'language-model']

[]

[]

oobabooga/text-generation-webui

text-generation-webui

Python

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

oobabooga

2024-01-14

2022-12-21

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

[]

['language-model', 'ui']

2024-01-14

[('hannibal046/awesome-llm', 0.65085768699646, 'study', 1), ('mlc-ai/web-llm', 0.6323723793029785, 'llm', 1), ('lianjiatech/belle', 0.6288968324661255, 'llm', 0), ('microsoft/autogen', 0.6154066920280457, 'llm', 0), ('young-geng/easylm', 0.6048070788383484, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5950998663902283, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.5891088843345642, 'llm', 1), ('freedomintelligence/llmzoo', 0.5807399153709412, 'llm', 1), ('lm-sys/fastchat', 0.5752599835395813, 'llm', 1), ('microsoft/llama-2-onnx', 0.5708426833152771, 'llm', 1), ('next-gpt/next-gpt', 0.5688201785087585, 'llm', 0), ('ai21labs/lm-evaluation', 0.5664257407188416, 'llm', 1), ('conceptofmind/toolformer', 0.5621170997619629, 'llm', 1), ('hiyouga/llama-factory', 0.5427017211914062, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5427016019821167, 'llm', 1), ('facebookresearch/llama-recipes', 0.5421599745750427, 'llm', 1), ('lupantech/chameleon-llm', 0.5410828590393066, 'llm', 1), ('run-llama/llama-lab', 0.5403240919113159, 'llm', 1), ('lightning-ai/lit-llama', 0.5357398986816406, 'llm', 1), ('juncongmoo/pyllama', 0.5334741473197937, 'llm', 0), ('cg123/mergekit', 0.5220274925231934, 'llm', 0), ('openlmlab/moss', 0.5163723230361938, 'llm', 1), ('microsoft/lora', 0.5137597918510437, 'llm', 1), ('xtekky/gpt4free', 0.5130376815795898, 'llm', 1), ('dylanhogg/llmgraph', 0.5120260715484619, 'ml', 0), ('langchain-ai/langgraph', 0.5098942518234253, 'llm', 0), ('salesforce/xgen', 0.5097959041595459, 'llm', 1), ('togethercomputer/redpajama-data', 0.5050533413887024, 'llm', 0), ('guidance-ai/guidance', 0.504760205745697, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.5040669441223145, 'llm', 0), ('vitalik/django-ninja', 0.5028524398803711, 'web', 0), ('prefecthq/langchain-prefect', 0.5021174550056458, 'llm', 0), ('bobazooba/xllm', 0.501327633857727, 'llm', 0)]

util

https://github.com/astral-sh/ruff

['code-quality']

[]

[]

astral-sh/ruff

ruff

Rust

https://docs.astral.sh/ruff

An extremely fast Python linter and code formatter, written in Rust.

astral-sh

2024-01-14

2022-08-09

https://avatars.githubusercontent.com/u/115962839?v=4

An extremely fast Python linter and code formatter, written in Rust.

['linter', 'pep8', 'ruff', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide']

['code-quality', 'linter', 'pep8', 'ruff', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide']

2024-01-14

[('google/pytype', 0.6849864721298218, 'typing', 4), ('grantjenks/blue', 0.6735846996307373, 'util', 1), ('psf/black', 0.6487815976142883, 'util', 1), ('aswinnnn/pyscan', 0.6466583609580994, 'security', 2), ('rustpython/rustpython', 0.6286622881889343, 'util', 1), ('instagram/monkeytype', 0.6186012029647827, 'typing', 1), ('google/yapf', 0.6007269024848938, 'util', 1), ('pytoolz/toolz', 0.5842194557189941, 'util', 0), ('pycqa/flake8', 0.5777422785758972, 'util', 7), ('landscapeio/prospector', 0.5776445269584656, 'util', 0), ('pypy/pypy', 0.5697559118270874, 'util', 0), ('pola-rs/polars', 0.5693628787994385, 'pandas', 1), ('pycqa/pylint', 0.569158136844635, 'util', 5), ('samuelcolvin/rtoml', 0.5641447305679321, 'data', 1), ('pyo3/maturin', 0.556878387928009, 'util', 1), ('mynameisfiber/high_performance_python_2e', 0.542158305644989, 'study', 0), ('crytic/slither', 0.5403991937637329, 'crypto', 1), ('hhatto/autopep8', 0.5378404259681702, 'util', 1), ('tiangolo/typer', 0.5375232100486755, 'term', 0), ('python/mypy', 0.533256471157074, 'typing', 2), ('rubik/radon', 0.528230607509613, 'util', 1), ('numba/llvmlite', 0.5217279195785522, 'util', 0), ('nedbat/coveragepy', 0.5197017788887024, 'testing', 0), ('pyston/pyston', 0.5196829438209534, 'util', 0), ('mdmzfzl/neetcode-solutions', 0.519241452217102, 'study', 1), ('klen/pylama', 0.5164267420768738, 'util', 1), ('facebookincubator/cinder', 0.5143499374389648, 'perf', 0), ('python/cpython', 0.5113768577575684, 'util', 0), ('mito-ds/monorepo', 0.5106766223907471, 'jupyter', 0), ('python/typeshed', 0.5103850364685059, 'typing', 1), ('pycqa/mccabe', 0.509772777557373, 'util', 0), ('klen/py-frameworks-bench', 0.5096173882484436, 'perf', 0), ('facebook/pyre-check', 0.5057628154754639, 'typing', 2), ('fchollet/deep-learning-with-python-notebooks', 0.5036055445671082, 'study', 0), ('willmcgugan/rich', 0.5019975900650024, 'term', 0), ('ta-lib/ta-lib-python', 0.5013483166694641, 'finance', 0), ('fastai/fastcore', 0.5008984804153442, 'util', 0)]

llm

https://github.com/torantulino/auto-gpt

['autonomous-agents']

[]

[]

torantulino/auto-gpt

AutoGPT

JavaScript

https://agpt.co

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

torantulino

2024-01-14

2023-03-16

https://avatars.githubusercontent.com/u/130738209?v=4

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

['ai', 'artificial-intelligence', 'autonomous-agents', 'gpt-4', 'openai']

['ai', 'artificial-intelligence', 'autonomous-agents', 'gpt-4', 'openai']

2024-01-12

[('antonosika/gpt-engineer', 0.6554578542709351, 'llm', 3), ('assafelovic/gpt-researcher', 0.6427838802337646, 'llm', 0), ('yoheinakajima/babyagi', 0.6121024489402771, 'llm', 2), ('transformeroptimus/superagi', 0.6111651659011841, 'llm', 5), ('mindsdb/mindsdb', 0.5791462659835815, 'data', 2), ('oneil512/insight', 0.5754587054252625, 'ml', 1), ('microsoft/lmops', 0.5733479261398315, 'llm', 0), ('pytorchlightning/pytorch-lightning', 0.5608023405075073, 'ml-dl', 2), ('awslabs/autogluon', 0.5540371537208557, 'ml', 0), ('linksoul-ai/autoagents', 0.5497490167617798, 'llm', 1), ('prefecthq/marvin', 0.5470284223556519, 'nlp', 2), ('winedarksea/autots', 0.5468161702156067, 'time-series', 0), ('langchain-ai/opengpts', 0.5114303231239319, 'llm', 0), ('minimaxir/aitextgen', 0.5113155841827393, 'llm', 0), ('farizrahman4u/loopgpt', 0.5069693922996521, 'llm', 0), ('huggingface/autotrain-advanced', 0.5032193660736084, 'ml', 0), ('operand/agency', 0.5023353099822998, 'llm', 3), ('keras-team/autokeras', 0.5023127198219299, 'ml-dl', 0)]

ml-dl

https://github.com/keras-team/keras

[]

[]

[]

keras-team/keras

keras

Python

http://keras.io/

Deep Learning for humans

keras-team

2024-01-14

2015-03-28

https://avatars.githubusercontent.com/u/34455048?v=4

Deep Learning for humans

['data-science', 'deep-learning', 'jax', 'machine-learning', 'neural-networks', 'pytorch', 'tensorflow']

['data-science', 'deep-learning', 'jax', 'machine-learning', 'neural-networks', 'pytorch', 'tensorflow']

2024-01-10

[('explosion/thinc', 0.7295705080032349, 'ml-dl', 5), ('tensorflow/tensorflow', 0.7145187258720398, 'ml-dl', 3), ('google/trax', 0.7093995809555054, 'ml-dl', 3), ('huggingface/transformers', 0.6673086285591125, 'nlp', 5), ('tensorlayer/tensorlayer', 0.6656548976898193, 'ml-rl', 2), ('onnx/onnx', 0.6622923612594604, 'ml', 4), ('mosaicml/composer', 0.6608446836471558, 'ml-dl', 4), ('deepmind/dm-haiku', 0.6441159844398499, 'ml-dl', 4), ('keras-rl/keras-rl', 0.64116370677948, 'ml-rl', 3), ('xl0/lovely-tensors', 0.6338521242141724, 'ml-dl', 2), ('microsoft/onnxruntime', 0.6258196234703064, 'ml', 5), ('huggingface/datasets', 0.6186720728874207, 'nlp', 4), ('d2l-ai/d2l-en', 0.6172467470169067, 'study', 6), ('nyandwi/modernconvnets', 0.6126129627227783, 'ml-dl', 2), ('alpa-projects/alpa', 0.6106972098350525, 'ml-dl', 3), ('ddbourgin/numpy-ml', 0.6089706420898438, 'ml', 2), ('aiqc/aiqc', 0.6046340465545654, 'ml-ops', 0), ('nvidia/deeplearningexamples', 0.5996661186218262, 'ml-dl', 3), ('pytorch/ignite', 0.5964016318321228, 'ml-dl', 3), ('mrdbourke/pytorch-deep-learning', 0.5936383008956909, 'study', 3), ('tensorflow/tensor2tensor', 0.5834200382232666, 'ml', 2), ('tensorly/tensorly', 0.5832876563072205, 'ml-dl', 4), ('fepegar/torchio', 0.5828122496604919, 'ml-dl', 3), ('arogozhnikov/einops', 0.580649197101593, 'ml-dl', 4), ('microsoft/deepspeed', 0.5722226500511169, 'ml-dl', 3), ('ageron/handson-ml2', 0.5698571801185608, 'ml', 0), ('keras-team/autokeras', 0.5688300728797913, 'ml-dl', 3), ('rwightman/pytorch-image-models', 0.5650960803031921, 'ml-dl', 1), ('tlkh/tf-metal-experiments', 0.565044641494751, 'perf', 2), ('neuralmagic/deepsparse', 0.5612209439277649, 'nlp', 0), ('pyg-team/pytorch_geometric', 0.5601423978805542, 'ml-dl', 2), ('danielegrattarola/spektral', 0.5592799186706543, 'ml-dl', 2), ('rasbt/machine-learning-book', 0.5560621619224548, 'study', 4), ('pyro-ppl/pyro', 0.5552471876144409, 'ml-dl', 3), ('lutzroeder/netron', 0.5549449920654297, 'ml', 4), ('intel/intel-extension-for-pytorch', 0.5548680424690247, 'perf', 3), ('determined-ai/determined', 0.5539653301239014, 'ml-ops', 5), ('aistream-peelout/flow-forecast', 0.5506109595298767, 'time-series', 2), ('amanchadha/coursera-deep-learning-specialization', 0.5479432940483093, 'study', 2), ('horovod/horovod', 0.5442795157432556, 'ml-ops', 4), ('christoschristofidis/awesome-deep-learning', 0.5434898138046265, 'study', 2), ('gradio-app/gradio', 0.5424529314041138, 'viz', 3), ('koaning/human-learn', 0.5424421429634094, 'data', 1), ('google/tf-quant-finance', 0.5417336821556091, 'finance', 1), ('kevinmusgrave/pytorch-metric-learning', 0.5415274500846863, 'ml', 3), ('merantix-momentum/squirrel-core', 0.5407350659370422, 'ml', 6), ('denys88/rl_games', 0.5397940278053284, 'ml-rl', 2), ('mlflow/mlflow', 0.5389267802238464, 'ml-ops', 1), ('bentoml/bentoml', 0.5380653738975525, 'ml-ops', 2), ('alirezadir/machine-learning-interview-enlightener', 0.5340282917022705, 'study', 2), ('deepfakes/faceswap', 0.5320166945457458, 'ml-dl', 3), ('project-monai/monai', 0.5263016819953918, 'ml', 2), ('pytorch/rl', 0.5254106521606445, 'ml-rl', 2), ('roboflow/supervision', 0.5252509713172913, 'ml', 4), ('hpcaitech/colossalai', 0.5246325135231018, 'llm', 1), ('feast-dev/feast', 0.5223841071128845, 'ml-ops', 2), ('firmai/industry-machine-learning', 0.5215654969215393, 'study', 2), ('intellabs/bayesian-torch', 0.5210490822792053, 'ml', 2), ('apache/incubator-mxnet', 0.5203127861022949, 'ml-dl', 0), ('microsoft/nni', 0.5200637578964233, 'ml', 5), ('graykode/nlp-tutorial', 0.5174597501754761, 'study', 2), ('uber/petastorm', 0.5165746808052063, 'data', 4), ('deepmind/dm_control', 0.5160452723503113, 'ml-rl', 3), ('ludwig-ai/ludwig', 0.515795111656189, 'ml-ops', 4), ('skorch-dev/skorch', 0.5138635635375977, 'ml-dl', 2), ('opentensor/bittensor', 0.5132687091827393, 'ml', 4), ('tensorflow/addons', 0.5103944540023804, 'ml', 3), ('unity-technologies/ml-agents', 0.5099013447761536, 'ml-rl', 3), ('deepmodeling/deepmd-kit', 0.5097646713256836, 'sim', 2), ('neuralmagic/sparseml', 0.5088281631469727, 'ml-dl', 2), ('keras-team/keras-nlp', 0.5086270570755005, 'nlp', 3), ('udacity/deep-learning-v2-pytorch', 0.5079450011253357, 'study', 2), ('google/mediapipe', 0.5077323317527771, 'ml', 2), ('ggerganov/ggml', 0.5067704319953918, 'ml', 1), ('rasbt/deeplearning-models', 0.5051916837692261, 'ml-dl', 0), ('mrdbourke/tensorflow-deep-learning', 0.5046241283416748, 'study', 2), ('ai4finance-foundation/finrl', 0.5041005611419678, 'finance', 0), ('microsoft/semi-supervised-learning', 0.5026553869247437, 'ml', 3), ('activeloopai/deeplake', 0.5025708675384521, 'ml-ops', 5), ('udlbook/udlbook', 0.5011566877365112, 'study', 1)]

ml

https://github.com/scikit-learn/scikit-learn

[]

['1201.0490']

[]

scikit-learn/scikit-learn

scikit-learn

Python

https://scikit-learn.org

scikit-learn: machine learning in Python

scikit-learn

2024-01-14

2010-08-17

https://avatars.githubusercontent.com/u/365630?v=4

scikit-learn: machine learning in Python

['data-analysis', 'data-science', 'machine-learning', 'statistics']

['data-analysis', 'data-science', 'machine-learning', 'statistics']

2024-01-13

[('rasbt/mlxtend', 0.7584848403930664, 'ml', 2), ('online-ml/river', 0.6860164403915405, 'ml', 2), ('pycaret/pycaret', 0.6792936325073242, 'ml', 2), ('scikit-learn-contrib/metric-learn', 0.6777765154838562, 'ml', 1), ('gradio-app/gradio', 0.6689245700836182, 'viz', 3), ('scikit-learn-contrib/imbalanced-learn', 0.6626807451248169, 'ml', 4), ('featurelabs/featuretools', 0.6306010484695435, 'ml', 2), ('scikit-learn-contrib/lightning', 0.6304967403411865, 'ml', 1), ('sktime/sktime', 0.6196394562721252, 'time-series', 2), ('epistasislab/tpot', 0.6184797286987305, 'ml', 2), ('firmai/atspy', 0.6164392232894897, 'time-series', 0), ('statsmodels/statsmodels', 0.6116586327552795, 'ml', 3), ('awslabs/gluonts', 0.6101686358451843, 'time-series', 2), ('automl/auto-sklearn', 0.6095296144485474, 'ml', 0), ('ageron/handson-ml2', 0.6084038615226746, 'ml', 0), ('pymc-devs/pymc3', 0.6052919030189514, 'ml', 0), ('huggingface/evaluate', 0.5982382893562317, 'ml', 1), ('ddbourgin/numpy-ml', 0.5975611209869385, 'ml', 1), ('firmai/industry-machine-learning', 0.5884523987770081, 'study', 2), ('scikit-mobility/scikit-mobility', 0.5857199430465698, 'gis', 3), ('tensorflow/data-validation', 0.5854442715644836, 'ml-ops', 0), ('probml/pyprobml', 0.5849363207817078, 'ml', 1), ('districtdatalabs/yellowbrick', 0.5833300948143005, 'ml', 1), ('alkaline-ml/pmdarima', 0.5828933715820312, 'time-series', 1), ('sentinel-hub/eo-learn', 0.581174910068512, 'gis', 1), ('krzjoa/awesome-python-data-science', 0.578446090221405, 'study', 4), ('patchy631/machine-learning', 0.575724184513092, 'ml', 0), ('google/pyglove', 0.5719713568687439, 'util', 1), ('scipy/scipy', 0.5719190835952759, 'math', 0), ('jovianml/opendatasets', 0.5696676969528198, 'data', 2), ('goldmansachs/gs-quant', 0.5592624545097351, 'finance', 0), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5567522644996643, 'study', 0), ('google/temporian', 0.5564255714416504, 'time-series', 0), ('quantopian/pyfolio', 0.5517749786376953, 'finance', 0), ('pandas-dev/pandas', 0.5512358546257019, 'pandas', 2), ('fatiando/verde', 0.5504959225654602, 'gis', 1), ('ranaroussi/quantstats', 0.5498625636100769, 'finance', 0), ('kubeflow/fairing', 0.5472146272659302, 'ml-ops', 0), ('selfexplainml/piml-toolbox', 0.5468170642852783, 'ml-interpretability', 0), ('jeshraghian/snntorch', 0.5448082089424133, 'ml-dl', 1), ('eleutherai/pyfra', 0.543034553527832, 'ml', 0), ('polyaxon/datatile', 0.5421066284179688, 'pandas', 2), ('guyallard/markov_clustering', 0.5356784462928772, 'graph', 0), ('sympy/sympy', 0.5355417132377625, 'math', 0), ('xplainable/xplainable', 0.5327098965644836, 'ml-interpretability', 3), ('rasbt/machine-learning-book', 0.5305891036987305, 'study', 1), ('teamhg-memex/eli5', 0.5276551842689514, 'ml', 2), ('csinva/imodels', 0.525899350643158, 'ml', 3), ('numpy/numpy', 0.525807797908783, 'math', 0), ('nccr-itmo/fedot', 0.5258017778396606, 'ml-ops', 1), ('ta-lib/ta-lib-python', 0.5245856642723083, 'finance', 0), ('clips/pattern', 0.524055540561676, 'nlp', 1), ('thealgorithms/python', 0.5219714641571045, 'study', 0), ('huggingface/datasets', 0.5215214490890503, 'nlp', 1), ('feast-dev/feast', 0.5212818384170532, 'ml-ops', 2), ('crflynn/stochastic', 0.5197334885597229, 'sim', 0), ('rasbt/stat451-machine-learning-fs20', 0.5173183083534241, 'study', 0), ('lightly-ai/lightly', 0.5172454714775085, 'ml', 1), ('dagworks-inc/hamilton', 0.514525830745697, 'ml-ops', 3), ('dylanhogg/awesome-python', 0.5138348937034607, 'study', 2), ('mwaskom/seaborn', 0.5135470628738403, 'viz', 1), ('merantix-momentum/squirrel-core', 0.5131182670593262, 'ml', 2), ('yzhao062/pyod', 0.5111293196678162, 'data', 3), ('gbeced/pyalgotrade', 0.5099478363990784, 'finance', 0), ('xl0/lovely-numpy', 0.5066837072372437, 'util', 1), ('keon/algorithms', 0.5060738921165466, 'util', 0), ('ml-tooling/opyrator', 0.5052728056907654, 'viz', 1), ('wesm/pydata-book', 0.5047890543937683, 'study', 0), ('mdbloice/augmentor', 0.5044978260993958, 'ml', 1), ('sloria/textblob', 0.5042425990104675, 'nlp', 0), ('stan-dev/pystan', 0.5038464665412903, 'ml', 0), ('tensorflow/tensorflow', 0.5015178918838501, 'ml-dl', 1), ('skops-dev/skops', 0.5013717412948608, 'ml-ops', 1), ('gerdm/prml', 0.5011841058731079, 'study', 1), ('mlflow/mlflow', 0.5004898905754089, 'ml-ops', 1), ('explosion/spacy', 0.5003823637962341, 'nlp', 2), ('norvig/pytudes', 0.5002601742744446, 'util', 0)]

util

https://github.com/ggerganov/whisper.cpp

[]

[]

[]

ggerganov/whisper.cpp

whisper.cpp

C

Port of OpenAI's Whisper model in C/C++

ggerganov

2024-01-14

2022-09-25

Port of OpenAI's Whisper model in C/C++

['inference', 'openai', 'speech-recognition', 'speech-to-text', 'transformer', 'whisper']

['inference', 'openai', 'speech-recognition', 'speech-to-text', 'transformer', 'whisper']

2024-01-13

[('sanchit-gandhi/whisper-jax', 0.6906029582023621, 'ml', 3), ('m-bain/whisperx', 0.582147479057312, 'nlp', 3), ('vaibhavs10/insanely-fast-whisper', 0.5495933890342712, 'llm', 1), ('huggingface/transformers', 0.5125561356544495, 'nlp', 2)]

diffusion

https://github.com/automatic1111/stable-diffusion-webui

[]

[]

[]

automatic1111/stable-diffusion-webui

stable-diffusion-webui

Python

Stable Diffusion web UI

automatic1111

2024-01-14

2022-08-22

Stable Diffusion web UI

['ai', 'ai-art', 'deep-learning', 'diffusion', 'gradio', 'image-generation', 'image2image', 'img2img', 'pytorch', 'stable-diffusion', 'text2image', 'torch', 'txt2img', 'unstable', 'upscaling', 'web']

['ai', 'ai-art', 'deep-learning', 'diffusion', 'gradio', 'image-generation', 'image2image', 'img2img', 'pytorch', 'stable-diffusion', 'text2image', 'torch', 'txt2img', 'unstable', 'upscaling', 'web']

2023-12-16

[('carson-katri/dream-textures', 0.7420854568481445, 'diffusion', 3), ('thereforegames/unprompted', 0.7207518219947815, 'diffusion', 7), ('mlc-ai/web-stable-diffusion', 0.7200703024864197, 'diffusion', 2), ('invoke-ai/invokeai', 0.6788343191146851, 'diffusion', 5), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6511092185974121, 'web', 0), ('stability-ai/stability-sdk', 0.6460036039352417, 'diffusion', 2), ('saharmor/dalle-playground', 0.6440442204475403, 'diffusion', 1), ('comfyanonymous/comfyui', 0.6438121199607849, 'diffusion', 2), ('civitai/sd_civitai_extension', 0.6364338397979736, 'llm', 0), ('nateraw/stable-diffusion-videos', 0.6116631627082825, 'diffusion', 2), ('bentoml/onediffusion', 0.6026777625083923, 'diffusion', 2), ('open-mmlab/mmediting', 0.5722965002059937, 'ml', 5), ('xavierxiao/dreambooth-stable-diffusion', 0.5680199861526489, 'diffusion', 2), ('jina-ai/discoart', 0.560263454914093, 'diffusion', 2), ('huggingface/diffusers', 0.552635669708252, 'diffusion', 7), ('lucidrains/imagen-pytorch', 0.5401318073272705, 'ml-dl', 1), ('compvis/stable-diffusion', 0.5289968252182007, 'diffusion', 2), ('sanster/lama-cleaner', 0.5176366567611694, 'ml-dl', 2), ('ashawkey/stable-dreamfusion', 0.5163194537162781, 'diffusion', 1), ('timothybrooks/instruct-pix2pix', 0.5089647769927979, 'diffusion', 0), ('opentensor/bittensor', 0.5035480856895447, 'ml', 4), ('davidadsp/generative_deep_learning_2nd_edition', 0.5017077922821045, 'study', 2)]

diffusion

https://github.com/invoke-ai/invokeai

[]

[]

['invokeai']

invoke-ai/invokeai

InvokeAI

TypeScript

https://invoke-ai.github.io/InvokeAI/

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

invoke-ai

2024-01-14

2022-08-17

https://avatars.githubusercontent.com/u/113954515?v=4

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'stable-diffusion', 'txt2img', 'windows']

['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'stable-diffusion', 'txt2img', 'windows']

2024-01-14

[('automatic1111/stable-diffusion-webui', 0.6788343191146851, 'diffusion', 5), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6325607895851135, 'web', 0), ('carson-katri/dream-textures', 0.6296207904815674, 'diffusion', 2), ('saharmor/dalle-playground', 0.6060563921928406, 'diffusion', 2), ('stability-ai/stability-sdk', 0.5937549471855164, 'diffusion', 4), ('nateraw/stable-diffusion-videos', 0.5912322402000427, 'diffusion', 2), ('open-mmlab/mmediting', 0.5879208445549011, 'ml', 2), ('jina-ai/discoart', 0.55684894323349, 'diffusion', 3), ('thereforegames/unprompted', 0.553229808807373, 'diffusion', 4), ('sanster/lama-cleaner', 0.551865816116333, 'ml-dl', 3), ('lucidrains/deep-daze', 0.5158758163452148, 'ml', 1), ('microsoft/i-code', 0.5126618146896362, 'ml', 0), ('bentoml/bentoml', 0.5075830221176147, 'ml-ops', 0), ('transformeroptimus/superagi', 0.5029866695404053, 'llm', 1)]

llm

https://github.com/microsoft/autogen

['autonomous-agents']

[]

[]

microsoft/autogen

autogen

Jupyter Notebook

https://microsoft.github.io/autogen/

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

microsoft

2024-01-14

2023-08-18

https://avatars.githubusercontent.com/u/6154722?v=4

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

['agent-based-framework', 'agent-oriented-programming', 'chat', 'chat-application', 'chatbot', 'chatgpt', 'gpt', 'gpt-35-turbo', 'gpt-4', 'llm-agent', 'llm-framework', 'llm-inference', 'llmops']

['agent-based-framework', 'agent-oriented-programming', 'autonomous-agents', 'chat', 'chat-application', 'chatbot', 'chatgpt', 'gpt', 'gpt-35-turbo', 'gpt-4', 'llm-agent', 'llm-framework', 'llm-inference', 'llmops']

2024-01-14

[('nomic-ai/gpt4all', 0.716184139251709, 'llm', 2), ('run-llama/rags', 0.713228166103363, 'llm', 2), ('lm-sys/fastchat', 0.7086613774299622, 'llm', 1), ('xtekky/gpt4free', 0.7057386040687561, 'llm', 4), ('next-gpt/next-gpt', 0.7022780776023865, 'llm', 2), ('lianjiatech/belle', 0.6912463903427124, 'llm', 0), ('guidance-ai/guidance', 0.6821621656417847, 'llm', 1), ('hwchase17/langchain', 0.6627272963523865, 'llm', 1), ('hannibal046/awesome-llm', 0.662517249584198, 'study', 1), ('mlc-ai/web-llm', 0.661967396736145, 'llm', 1), ('lupantech/chameleon-llm', 0.661708652973175, 'llm', 2), ('embedchain/embedchain', 0.6612349152565002, 'llm', 1), ('openlmlab/moss', 0.6363752484321594, 'llm', 1), ('thudm/chatglm2-6b', 0.6360533237457275, 'llm', 0), ('deepset-ai/haystack', 0.6323454976081848, 'llm', 1), ('aiwaves-cn/agents', 0.6282492280006409, 'nlp', 1), ('dylanhogg/llmgraph', 0.6262103915214539, 'ml', 1), ('fasteval/fasteval', 0.6213794350624084, 'llm', 0), ('databrickslabs/dolly', 0.6176787614822388, 'llm', 2), ('intel/intel-extension-for-transformers', 0.6164318323135376, 'perf', 2), ('bobazooba/xllm', 0.6154872179031372, 'llm', 3), ('oobabooga/text-generation-webui', 0.6154066920280457, 'llm', 0), ('killianlucas/open-interpreter', 0.61408931016922, 'llm', 2), ('chatarena/chatarena', 0.6130094528198242, 'llm', 2), ('young-geng/easylm', 0.6095622181892395, 'llm', 1), ('langchain-ai/langgraph', 0.6005686521530151, 'llm', 0), ('guardrails-ai/guardrails', 0.6005452871322632, 'llm', 0), ('promptslab/promptify', 0.5999529957771301, 'nlp', 2), ('blinkdl/chatrwkv', 0.5980231761932373, 'llm', 2), ('li-plus/chatglm.cpp', 0.5944321751594543, 'llm', 0), ('eth-sri/lmql', 0.5932376384735107, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5929686427116394, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5876283049583435, 'llm', 1), ('hiyouga/llama-factory', 0.5876283049583435, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.5874255895614624, 'llm', 2), ('sjtu-ipads/powerinfer', 0.5836211442947388, 'llm', 1), ('mnotgod96/appagent', 0.5801144242286682, 'llm', 1), ('pathwaycom/llm-app', 0.5762929916381836, 'llm', 2), ('ai21labs/lm-evaluation', 0.5751771926879883, 'llm', 0), ('microsoft/lora', 0.5736963152885437, 'llm', 0), ('explosion/spacy-llm', 0.573653519153595, 'llm', 1), ('bigscience-workshop/petals', 0.5733419060707092, 'data', 2), ('jina-ai/thinkgpt', 0.5731350779533386, 'llm', 0), ('farizrahman4u/loopgpt', 0.5695356726646423, 'llm', 2), ('cg123/mergekit', 0.5664942264556885, 'llm', 0), ('mayooear/gpt4-pdf-chatbot-langchain', 0.5650250911712646, 'llm', 0), ('salesforce/xgen', 0.5639118552207947, 'llm', 0), ('huggingface/text-generation-inference', 0.5635223984718323, 'llm', 1), ('prefecthq/marvin', 0.5600186586380005, 'nlp', 1), ('rasahq/rasa', 0.5599412322044373, 'llm', 1), ('agenta-ai/agenta', 0.557157039642334, 'llm', 2), ('cheshire-cat-ai/core', 0.5565327405929565, 'llm', 1), ('mmabrouk/chatgpt-wrapper', 0.5563012361526489, 'llm', 2), ('microsoft/lmops', 0.555975079536438, 'llm', 1), ('reasoning-machines/pal', 0.5551219582557678, 'llm', 0), ('nebuly-ai/nebullvm', 0.554498553276062, 'perf', 0), ('zilliztech/gptcache', 0.5542406439781189, 'llm', 3), ('freedomintelligence/llmzoo', 0.553227961063385, 'llm', 0), ('minimaxir/simpleaichat', 0.5520246028900146, 'llm', 1), ('rcgai/simplyretrieve', 0.5516322255134583, 'llm', 0), ('mlc-ai/mlc-llm', 0.5481517314910889, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5479278564453125, 'llm', 3), ('confident-ai/deepeval', 0.5460978746414185, 'testing', 2), ('deep-diver/llm-as-chatbot', 0.5456553101539612, 'llm', 1), ('ray-project/ray-llm', 0.5439698100090027, 'llm', 2), ('humanoidagents/humanoidagents', 0.5427013039588928, 'sim', 1), ('geekan/metagpt', 0.5422032475471497, 'llm', 1), ('kyegomez/tree-of-thoughts', 0.5404730439186096, 'llm', 1), ('juncongmoo/pyllama', 0.5394055247306824, 'llm', 0), ('lchen001/llmdrift', 0.5390075445175171, 'llm', 0), ('microsoft/promptflow', 0.5367021560668945, 'llm', 2), ('optimalscale/lmflow', 0.5350280404090881, 'llm', 1), ('shishirpatil/gorilla', 0.5344410538673401, 'llm', 1), ('microsoft/promptcraft-robotics', 0.5330193638801575, 'sim', 1), ('argilla-io/argilla', 0.5329903364181519, 'nlp', 1), ('vllm-project/vllm', 0.5299646854400635, 'llm', 2), ('microsoft/generative-ai-for-beginners', 0.5277578234672546, 'study', 2), ('infinitylogesh/mutate', 0.5268688201904297, 'nlp', 0), ('nvidia/tensorrt-llm', 0.525221586227417, 'viz', 0), ('spcl/graph-of-thoughts', 0.5202249884605408, 'llm', 0), ('lucidrains/toolformer-pytorch', 0.5196950435638428, 'llm', 0), ('operand/agency', 0.5193168520927429, 'llm', 2), ('tigerlab-ai/tiger', 0.5187461376190186, 'llm', 0), ('llmware-ai/llmware', 0.5167933702468872, 'llm', 0), ('chainlit/chainlit', 0.5154480338096619, 'llm', 1), ('openai/gpt-discord-bot', 0.5150191783905029, 'llm', 0), ('prefecthq/langchain-prefect', 0.5145857334136963, 'llm', 0), ('neulab/prompt2model', 0.5132074356079102, 'llm', 0), ('deeppavlov/deeppavlov', 0.5114785432815552, 'nlp', 1), ('bigscience-workshop/megatron-deepspeed', 0.5109838843345642, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5109838843345642, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5107211470603943, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5106921792030334, 'study', 0), ('alphasecio/langchain-examples', 0.5106598138809204, 'llm', 0), ('togethercomputer/redpajama-data', 0.5106208920478821, 'llm', 0), ('minimaxir/gpt-2-simple', 0.5105615258216858, 'llm', 0), ('mindsdb/mindsdb', 0.5091248750686646, 'data', 2), ('whu-zqh/chatgpt-vs.-bert', 0.5087406039237976, 'llm', 1), ('explosion/spacy-transformers', 0.5083666443824768, 'llm', 0), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5033249258995056, 'llm', 0), ('yueyu1030/attrprompt', 0.5033207535743713, 'llm', 0), ('nvidia/nemo-guardrails', 0.5011264681816101, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5008726119995117, 'llm', 0), ('zhudotexe/kani', 0.5002747178077698, 'llm', 2)]

util

https://github.com/python/cpython

['cpython']

[]

[]

python/cpython

cpython

Python

https://www.python.org/

The Python programming language

python

2024-01-14

2017-02-10

https://avatars.githubusercontent.com/u/1525981?v=4

The Python programming language

[]

['cpython']

2024-01-13

[('pypy/pypy', 0.7743640542030334, 'util', 1), ('pyston/pyston', 0.7426720261573792, 'util', 0), ('brandtbucher/specialist', 0.7123744487762451, 'perf', 1), ('faster-cpython/tools', 0.7096896171569824, 'perf', 1), ('faster-cpython/ideas', 0.7051501274108887, 'perf', 1), ('cython/cython', 0.6992247700691223, 'util', 1), ('pytoolz/toolz', 0.6690644025802612, 'util', 0), ('adafruit/circuitpython', 0.6647933125495911, 'util', 1), ('eleutherai/pyfra', 0.6574167013168335, 'ml', 0), ('wesm/pydata-book', 0.6508677005767822, 'study', 0), ('sympy/sympy', 0.6439580321311951, 'math', 0), ('ipython/ipyparallel', 0.6357694268226624, 'perf', 0), ('fchollet/deep-learning-with-python-notebooks', 0.6243636608123779, 'study', 0), ('norvig/pytudes', 0.6239404082298279, 'util', 0), ('urwid/urwid', 0.613335907459259, 'term', 0), ('cohere-ai/notebooks', 0.603980302810669, 'llm', 0), ('hoffstadt/dearpygui', 0.6008025407791138, 'gui', 0), ('pyglet/pyglet', 0.5984718799591064, 'gamedev', 0), ('stanfordnlp/dspy', 0.5970360040664673, 'llm', 0), ('pyscript/pyscript-cli', 0.5967158079147339, 'web', 0), ('mynameisfiber/high_performance_python_2e', 0.5944276452064514, 'study', 0), ('rustpython/rustpython', 0.5933462977409363, 'util', 0), ('ipython/ipython', 0.5930864810943604, 'util', 0), ('masoniteframework/masonite', 0.5917008519172668, 'web', 0), ('brandon-rhodes/python-patterns', 0.5899462103843689, 'util', 0), ('amaargiru/pyroad', 0.5899056792259216, 'study', 0), ('google/latexify_py', 0.5829751491546631, 'util', 0), ('landscapeio/prospector', 0.5828319787979126, 'util', 0), ('fastai/fastcore', 0.5814699530601501, 'util', 0), ('facebookincubator/cinder', 0.5806695222854614, 'perf', 1), ('pexpect/pexpect', 0.5793547630310059, 'util', 0), ('rasbt/watermark', 0.5787110328674316, 'util', 0), ('agronholm/apscheduler', 0.5778864622116089, 'util', 0), ('webpy/webpy', 0.5767532587051392, 'web', 0), ('has2k1/plotnine', 0.5753418803215027, 'viz', 0), ('google/pyglove', 0.5745415687561035, 'util', 0), ('gotcha/ipdb', 0.5667539238929749, 'debug', 0), ('pygments/pygments', 0.5650127530097961, 'util', 0), ('p403n1x87/austin', 0.5600637197494507, 'profiling', 0), ('instagram/libcst', 0.5573931932449341, 'util', 0), ('micropython/micropython', 0.5564913153648376, 'util', 0), ('pygamelib/pygamelib', 0.5532333850860596, 'gamedev', 0), ('timofurrer/awesome-asyncio', 0.55228590965271, 'study', 0), ('pympler/pympler', 0.5499320030212402, 'perf', 0), ('markshannon/faster-cpython', 0.549221932888031, 'perf', 0), ('hhatto/autopep8', 0.5486846566200256, 'util', 0), ('rubik/radon', 0.5486265420913696, 'util', 0), ('numpy/numpy', 0.5478320121765137, 'math', 0), ('cuemacro/finmarketpy', 0.5471070408821106, 'finance', 0), ('tiangolo/typer', 0.5462526082992554, 'term', 0), ('nedbat/coveragepy', 0.5459318161010742, 'testing', 0), ('imageio/imageio', 0.5454882979393005, 'util', 0), ('connorferster/handcalcs', 0.5454192161560059, 'jupyter', 0), ('scikit-build/scikit-build', 0.5448643565177917, 'ml', 1), ('artemyk/dynpy', 0.5442706346511841, 'sim', 0), ('1200wd/bitcoinlib', 0.5435817241668701, 'crypto', 0), ('xrudelis/pytrait', 0.5432665944099426, 'util', 0), ('probml/pyprobml', 0.5431109666824341, 'ml', 0), ('willmcgugan/textual', 0.542621910572052, 'term', 0), ('pypa/hatch', 0.5416925549507141, 'util', 0), ('openai/triton', 0.5405258536338806, 'util', 0), ('dosisod/refurb', 0.5401459336280823, 'util', 0), ('beeware/toga', 0.5390973091125488, 'gui', 0), ('rstudio/py-shiny', 0.536689817905426, 'web', 0), ('klen/muffin', 0.5362712144851685, 'web', 0), ('prompt-toolkit/ptpython', 0.5359960794448853, 'util', 0), ('opengeos/leafmap', 0.5353587865829468, 'gis', 0), ('jakevdp/pythondatasciencehandbook', 0.5353503823280334, 'study', 0), ('jquast/blessed', 0.5344061255455017, 'term', 0), ('pyo3/maturin', 0.5341805219650269, 'util', 1), ('sourcery-ai/sourcery', 0.5331263542175293, 'util', 0), ('evhub/coconut', 0.5319302678108215, 'util', 0), ('cherrypy/cherrypy', 0.5312963724136353, 'web', 0), ('alexmojaki/snoop', 0.5296629667282104, 'debug', 0), ('wxwidgets/phoenix', 0.5291924476623535, 'gui', 0), ('joblib/joblib', 0.5285337567329407, 'util', 0), ('primal100/pybitcointools', 0.5267580151557922, 'crypto', 0), ('dylanhogg/awesome-python', 0.5265739560127258, 'study', 0), ('altair-viz/altair', 0.526507556438446, 'viz', 0), ('jupyter/nbformat', 0.5262817740440369, 'jupyter', 0), ('goldmansachs/gs-quant', 0.5255565643310547, 'finance', 0), ('python-rope/rope', 0.5254427194595337, 'util', 0), ('modularml/mojo', 0.5251497626304626, 'util', 0), ('pylons/pyramid', 0.5238844752311707, 'web', 0), ('exaloop/codon', 0.5238469839096069, 'perf', 0), ('r0x0r/pywebview', 0.5236340165138245, 'gui', 0), ('jupyter-lsp/jupyterlab-lsp', 0.523478627204895, 'jupyter', 0), ('renpy/renpy', 0.5222944617271423, 'viz', 0), ('scrapy/scrapy', 0.52182936668396, 'data', 0), ('ta-lib/ta-lib-python', 0.5212801098823547, 'finance', 0), ('gbeced/pyalgotrade', 0.520494818687439, 'finance', 0), ('samuelcolvin/python-devtools', 0.5196568965911865, 'debug', 0), ('xonsh/xonsh', 0.5193564891815186, 'util', 0), ('google/jax', 0.5174630284309387, 'ml', 0), ('pyparsing/pyparsing', 0.5173945426940918, 'util', 0), ('plotly/plotly.py', 0.5148897171020508, 'viz', 0), ('facebook/pyre-check', 0.5143840312957764, 'typing', 0), ('sqlalchemy/mako', 0.5141631960868835, 'template', 0), ('pyomo/pyomo', 0.5133528709411621, 'math', 0), ('paramiko/paramiko', 0.5128664374351501, 'util', 0), ('google/python-fire', 0.5122049450874329, 'term', 0), ('microsoft/pycodegpt', 0.5116127133369446, 'llm', 0), ('astral-sh/ruff', 0.5113768577575684, 'util', 0), ('huggingface/huggingface_hub', 0.5113198757171631, 'ml', 0), ('ageron/handson-ml2', 0.5082079172134399, 'ml', 0), ('numba/llvmlite', 0.5075445175170898, 'util', 0), ('malloydata/malloy-py', 0.5069926381111145, 'data', 0), ('erotemic/ubelt', 0.5061374306678772, 'util', 0), ('pypa/installer', 0.505916953086853, 'util', 0), ('keon/algorithms', 0.5038732290267944, 'util', 0), ('realpython/python-guide', 0.5037524104118347, 'study', 0), ('pdm-project/pdm', 0.5036362409591675, 'util', 0), ('ipython/ipykernel', 0.5019452571868896, 'util', 0), ('cosmicpython/book', 0.5018055438995361, 'study', 0), ('holoviz/panel', 0.5009852051734924, 'viz', 0), ('scipy/scipy', 0.500981867313385, 'math', 0), ('maartenbreddels/ipyvolume', 0.5007892847061157, 'jupyter', 0), ('pandas-dev/pandas', 0.5006305575370789, 'pandas', 0)]

llm

https://github.com/xtekky/gpt4free

[]

[]

[]

xtekky/gpt4free

gpt4free

Python

https://discord.gg/XfybzPXPH5

The official gpt4free repository | various collection of powerful language models

xtekky

2024-01-14

2023-03-29

The official gpt4free repository | various collection of powerful language models

['chatbot', 'chatbots', 'chatgpt', 'chatgpt-4', 'chatgpt-api', 'chatgpt-free', 'chatgpt4', 'free-gpt', 'gpt', 'gpt-3', 'gpt-4', 'gpt3', 'gpt4', 'gpt4-api', 'language-model', 'openai', 'openai-api', 'openai-chatgpt', 'reverse-engineering']

['chatbot', 'chatbots', 'chatgpt', 'chatgpt-4', 'chatgpt-api', 'chatgpt-free', 'chatgpt4', 'free-gpt', 'gpt', 'gpt-3', 'gpt-4', 'gpt3', 'gpt4', 'gpt4-api', 'language-model', 'openai', 'openai-api', 'openai-chatgpt', 'reverse-engineering']

2024-01-13

[('run-llama/rags', 0.7228777408599854, 'llm', 3), ('microsoft/autogen', 0.7057386040687561, 'llm', 4), ('openai/openai-cookbook', 0.6899942755699158, 'ml', 4), ('blinkdl/chatrwkv', 0.6857205033302307, 'llm', 3), ('killianlucas/open-interpreter', 0.6677355766296387, 'llm', 2), ('next-gpt/next-gpt', 0.6495850086212158, 'llm', 2), ('mayooear/gpt4-pdf-chatbot-langchain', 0.642866313457489, 'llm', 2), ('lianjiatech/belle', 0.6404276490211487, 'llm', 0), ('shishirpatil/gorilla', 0.6333321332931519, 'llm', 2), ('hannibal046/awesome-llm', 0.6301591992378235, 'study', 2), ('embedchain/embedchain', 0.6268326640129089, 'llm', 2), ('farizrahman4u/loopgpt', 0.617682158946991, 'llm', 3), ('lm-sys/fastchat', 0.610226035118103, 'llm', 2), ('minimaxir/gpt-2-simple', 0.604681670665741, 'llm', 1), ('bobazooba/xllm', 0.6042348742485046, 'llm', 4), ('promptslab/promptify', 0.6027716398239136, 'nlp', 5), ('lupantech/chameleon-llm', 0.5982718467712402, 'llm', 4), ('mmabrouk/chatgpt-wrapper', 0.5910773277282715, 'llm', 6), ('openlmlab/moss', 0.5782349705696106, 'llm', 2), ('langchain-ai/opengpts', 0.5756799578666687, 'llm', 0), ('mlc-ai/web-llm', 0.5752508640289307, 'llm', 2), ('nomic-ai/gpt4all', 0.5740395784378052, 'llm', 2), ('guardrails-ai/guardrails', 0.5575733184814453, 'llm', 2), ('openai/tiktoken', 0.5542630553245544, 'nlp', 1), ('togethercomputer/openchatkit', 0.5519025325775146, 'nlp', 1), ('haotian-liu/llava', 0.5506402850151062, 'llm', 3), ('vision-cair/minigpt-4', 0.548042356967926, 'llm', 0), ('databrickslabs/dolly', 0.5452688932418823, 'llm', 2), ('minimaxir/simpleaichat', 0.5435710549354553, 'llm', 1), ('guidance-ai/guidance', 0.5423391461372375, 'llm', 2), ('prefecthq/marvin', 0.536582887172699, 'nlp', 3), ('eth-sri/lmql', 0.529441237449646, 'llm', 3), ('eleutherai/gpt-neo', 0.5255731344223022, 'llm', 3), ('laion-ai/open-assistant', 0.5251535177230835, 'llm', 2), ('bigscience-workshop/megatron-deepspeed', 0.5237749814987183, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5237749814987183, 'llm', 0), ('rasahq/rasa', 0.523765504360199, 'llm', 2), ('lucidrains/toolformer-pytorch', 0.5187653303146362, 'llm', 1), ('fasteval/fasteval', 0.5166919827461243, 'llm', 0), ('openai/openai-python', 0.515657901763916, 'util', 1), ('whu-zqh/chatgpt-vs.-bert', 0.5137408971786499, 'llm', 1), ('h2oai/h2ogpt', 0.5131638646125793, 'llm', 2), ('oobabooga/text-generation-webui', 0.5130376815795898, 'llm', 1), ('continuum-llms/chatgpt-memory', 0.5107817053794861, 'llm', 2), ('microsoft/lora', 0.5105166435241699, 'llm', 2), ('dylanhogg/llmgraph', 0.509717583656311, 'ml', 1), ('intel/intel-extension-for-transformers', 0.5091184973716736, 'perf', 1), ('ai4finance-foundation/fingpt', 0.5088690519332886, 'finance', 2), ('mnotgod96/appagent', 0.5081965923309326, 'llm', 2), ('mindsdb/mindsdb', 0.5054675936698914, 'data', 2), ('microsoft/chatgpt-robot-manipulation-prompts', 0.50308758020401, 'llm', 0), ('imartinez/privategpt', 0.5020104646682739, 'llm', 1)]

llm

https://github.com/lm-sys/fastchat

['chatbot', 'evaluation', 'language-model']

[]

['fschat']

lm-sys/fastchat

FastChat

Python

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

lm-sys

2024-01-14

2023-03-19

https://avatars.githubusercontent.com/u/126381704?v=4

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

[]

['chatbot', 'evaluation', 'language-model']

2024-01-10

[('ai21labs/lm-evaluation', 0.7379257678985596, 'llm', 1), ('fasteval/fasteval', 0.7203408479690552, 'llm', 1), ('microsoft/autogen', 0.7086613774299622, 'llm', 1), ('openbmb/toolbench', 0.7016268968582153, 'llm', 1), ('freedomintelligence/llmzoo', 0.6950333714485168, 'llm', 1), ('openlmlab/moss', 0.6857122778892517, 'llm', 1), ('databrickslabs/dolly', 0.6816812753677368, 'llm', 1), ('rasahq/rasa', 0.6786299347877502, 'llm', 1), ('nomic-ai/gpt4all', 0.6753419041633606, 'llm', 2), ('young-geng/easylm', 0.6548444628715515, 'llm', 2), ('embedchain/embedchain', 0.6472465991973877, 'llm', 0), ('ctlllll/llm-toolmaker', 0.6395042538642883, 'llm', 1), ('hannibal046/awesome-llm', 0.6385653614997864, 'study', 1), ('aiwaves-cn/agents', 0.6372155547142029, 'nlp', 1), ('cheshire-cat-ai/core', 0.6361826062202454, 'llm', 1), ('rcgai/simplyretrieve', 0.6361554265022278, 'llm', 0), ('guidance-ai/guidance', 0.6356953382492065, 'llm', 1), ('run-llama/rags', 0.6331033110618591, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.6321564316749573, 'nlp', 0), ('juncongmoo/pyllama', 0.6291965842247009, 'llm', 0), ('langchain-ai/chat-langchain', 0.628669023513794, 'llm', 0), ('thudm/chatglm2-6b', 0.6237083673477173, 'llm', 0), ('next-gpt/next-gpt', 0.6228191256523132, 'llm', 0), ('deepset-ai/haystack', 0.6203048825263977, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.6176435947418213, 'llm', 1), ('mlc-ai/web-llm', 0.6169783473014832, 'llm', 1), ('blinkdl/chatrwkv', 0.6127018928527832, 'llm', 2), ('chatarena/chatarena', 0.6125940680503845, 'llm', 0), ('xtekky/gpt4free', 0.610226035118103, 'llm', 2), ('lupantech/chameleon-llm', 0.6096516251564026, 'llm', 1), ('lianjiatech/belle', 0.609362006187439, 'llm', 0), ('deeppavlov/deeppavlov', 0.606029212474823, 'nlp', 1), ('hwchase17/langchain', 0.6048544645309448, 'llm', 2), ('eleutherai/lm-evaluation-harness', 0.6016319394111633, 'llm', 2), ('conceptofmind/toolformer', 0.5984368920326233, 'llm', 1), ('larsbaunwall/bricky', 0.5944631099700928, 'llm', 0), ('togethercomputer/openchatkit', 0.5938577651977539, 'nlp', 1), ('llmware-ai/llmware', 0.5916407704353333, 'llm', 0), ('baichuan-inc/baichuan-13b', 0.5909283757209778, 'llm', 0), ('argilla-io/argilla', 0.5902546644210815, 'nlp', 0), ('bigscience-workshop/biomedical', 0.589521050453186, 'data', 0), ('togethercomputer/redpajama-data', 0.5893017053604126, 'llm', 0), ('openlmlab/leval', 0.5838186740875244, 'llm', 2), ('cg123/mergekit', 0.58380526304245, 'llm', 0), ('zhudotexe/kani', 0.579633891582489, 'llm', 0), ('facebookresearch/parlai', 0.5788213610649109, 'nlp', 0), ('explosion/spacy-models', 0.5767900943756104, 'nlp', 0), ('oobabooga/text-generation-webui', 0.5752599835395813, 'llm', 1), ('srush/minichain', 0.572079062461853, 'llm', 0), ('killianlucas/open-interpreter', 0.5708563923835754, 'llm', 0), ('eleutherai/the-pile', 0.568549394607544, 'data', 0), ('yueyu1030/attrprompt', 0.5685467720031738, 'llm', 0), ('confident-ai/deepeval', 0.5658591985702515, 'testing', 2), ('paddlepaddle/paddlenlp', 0.5656995177268982, 'llm', 0), ('nvidia/nemo', 0.5640174150466919, 'nlp', 1), ('bigscience-workshop/petals', 0.5608620643615723, 'data', 1), ('openlm-research/open_llama', 0.5599814653396606, 'llm', 1), ('night-chen/toolqa', 0.5598968267440796, 'llm', 0), ('agenta-ai/agenta', 0.5597670674324036, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5581333041191101, 'llm', 1), ('gunthercox/chatterbot', 0.5577590465545654, 'nlp', 1), ('minedojo/voyager', 0.5574104189872742, 'llm', 0), ('infinitylogesh/mutate', 0.5509554743766785, 'nlp', 1), ('reasoning-machines/pal', 0.54938805103302, 'llm', 1), ('microsoft/generative-ai-for-beginners', 0.5489517450332642, 'study', 1), ('hiyouga/llama-factory', 0.5488899946212769, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5488898754119873, 'llm', 1), ('microsoft/lora', 0.5482615828514099, 'llm', 1), ('salesforce/xgen', 0.546430230140686, 'llm', 1), ('thilinarajapakse/simpletransformers', 0.5447478890419006, 'nlp', 0), ('krohling/bondai', 0.5441566109657288, 'llm', 0), ('jonasgeiping/cramming', 0.5438570976257324, 'nlp', 1), ('prefecthq/marvin', 0.5400978922843933, 'nlp', 0), ('weaviate/verba', 0.5395397543907166, 'llm', 0), ('huggingface/text-generation-inference', 0.538799524307251, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.5374524593353271, 'llm', 1), ('microsoft/unilm', 0.5365498661994934, 'nlp', 0), ('titanml/takeoff', 0.536109447479248, 'llm', 1), ('nvlabs/prismer', 0.5359172821044922, 'diffusion', 1), ('hegelai/prompttools', 0.534296989440918, 'llm', 0), ('thudm/chatglm-6b', 0.5337995290756226, 'llm', 1), ('mayooear/gpt4-pdf-chatbot-langchain', 0.5297297239303589, 'llm', 0), ('nebuly-ai/nebullvm', 0.5269201993942261, 'perf', 0), ('optimalscale/lmflow', 0.5264976620674133, 'llm', 1), ('extreme-bert/extreme-bert', 0.5264178514480591, 'llm', 1), ('minimaxir/simpleaichat', 0.526286244392395, 'llm', 0), ('guardrails-ai/guardrails', 0.525242269039154, 'llm', 0), ('langchain-ai/langgraph', 0.5237873792648315, 'llm', 0), ('explosion/spacy-llm', 0.5232176780700684, 'llm', 0), ('epfllm/meditron', 0.5228744149208069, 'llm', 1), ('keras-team/keras-nlp', 0.5216904878616333, 'nlp', 0), ('jalammar/ecco', 0.5213225483894348, 'ml-interpretability', 0), ('tigerlab-ai/tiger', 0.5211068987846375, 'llm', 0), ('ofa-sys/ofa', 0.5206315517425537, 'llm', 0), ('prefecthq/langchain-prefect', 0.5175867080688477, 'llm', 0), ('pathwaycom/llm-app', 0.5164425373077393, 'llm', 1), ('eugeneyan/obsidian-copilot', 0.5163758993148804, 'llm', 0), ('bigscience-workshop/megatron-deepspeed', 0.51581871509552, 'llm', 0), ('microsoft/megatron-deepspeed', 0.51581871509552, 'llm', 0), ('openai/tiktoken', 0.5158092975616455, 'nlp', 0), ('neulab/prompt2model', 0.5152702331542969, 'llm', 1), ('huggingface/transformers', 0.5151023864746094, 'nlp', 1), ('bigscience-workshop/promptsource', 0.514387309551239, 'nlp', 0), ('whu-zqh/chatgpt-vs.-bert', 0.5135443210601807, 'llm', 0), ('mit-han-lab/streaming-llm', 0.5120673179626465, 'llm', 0), ('neuml/txtai', 0.5114730000495911, 'nlp', 1), ('intel/intel-extension-for-transformers', 0.5099033117294312, 'perf', 1), ('dylanhogg/llmgraph', 0.5098823308944702, 'ml', 0), ('mooler0410/llmspracticalguide', 0.5060816407203674, 'study', 0), ('salesforce/blip', 0.5055869817733765, 'diffusion', 0), ('norskregnesentral/skweak', 0.5055734515190125, 'nlp', 0), ('allenai/allennlp', 0.5036823153495789, 'nlp', 0), ('jina-ai/finetuner', 0.5029986500740051, 'ml', 0), ('explosion/spacy-transformers', 0.5027205348014832, 'llm', 1), ('laion-ai/open-assistant', 0.5022433996200562, 'llm', 1), ('bobazooba/xllm', 0.5017418265342712, 'llm', 0), ('mlc-ai/mlc-llm', 0.5015469193458557, 'llm', 1), ('thudm/glm-130b', 0.5007140636444092, 'llm', 0)]

pandas

https://github.com/pandas-dev/pandas

['data-analysis', 'data-science', 'arrow', 'dataframe']

[]

[]

pandas-dev/pandas

pandas

Python

https://pandas.pydata.org

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-dev

2024-01-14

2010-08-24

https://avatars.githubusercontent.com/u/21206976?v=4

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

['alignment', 'data-analysis', 'data-science', 'flexible', 'pandas']

['alignment', 'arrow', 'data-analysis', 'data-science', 'dataframe', 'flexible', 'pandas']

2024-01-13

[('unionai-oss/pandera', 0.6850487589836121, 'pandas', 1), ('krzjoa/awesome-python-data-science', 0.6641040444374084, 'study', 2), ('man-group/dtale', 0.6628751754760742, 'viz', 3), ('pytoolz/toolz', 0.6519975066184998, 'util', 0), ('rasbt/mlxtend', 0.6480407118797302, 'ml', 1), ('python-odin/odin', 0.6475261449813843, 'util', 0), ('plotly/dash', 0.6398255825042725, 'viz', 1), ('wesm/pydata-book', 0.6384697556495667, 'study', 0), ('dylanhogg/awesome-python', 0.6308945417404175, 'study', 2), ('polyaxon/datatile', 0.6224325299263, 'pandas', 2), ('eleutherai/pyfra', 0.6219991445541382, 'ml', 0), ('rapidsai/cudf', 0.6205441355705261, 'pandas', 5), ('holoviz/panel', 0.6123045682907104, 'viz', 0), ('keon/algorithms', 0.6043705940246582, 'util', 0), ('mwaskom/seaborn', 0.6021502017974854, 'viz', 2), ('pyparsing/pyparsing', 0.5993269681930542, 'util', 0), ('alkaline-ml/pmdarima', 0.5989955067634583, 'time-series', 0), ('fastai/fastcore', 0.5918874144554138, 'util', 0), ('dagworks-inc/hamilton', 0.590579092502594, 'ml-ops', 4), ('imageio/imageio', 0.5883070826530457, 'util', 0), ('pypy/pypy', 0.5845887660980225, 'util', 0), ('stan-dev/pystan', 0.5815196633338928, 'ml', 0), ('scikit-mobility/scikit-mobility', 0.5808542966842651, 'gis', 2), ('pyeve/cerberus', 0.5807719230651855, 'data', 0), ('geopandas/geopandas', 0.5796288251876831, 'gis', 1), ('goldmansachs/gs-quant', 0.5788717865943909, 'finance', 0), ('altair-viz/altair', 0.5787591338157654, 'viz', 0), ('ydataai/ydata-profiling', 0.5782955884933472, 'pandas', 3), ('ta-lib/ta-lib-python', 0.5740821957588196, 'finance', 0), ('has2k1/plotnine', 0.5737428069114685, 'viz', 1), ('earthlab/earthpy', 0.5722144842147827, 'gis', 0), ('residentmario/geoplot', 0.5717509984970093, 'gis', 0), ('ibis-project/ibis', 0.5663455724716187, 'data', 1), ('plotly/plotly.py', 0.5662622451782227, 'viz', 0), ('kanaries/pygwalker', 0.5644711256027222, 'pandas', 3), ('ranaroussi/quantstats', 0.5643635988235474, 'finance', 0), ('cython/cython', 0.5577985048294067, 'util', 0), ('pyjanitor-devs/pyjanitor', 0.5571015477180481, 'pandas', 2), ('dlt-hub/dlt', 0.554896891117096, 'data', 0), ('sloria/textblob', 0.554803729057312, 'nlp', 0), ('featurelabs/featuretools', 0.5537092685699463, 'ml', 1), ('machow/siuba', 0.5513116717338562, 'pandas', 2), ('scikit-learn/scikit-learn', 0.5512358546257019, 'ml', 2), ('lux-org/lux', 0.5501386523246765, 'viz', 2), ('statsmodels/statsmodels', 0.5481253266334534, 'ml', 2), ('gradio-app/gradio', 0.5466943979263306, 'viz', 2), ('saulpw/visidata', 0.5462385416030884, 'term', 1), ('makepath/xarray-spatial', 0.5457472801208496, 'gis', 0), ('tkrabel/bamboolib', 0.5454512238502502, 'pandas', 1), ('pola-rs/polars', 0.5433159470558167, 'pandas', 2), ('jmcarpenter2/swifter', 0.5424719452857971, 'pandas', 1), ('joowani/binarytree', 0.5415753722190857, 'util', 0), ('scitools/iris', 0.5412265062332153, 'gis', 1), ('contextlab/hypertools', 0.5390833616256714, 'ml', 0), ('marshmallow-code/marshmallow', 0.5381511449813843, 'util', 0), ('tiangolo/sqlmodel', 0.5365090370178223, 'data', 0), ('pytables/pytables', 0.5361529588699341, 'data', 0), ('pyston/pyston', 0.5344043970108032, 'util', 0), ('vaexio/vaex', 0.5320824980735779, 'perf', 2), ('malloydata/malloy-py', 0.5308995246887207, 'data', 0), ('pycaret/pycaret', 0.5298946499824524, 'ml', 1), ('pmorissette/ffn', 0.5297597050666809, 'finance', 0), ('merantix-momentum/squirrel-core', 0.5296874046325684, 'ml', 1), ('pyqtgraph/pyqtgraph', 0.5296177268028259, 'viz', 0), ('pysal/pysal', 0.5282700061798096, 'gis', 0), ('a-r-j/graphein', 0.5266823768615723, 'sim', 0), ('gventuri/pandas-ai', 0.5250675678253174, 'pandas', 3), ('albahnsen/pycircular', 0.5248360633850098, 'math', 0), ('jakevdp/pythondatasciencehandbook', 0.5242447853088379, 'study', 1), ('rjt1990/pyflux', 0.5234712958335876, 'time-series', 0), ('tdameritrade/stumpy', 0.523211658000946, 'time-series', 1), ('delta-io/delta-rs', 0.5217164754867554, 'pandas', 1), ('google/temporian', 0.5212157368659973, 'time-series', 0), ('atsushisakai/pythonrobotics', 0.5196974277496338, 'sim', 0), ('opengeos/leafmap', 0.5185487866401672, 'gis', 1), ('firmai/atspy', 0.5182963013648987, 'time-series', 0), ('holoviz/holoviz', 0.5176126956939697, 'viz', 0), ('eventual-inc/daft', 0.5169585347175598, 'pandas', 2), ('viblo/pymunk', 0.5168660283088684, 'sim', 0), ('pemistahl/lingua-py', 0.5153101682662964, 'nlp', 0), ('raphaelquast/eomaps', 0.5139701962471008, 'gis', 0), ('domokane/financepy', 0.5133991837501526, 'finance', 0), ('1200wd/bitcoinlib', 0.5127820372581482, 'crypto', 0), ('adamerose/pandasgui', 0.5116315484046936, 'pandas', 2), ('python-rope/rope', 0.5107076168060303, 'util', 0), ('scikit-hep/awkward-1.0', 0.5098268389701843, 'data', 2), ('tobymao/sqlglot', 0.5091575384140015, 'data', 0), ('google/pytype', 0.5089789628982544, 'typing', 0), ('lk-geimfari/mimesis', 0.5089730024337769, 'data', 2), ('anitagraser/movingpandas', 0.5086138248443604, 'gis', 0), ('jovianml/opendatasets', 0.5063053965568542, 'data', 1), ('mito-ds/monorepo', 0.5044918656349182, 'jupyter', 3), ('apache/arrow', 0.5044839382171631, 'data', 3), ('twopirllc/pandas-ta', 0.5036715269088745, 'finance', 2), ('hi-primus/optimus', 0.5029491782188416, 'ml-ops', 2), ('clips/pattern', 0.5012263655662537, 'nlp', 0), ('python/cpython', 0.5006305575370789, 'util', 0), ('cuemacro/finmarketpy', 0.5004711747169495, 'finance', 0)]

llm

https://github.com/killianlucas/open-interpreter

[]

[]

[]

killianlucas/open-interpreter

open-interpreter

Python

http://openinterpreter.com/

A natural language interface for computers

killianlucas

2024-01-14

2023-07-14

A natural language interface for computers

['chatgpt', 'gpt-4', 'interpreter', 'javascript', 'nodejs']

['chatgpt', 'gpt-4', 'interpreter', 'javascript', 'nodejs']

2024-01-14

[('run-llama/rags', 0.6841922998428345, 'llm', 1), ('xtekky/gpt4free', 0.6677355766296387, 'llm', 2), ('mayooear/gpt4-pdf-chatbot-langchain', 0.6425415277481079, 'llm', 0), ('embedchain/embedchain', 0.6413992643356323, 'llm', 1), ('minimaxir/simpleaichat', 0.6259564757347107, 'llm', 1), ('microsoft/autogen', 0.61408931016922, 'llm', 2), ('openai/openai-cookbook', 0.6033370494842529, 'ml', 2), ('mlc-ai/web-llm', 0.6023691892623901, 'llm', 1), ('guidance-ai/guidance', 0.6002689003944397, 'llm', 1), ('blinkdl/chatrwkv', 0.6001401543617249, 'llm', 1), ('openlmlab/moss', 0.5889337062835693, 'llm', 1), ('promptslab/promptify', 0.5764856338500977, 'nlp', 2), ('lm-sys/fastchat', 0.5708563923835754, 'llm', 0), ('lupantech/chameleon-llm', 0.5703567862510681, 'llm', 2), ('togethercomputer/openchatkit', 0.570201575756073, 'nlp', 0), ('databrickslabs/dolly', 0.559283971786499, 'llm', 0), ('lianjiatech/belle', 0.5514397621154785, 'llm', 0), ('whu-zqh/chatgpt-vs.-bert', 0.5495890974998474, 'llm', 1), ('hannibal046/awesome-llm', 0.5456922054290771, 'study', 0), ('next-gpt/next-gpt', 0.5455114841461182, 'llm', 2), ('farizrahman4u/loopgpt', 0.5448848605155945, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.5440534949302673, 'nlp', 0), ('eth-sri/lmql', 0.5410472750663757, 'llm', 1), ('fasteval/fasteval', 0.5310702919960022, 'llm', 0), ('nomic-ai/gpt4all', 0.5259217619895935, 'llm', 0), ('pyscript/pyscript', 0.5255423784255981, 'web', 1), ('bigscience-workshop/promptsource', 0.5243964195251465, 'nlp', 0), ('rasahq/rasa', 0.523764431476593, 'llm', 0), ('prefecthq/marvin', 0.5231456756591797, 'nlp', 0), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5223796367645264, 'llm', 0), ('cheshire-cat-ai/core', 0.5222368240356445, 'llm', 0), ('hwchase17/langchain', 0.5187687873840332, 'llm', 0), ('h2oai/h2ogpt', 0.5181115865707397, 'llm', 1), ('pndurette/gtts', 0.5171147584915161, 'util', 0), ('openai/chatgpt-retrieval-plugin', 0.5168745517730713, 'llm', 1), ('nltk/nltk', 0.5141381621360779, 'nlp', 0), ('shishirpatil/gorilla', 0.5121797323226929, 'llm', 1), ('laion-ai/open-assistant', 0.5087501406669617, 'llm', 1), ('jalammar/ecco', 0.5064843893051147, 'ml-interpretability', 0), ('rcgai/simplyretrieve', 0.5058812499046326, 'llm', 0), ('minimaxir/aitextgen', 0.5057147741317749, 'llm', 0), ('langchain-ai/chat-langchain', 0.5030243396759033, 'llm', 0), ('gventuri/pandas-ai', 0.5016472935676575, 'pandas', 1), ('microsoft/generative-ai-for-beginners', 0.5015537738800049, 'study', 1)]

math

https://github.com/numpy/numpy

[]

[]

[]

numpy/numpy

numpy

Python

https://numpy.org

The fundamental package for scientific computing with Python.

numpy

2024-01-13

2010-09-13

https://avatars.githubusercontent.com/u/288276?v=4

The fundamental package for scientific computing with Python.

['numpy']

['numpy']

2024-01-13

[('scipy/scipy', 0.7627651691436768, 'math', 0), ('roban/cosmolopy', 0.7280952334403992, 'sim', 0), ('pyqtgraph/pyqtgraph', 0.6338181495666504, 'viz', 1), ('marcomusy/vedo', 0.6334555745124817, 'viz', 1), ('cupy/cupy', 0.6240665912628174, 'math', 1), ('google/jax', 0.6223551034927368, 'ml', 1), ('blaze/blaze', 0.6074309349060059, 'pandas', 0), ('scikit-hep/uproot5', 0.5980868935585022, 'data', 1), ('dask/dask', 0.5977861285209656, 'perf', 1), ('enthought/mayavi', 0.5977712869644165, 'viz', 0), ('fredrik-johansson/mpmath', 0.5976458191871643, 'math', 0), ('eleutherai/pyfra', 0.5739134550094604, 'ml', 0), ('jakevdp/pythondatasciencehandbook', 0.5711981654167175, 'study', 1), ('hips/autograd', 0.5689885020256042, 'ml', 0), ('pytoolz/toolz', 0.5658218860626221, 'util', 0), ('pyston/pyston', 0.5655171871185303, 'util', 0), ('sympy/sympy', 0.5636308193206787, 'math', 0), ('luispedro/mahotas', 0.5569568872451782, 'viz', 1), ('scitools/iris', 0.5556809306144714, 'gis', 0), ('xl0/lovely-numpy', 0.5545908808708191, 'util', 1), ('ageron/handson-ml2', 0.5535714626312256, 'ml', 0), ('pypy/pypy', 0.5520856380462646, 'util', 0), ('joblib/joblib', 0.5501325130462646, 'util', 0), ('hgrecco/pint', 0.5478784441947937, 'util', 0), ('python/cpython', 0.5478320121765137, 'util', 0), ('ipython/ipyparallel', 0.5446184277534485, 'perf', 0), ('cma-es/pycma', 0.5440859198570251, 'math', 0), ('scikit-geometry/scikit-geometry', 0.5440155267715454, 'gis', 0), ('pysal/pysal', 0.5434750318527222, 'gis', 0), ('wesm/pydata-book', 0.5418587327003479, 'study', 0), ('pyscf/pyscf', 0.5385183095932007, 'sim', 0), ('connorferster/handcalcs', 0.5350318551063538, 'jupyter', 0), ('altair-viz/altair', 0.5299937129020691, 'viz', 0), ('matplotlib/matplotlib', 0.5291272401809692, 'viz', 0), ('micropython/micropython', 0.5278494358062744, 'util', 0), ('pmorissette/ffn', 0.5275481343269348, 'finance', 0), ('scikit-learn-contrib/metric-learn', 0.5264557003974915, 'ml', 0), ('scikit-learn/scikit-learn', 0.525807797908783, 'ml', 0), ('plasma-umass/scalene', 0.5247296094894409, 'profiling', 0), ('intel/intel-extension-for-pytorch', 0.5218780636787415, 'perf', 0), ('numba/numba', 0.5208587050437927, 'perf', 1), ('gradio-app/gradio', 0.5195870995521545, 'viz', 0), ('nalepae/pandarallel', 0.5160078406333923, 'pandas', 0), ('scikit-image/scikit-image', 0.5151585936546326, 'util', 0), ('cython/cython', 0.5139519572257996, 'util', 0), ('pythonspeed/filprofiler', 0.5123228430747986, 'profiling', 0), ('pycaret/pycaret', 0.5097333192825317, 'ml', 0), ('nvidia/warp', 0.5096368193626404, 'sim', 0), ('earthlab/earthpy', 0.5088415741920471, 'gis', 0), ('goldmansachs/gs-quant', 0.5077769160270691, 'finance', 0), ('huggingface/huggingface_hub', 0.5030168890953064, 'ml', 0)]

llm

https://github.com/vllm-project/vllm

[]

[]

[]

vllm-project/vllm

vllm

Python

https://docs.vllm.ai

A high-throughput and memory-efficient inference and serving engine for LLMs

vllm-project

2024-01-14

2023-02-09

https://avatars.githubusercontent.com/u/136984999?v=4

A high-throughput and memory-efficient inference and serving engine for LLMs

['gpt', 'inference', 'llama', 'llm', 'llm-serving', 'llmops', 'mlops', 'model-serving', 'pytorch', 'transformer']

['gpt', 'inference', 'llama', 'llm', 'llm-serving', 'llmops', 'mlops', 'model-serving', 'pytorch', 'transformer']

2024-01-12

[('predibase/lorax', 0.7764987945556641, 'llm', 7), ('bentoml/openllm', 0.7688142657279968, 'ml-ops', 5), ('ray-project/ray-llm', 0.7471011877059937, 'llm', 3), ('bigscience-workshop/petals', 0.6905003190040588, 'data', 4), ('sjtu-ipads/powerinfer', 0.6339587569236755, 'llm', 2), ('microsoft/jarvis', 0.632617175579071, 'llm', 1), ('microsoft/llmlingua', 0.6239213347434998, 'llm', 1), ('bobazooba/xllm', 0.6193138957023621, 'llm', 4), ('iryna-kondr/scikit-llm', 0.6003293395042419, 'llm', 1), ('titanml/takeoff', 0.5988606214523315, 'llm', 3), ('intel/intel-extension-for-transformers', 0.5956281423568726, 'perf', 0), ('salesforce/xgen', 0.58912593126297, 'llm', 1), ('artidoro/qlora', 0.5857405066490173, 'llm', 0), ('microsoft/torchscale', 0.582655668258667, 'llm', 1), ('tairov/llama2.mojo', 0.5809930562973022, 'llm', 2), ('explosion/spacy-llm', 0.5805611610412598, 'llm', 2), ('lightning-ai/lit-gpt', 0.5720106959342957, 'llm', 0), ('alpha-vllm/llama2-accessory', 0.5688649415969849, 'llm', 0), ('eugeneyan/open-llms', 0.5680029988288879, 'study', 1), ('pathwaycom/llm-app', 0.5676781535148621, 'llm', 2), ('microsoft/semantic-kernel', 0.564845621585846, 'llm', 1), ('nvidia/tensorrt-llm', 0.5639804601669312, 'viz', 0), ('young-geng/easylm', 0.5622703433036804, 'llm', 2), ('truera/trulens', 0.5575326681137085, 'llm', 2), ('deepset-ai/haystack', 0.5563030242919922, 'llm', 1), ('nebuly-ai/nebullvm', 0.5560014247894287, 'perf', 1), ('squeezeailab/squeezellm', 0.5539712309837341, 'llm', 3), ('opengenerativeai/genossgpt', 0.5517637133598328, 'llm', 4), ('tigerlab-ai/tiger', 0.5497113466262817, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5451328754425049, 'llm', 3), ('neuralmagic/deepsparse', 0.5437913537025452, 'nlp', 1), ('jerryjliu/llama_index', 0.5435225963592529, 'llm', 2), ('nomic-ai/gpt4all', 0.5424882769584656, 'llm', 0), ('zilliztech/gptcache', 0.540032148361206, 'llm', 3), ('huggingface/optimum', 0.5363191962242126, 'ml', 2), ('hiyouga/llama-factory', 0.5355907678604126, 'llm', 3), ('hiyouga/llama-efficient-tuning', 0.5355907082557678, 'llm', 3), ('mooler0410/llmspracticalguide', 0.5348982810974121, 'study', 0), ('optimalscale/lmflow', 0.5301596522331238, 'llm', 2), ('microsoft/autogen', 0.5299646854400635, 'llm', 2), ('citadel-ai/langcheck', 0.5279338359832764, 'llm', 0), ('shishirpatil/gorilla', 0.5265129208564758, 'llm', 1), ('huggingface/text-generation-inference', 0.5211599469184875, 'llm', 4), ('lianjiatech/belle', 0.5205905437469482, 'llm', 1), ('argilla-io/argilla', 0.5203900337219238, 'nlp', 2), ('skypilot-org/skypilot', 0.5184321403503418, 'llm', 1), ('lightning-ai/lit-llama', 0.5155295729637146, 'llm', 1), ('ludwig-ai/ludwig', 0.5144979357719421, 'ml-ops', 3), ('exaloop/codon', 0.5132838487625122, 'perf', 0), ('microsoft/lmops', 0.5128405094146729, 'llm', 2), ('night-chen/toolqa', 0.5108919143676758, 'llm', 0), ('microsoft/promptflow', 0.5073052048683167, 'llm', 2), ('lancedb/lancedb', 0.5034992694854736, 'data', 0), ('ray-project/llm-applications', 0.5022127032279968, 'llm', 0), ('opengvlab/omniquant', 0.5003920197486877, 'llm', 1)]

llm

https://github.com/h2oai/h2ogpt

['question-answering']

[]

[]

h2oai/h2ogpt

h2ogpt

Python

http://h2o.ai

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

h2oai

2024-01-14

2023-03-24

https://avatars.githubusercontent.com/u/1402695?v=4

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

['ai', 'chatgpt', 'embeddings', 'generative', 'gpt', 'gpt4all', 'llama2', 'llm', 'mixtral', 'pdf', 'private', 'privategpt', 'vectorstore']

['ai', 'chatgpt', 'embeddings', 'generative', 'gpt', 'gpt4all', 'llama2', 'llm', 'mixtral', 'pdf', 'private', 'privategpt', 'question-answering', 'vectorstore']

2024-01-14

[('imartinez/privategpt', 0.6058406233787537, 'llm', 0), ('mayooear/gpt4-pdf-chatbot-langchain', 0.5983483195304871, 'llm', 1), ('bhaskatripathi/pdfgpt', 0.5438480377197266, 'llm', 0), ('run-llama/rags', 0.5400290489196777, 'llm', 2), ('killianlucas/open-interpreter', 0.5181115865707397, 'llm', 1), ('openai/openai-cookbook', 0.5150684714317322, 'ml', 1), ('xtekky/gpt4free', 0.5131638646125793, 'llm', 2), ('openai/chatgpt-retrieval-plugin', 0.5049951076507568, 'llm', 1)]

web

https://github.com/django/django

[]

[]

[]

django/django

django

Python

https://www.djangoproject.com/

The Web framework for perfectionists with deadlines.

django

2024-01-14

2012-04-28

https://avatars.githubusercontent.com/u/27804?v=4

The Web framework for perfectionists with deadlines.

['apps', 'django', 'framework', 'models', 'orm', 'templates', 'views', 'web']

['apps', 'django', 'framework', 'models', 'orm', 'templates', 'views', 'web']

2024-01-12

[('emmett-framework/emmett', 0.6188867688179016, 'web', 0), ('wagtail/wagtail', 0.5955774188041687, 'web', 1), ('pallets/flask', 0.5927203893661499, 'web', 0), ('feincms/feincms', 0.5812693238258362, 'web', 0), ('stephenmcd/mezzanine', 0.5459080934524536, 'web', 1), ('bottlepy/bottle', 0.5293058156967163, 'web', 0), ('pylons/pyramid', 0.5236054062843323, 'web', 0), ('piccolo-orm/piccolo_admin', 0.5213547348976135, 'data', 0), ('indico/indico', 0.514659583568573, 'web', 0), ('reflex-dev/reflex', 0.5036461353302002, 'web', 1), ('willmcgugan/textual', 0.5026986598968506, 'term', 1), ('klen/muffin', 0.5025768876075745, 'web', 0), ('pallets/jinja', 0.5016000270843506, 'util', 1)]

viz

https://github.com/apache/superset

[]

[]

[]

apache/superset

superset

TypeScript

https://superset.apache.org/

Apache Superset is a Data Visualization and Data Exploration Platform

apache

2024-01-14

2015-07-21

https://avatars.githubusercontent.com/u/47359?v=4

Apache Superset is a Data Visualization and Data Exploration Platform

['analytics', 'apache', 'apache-superset', 'asf', 'bi', 'business-analytics', 'business-intelligence', 'data-analysis', 'data-analytics', 'data-engineering', 'data-science', 'data-visualization', 'data-viz', 'flask', 'react', 'sql-editor', 'superset']

['analytics', 'apache', 'apache-superset', 'asf', 'bi', 'business-analytics', 'business-intelligence', 'data-analysis', 'data-analytics', 'data-engineering', 'data-science', 'data-visualization', 'data-viz', 'flask', 'react', 'sql-editor', 'superset']

2024-01-13

[('apache/airflow', 0.5265361070632935, 'ml-ops', 3), ('apache/spark', 0.5012211203575134, 'data', 0)]

llm

https://github.com/laion-ai/open-assistant

[]

['2304.07327']

[]

laion-ai/open-assistant

Open-Assistant

Python

https://open-assistant.io

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

laion-ai

2024-01-14

2022-12-13

https://avatars.githubusercontent.com/u/92627801?v=4

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

['ai', 'assistant', 'chatgpt', 'discord-bot', 'language-model', 'machine-learning', 'nextjs', 'rlhf']

['ai', 'assistant', 'chatgpt', 'discord-bot', 'language-model', 'machine-learning', 'nextjs', 'rlhf']

2024-01-06

[('embedchain/embedchain', 0.618574321269989, 'llm', 2), ('togethercomputer/openchatkit', 0.6049430966377258, 'nlp', 0), ('rasahq/rasa', 0.5849403738975525, 'llm', 1), ('openai/openai-cookbook', 0.5750684142112732, 'ml', 1), ('deeppavlov/deeppavlov', 0.563031792640686, 'nlp', 2), ('langchain-ai/opengpts', 0.5428431034088135, 'llm', 1), ('run-llama/rags', 0.5403715968132019, 'llm', 1), ('larsbaunwall/bricky', 0.5381844639778137, 'llm', 2), ('xtekky/gpt4free', 0.5251535177230835, 'llm', 2), ('openai/tiktoken', 0.5184189677238464, 'nlp', 1), ('blinkdl/chatrwkv', 0.5142605900764465, 'llm', 2), ('krohling/bondai', 0.5133852362632751, 'llm', 0), ('killianlucas/open-interpreter', 0.5087501406669617, 'llm', 1), ('openlmlab/moss', 0.5062494874000549, 'llm', 2), ('lm-sys/fastchat', 0.5022433996200562, 'llm', 1), ('aimhubio/aim', 0.5019581913948059, 'ml-ops', 2), ('openai/openai-python', 0.5009532570838928, 'util', 0)]

llm

https://github.com/hpcaitech/colossalai

[]

[]

['colossalai']

hpcaitech/colossalai

ColossalAI

Python

https://www.colossalai.org

Making large AI models cheaper, faster and more accessible

hpcaitech

2024-01-14

2021-10-28

https://avatars.githubusercontent.com/u/88699314?v=4

Making large AI models cheaper, faster and more accessible

['ai', 'big-model', 'data-parallelism', 'deep-learning', 'distributed-computing', 'foundation-models', 'heterogeneous-training', 'hpc', 'inference', 'large-scale', 'model-parallelism', 'pipeline-parallelism']

['ai', 'big-model', 'data-parallelism', 'deep-learning', 'distributed-computing', 'foundation-models', 'heterogeneous-training', 'hpc', 'inference', 'large-scale', 'model-parallelism', 'pipeline-parallelism']

2024-01-11

[('bentoml/bentoml', 0.719754159450531, 'ml-ops', 2), ('alpa-projects/alpa', 0.6304028034210205, 'ml-dl', 2), ('pytorchlightning/pytorch-lightning', 0.6259893178939819, 'ml-dl', 2), ('googlecloudplatform/vertex-ai-samples', 0.6214262843132019, 'ml', 1), ('mlc-ai/mlc-llm', 0.6059736013412476, 'llm', 0), ('mosaicml/composer', 0.5992001891136169, 'ml-dl', 1), ('feast-dev/feast', 0.585966944694519, 'ml-ops', 0), ('mlflow/mlflow', 0.5852144360542297, 'ml-ops', 1), ('onnx/onnx', 0.5809974670410156, 'ml', 1), ('tensorflow/tensorflow', 0.5766342282295227, 'ml-dl', 1), ('uber/fiber', 0.5713132619857788, 'data', 1), ('ray-project/ray', 0.5699094533920288, 'ml-ops', 1), ('jina-ai/jina', 0.5669887065887451, 'ml', 1), ('huggingface/datasets', 0.5625196695327759, 'nlp', 1), ('explosion/thinc', 0.5544447898864746, 'ml-dl', 2), ('opentensor/bittensor', 0.552403450012207, 'ml', 2), ('qdrant/qdrant', 0.547572910785675, 'data', 0), ('microsoft/onnxruntime', 0.5474748015403748, 'ml', 1), ('netflix/metaflow', 0.5460145473480225, 'ml-ops', 1), ('google-research/google-research', 0.542206883430481, 'ml', 1), ('operand/agency', 0.5398745536804199, 'llm', 1), ('polyaxon/polyaxon', 0.5358098745346069, 'ml-ops', 1), ('paddlepaddle/paddle', 0.5353530645370483, 'ml-dl', 1), ('activeloopai/deeplake', 0.5351329445838928, 'ml-ops', 2), ('microsoft/lmops', 0.5340853929519653, 'llm', 0), ('interpretml/interpret', 0.5297350883483887, 'ml-interpretability', 1), ('mindsdb/mindsdb', 0.5289170742034912, 'data', 1), ('keras-team/keras', 0.5246325135231018, 'ml-dl', 1), ('xplainable/xplainable', 0.5240747928619385, 'ml-interpretability', 0), ('tensorflow/tensor2tensor', 0.5182396173477173, 'ml', 1), ('ludwig-ai/ludwig', 0.5150622129440308, 'ml-ops', 1), ('superduperdb/superduperdb', 0.514103353023529, 'data', 2), ('skypilot-org/skypilot', 0.5133247971534729, 'llm', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5127544403076172, 'study', 2), ('nccr-itmo/fedot', 0.5125412344932556, 'ml-ops', 0), ('oegedijk/explainerdashboard', 0.5112443566322327, 'ml-interpretability', 0), ('avaiga/taipy', 0.5108974575996399, 'data', 0), ('horovod/horovod', 0.5101556181907654, 'ml-ops', 1), ('lutzroeder/netron', 0.5051214098930359, 'ml', 2), ('unity-technologies/ml-agents', 0.5021815896034241, 'ml-rl', 1)]

ml-ops

https://github.com/apache/airflow

[]

[]

['apache-airflow']

apache/airflow

airflow

Python

https://airflow.apache.org/

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

apache

2024-01-14

2015-04-13

https://avatars.githubusercontent.com/u/47359?v=4

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

['airflow', 'apache', 'apache-airflow', 'automation', 'dag', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'elt', 'etl', 'machine-learning', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-engine', 'workflow-orchestration']

['airflow', 'apache', 'apache-airflow', 'automation', 'dag', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'elt', 'etl', 'machine-learning', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-engine', 'workflow-orchestration']

2024-01-13

[('dagster-io/dagster', 0.6647198796272278, 'ml-ops', 10), ('flyteorg/flyte', 0.6581413745880127, 'ml-ops', 4), ('mage-ai/mage-ai', 0.6510021090507507, 'ml-ops', 8), ('kestra-io/kestra', 0.6468701362609863, 'ml-ops', 9), ('astronomer/astro-sdk', 0.6314418911933899, 'ml-ops', 5), ('orchest/orchest', 0.57388836145401, 'ml-ops', 6), ('polyaxon/polyaxon', 0.5673277974128723, 'ml-ops', 4), ('prefecthq/server', 0.5666928291320801, 'util', 4), ('astronomer/astronomer', 0.5602481961250305, 'ml-ops', 1), ('getindata/kedro-kubeflow', 0.5596566200256348, 'ml-ops', 1), ('zenml-io/zenml', 0.5523534417152405, 'ml-ops', 4), ('prefecthq/prefect', 0.5517212748527527, 'ml-ops', 6), ('pydoit/doit', 0.5482216477394104, 'util', 2), ('airbytehq/airbyte', 0.5474141836166382, 'data', 4), ('avaiga/taipy', 0.5394763946533203, 'data', 5), ('apache/superset', 0.5265361070632935, 'viz', 3), ('anyscale/airflow-provider-ray', 0.521160364151001, 'ml-ops', 0), ('backtick-se/cowait', 0.5194593667984009, 'util', 3), ('bodywork-ml/bodywork-core', 0.5161139965057373, 'ml-ops', 4), ('kubeflow/pipelines', 0.5132193565368652, 'ml-ops', 3), ('dagworks-inc/hamilton', 0.5085076093673706, 'ml-ops', 7)]

llm

https://github.com/hiyouga/llama-efficient-tuning

[]

[]

[]

hiyouga/llama-efficient-tuning

LLaMA-Factory

Python

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

hiyouga

2024-01-14

2023-05-28

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers']

['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers']

2024-01-13

[('hiyouga/llama-factory', 1.0000001192092896, 'llm', 20), ('bobazooba/xllm', 0.7037465572357178, 'llm', 5), ('young-geng/easylm', 0.6924943923950195, 'llm', 3), ('h2oai/h2o-llmstudio', 0.6901037096977234, 'llm', 5), ('lianjiatech/belle', 0.6741761565208435, 'llm', 2), ('tigerlab-ai/tiger', 0.6649465560913086, 'llm', 3), ('confident-ai/deepeval', 0.6391015648841858, 'testing', 2), ('artidoro/qlora', 0.6366947889328003, 'llm', 1), ('bigscience-workshop/petals', 0.6349529027938843, 'data', 3), ('next-gpt/next-gpt', 0.6337035894393921, 'llm', 3), ('bentoml/openllm', 0.6292673945426941, 'ml-ops', 4), ('intel/intel-extension-for-transformers', 0.608906626701355, 'perf', 0), ('ludwig-ai/ludwig', 0.6046748757362366, 'ml-ops', 4), ('zrrskywalker/llama-adapter', 0.6037131547927856, 'llm', 3), ('cg123/mergekit', 0.5988380312919617, 'llm', 2), ('salesforce/xgen', 0.5888428092002869, 'llm', 3), ('microsoft/autogen', 0.5876283049583435, 'llm', 1), ('lightning-ai/lit-llama', 0.5843559503555298, 'llm', 2), ('li-plus/chatglm.cpp', 0.5838775634765625, 'llm', 3), ('thudm/chatglm2-6b', 0.5761158466339111, 'llm', 3), ('huggingface/peft', 0.5760744214057922, 'llm', 3), ('mooler0410/llmspracticalguide', 0.5758503079414368, 'study', 1), ('instruction-tuning-with-gpt-4/gpt-4-llm', 0.5739951133728027, 'llm', 2), ('microsoft/lora', 0.5733075141906738, 'llm', 2), ('juncongmoo/pyllama', 0.5714971423149109, 'llm', 0), ('deepset-ai/haystack', 0.5705711841583252, 'llm', 4), ('predibase/lorax', 0.5675815939903259, 'llm', 6), ('hannibal046/awesome-llm', 0.5673013925552368, 'study', 2), ('eth-sri/lmql', 0.5669613480567932, 'llm', 1), ('eugeneyan/open-llms', 0.5650503039360046, 'study', 3), ('agenta-ai/agenta', 0.5645886659622192, 'llm', 3), ('optimalscale/lmflow', 0.5642813444137573, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5635749697685242, 'llm', 3), ('microsoft/torchscale', 0.5607730746269226, 'llm', 0), ('alpha-vllm/llama2-accessory', 0.5589559078216553, 'llm', 1), ('salesforce/codet5', 0.5533753037452698, 'nlp', 2), ('nat/openplayground', 0.5530924797058105, 'llm', 1), ('hwchase17/langchain', 0.5519071221351624, 'llm', 1), ('nomic-ai/gpt4all', 0.5512845516204834, 'llm', 1), ('lm-sys/fastchat', 0.5488898754119873, 'llm', 1), ('huawei-noah/pretrained-language-model', 0.5485014319419861, 'nlp', 1), ('infinitylogesh/mutate', 0.5444034934043884, 'nlp', 1), ('mlc-ai/web-llm', 0.5438233613967896, 'llm', 2), ('dylanhogg/llmgraph', 0.5430907607078552, 'ml', 1), ('oobabooga/text-generation-webui', 0.5427016019821167, 'llm', 1), ('langchain-ai/langsmith-cookbook', 0.5422529578208923, 'llm', 1), ('fasteval/fasteval', 0.5391843914985657, 'llm', 1), ('ai21labs/lm-evaluation', 0.5385950803756714, 'llm', 1), ('alphasecio/langchain-examples', 0.5362140536308289, 'llm', 1), ('vllm-project/vllm', 0.5355907082557678, 'llm', 3), ('openbmb/toolbench', 0.5351806879043579, 'llm', 1), ('declare-lab/instruct-eval', 0.5344966053962708, 'llm', 1), ('tloen/alpaca-lora', 0.5321193337440491, 'llm', 2), ('ray-project/llm-applications', 0.5320852994918823, 'llm', 2), ('yizhongw/self-instruct', 0.530853271484375, 'llm', 2), ('zilliztech/gptcache', 0.5300213694572449, 'llm', 3), ('llmware-ai/llmware', 0.5291881561279297, 'llm', 3), ('microsoft/flaml', 0.5290378928184509, 'ml', 0), ('baichuan-inc/baichuan-13b', 0.5287743806838989, 'llm', 1), ('tiger-ai-lab/mammoth', 0.5284292697906494, 'llm', 1), ('ray-project/ray-llm', 0.528387725353241, 'llm', 3), ('freedomintelligence/llmzoo', 0.5281152129173279, 'llm', 1), ('hegelai/prompttools', 0.5267438292503357, 'llm', 2), ('citadel-ai/langcheck', 0.5261443257331848, 'llm', 1), ('explosion/spacy-llm', 0.5260066986083984, 'llm', 3), ('argilla-io/argilla', 0.5245571732521057, 'nlp', 2), ('prefecthq/langchain-prefect', 0.5244019627571106, 'llm', 1), ('guidance-ai/guidance', 0.5210491418838501, 'llm', 1), ('nvidia/tensorrt-llm', 0.519806444644928, 'viz', 1), ('predibase/llm_distillation_playbook', 0.5162742733955383, 'llm', 0), ('langchain-ai/langgraph', 0.5161828994750977, 'llm', 0), ('tsinghuadatabasegroup/db-gpt', 0.5159655809402466, 'llm', 1), ('haotian-liu/llava', 0.511481523513794, 'llm', 2), ('microsoft/llama-2-onnx', 0.5092772841453552, 'llm', 2), ('cstankonrad/long_llama', 0.5056299567222595, 'llm', 2), ('microsoft/promptflow', 0.5054689645767212, 'llm', 2), ('ctlllll/llm-toolmaker', 0.5054222941398621, 'llm', 1), ('jzhang38/tinyllama', 0.505348265171051, 'llm', 2), ('opengvlab/omniquant', 0.5039510726928711, 'llm', 3), ('run-llama/rags', 0.5037953853607178, 'llm', 1), ('conceptofmind/toolformer', 0.5014779567718506, 'llm', 1), ('huggingface/transformers', 0.5012958645820618, 'nlp', 1), ('facebookresearch/llama-recipes', 0.5004853010177612, 'llm', 2)]

llm

https://github.com/hiyouga/llama-factory

[]

[]

[]

hiyouga/llama-factory

LLaMA-Factory

Python

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

hiyouga

2024-01-14

2023-05-28

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers']

['baichuan', 'chatglm', 'fine-tuning', 'generative-ai', 'gpt', 'instruction-tuning', 'language-model', 'large-language-models', 'llama', 'llm', 'llms', 'lora', 'mistral', 'mixture-of-experts', 'peft', 'qlora', 'quantization', 'qwen', 'rlhf', 'transformers']

2024-01-13

[('hiyouga/llama-efficient-tuning', 1.0000001192092896, 'llm', 20), ('bobazooba/xllm', 0.7037465572357178, 'llm', 5), ('young-geng/easylm', 0.6924945116043091, 'llm', 3), ('h2oai/h2o-llmstudio', 0.6901035308837891, 'llm', 5), ('lianjiatech/belle', 0.6741760969161987, 'llm', 2), ('tigerlab-ai/tiger', 0.6649466753005981, 'llm', 3), ('confident-ai/deepeval', 0.6391016840934753, 'testing', 2), ('artidoro/qlora', 0.6366949081420898, 'llm', 1), ('bigscience-workshop/petals', 0.6349529027938843, 'data', 3), ('next-gpt/next-gpt', 0.6337036490440369, 'llm', 3), ('bentoml/openllm', 0.6292675733566284, 'ml-ops', 4), ('intel/intel-extension-for-transformers', 0.6089065670967102, 'perf', 0), ('ludwig-ai/ludwig', 0.6046749949455261, 'ml-ops', 4), ('zrrskywalker/llama-adapter', 0.6037132740020752, 'llm', 3), ('cg123/mergekit', 0.5988380908966064, 'llm', 2), ('salesforce/xgen', 0.5888428688049316, 'llm', 3), ('microsoft/autogen', 0.5876283049583435, 'llm', 1), ('lightning-ai/lit-llama', 0.5843560099601746, 'llm', 2), ('li-plus/chatglm.cpp', 0.5838776230812073, 'llm', 3), ('thudm/chatglm2-6b', 0.5761158466339111, 'llm', 3), ('huggingface/peft', 0.576074481010437, 'llm', 3), ('mooler0410/llmspracticalguide', 0.575850248336792, 'study', 1), ('instruction-tuning-with-gpt-4/gpt-4-llm', 0.5739949345588684, 'llm', 2), ('microsoft/lora', 0.5733075141906738, 'llm', 2), ('juncongmoo/pyllama', 0.5714971423149109, 'llm', 0), ('deepset-ai/haystack', 0.5705711245536804, 'llm', 4), ('predibase/lorax', 0.5675815343856812, 'llm', 6), ('hannibal046/awesome-llm', 0.5673015117645264, 'study', 2), ('eth-sri/lmql', 0.5669615268707275, 'llm', 1), ('eugeneyan/open-llms', 0.5650503635406494, 'study', 3), ('agenta-ai/agenta', 0.5645887851715088, 'llm', 3), ('optimalscale/lmflow', 0.5642813444137573, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5635750889778137, 'llm', 3), ('microsoft/torchscale', 0.5607731938362122, 'llm', 0), ('alpha-vllm/llama2-accessory', 0.5589560270309448, 'llm', 1), ('salesforce/codet5', 0.5533753633499146, 'nlp', 2), ('nat/openplayground', 0.5530926585197449, 'llm', 1), ('hwchase17/langchain', 0.5519071221351624, 'llm', 1), ('nomic-ai/gpt4all', 0.5512844920158386, 'llm', 1), ('lm-sys/fastchat', 0.5488899946212769, 'llm', 1), ('huawei-noah/pretrained-language-model', 0.5485014915466309, 'nlp', 1), ('infinitylogesh/mutate', 0.5444034337997437, 'nlp', 1), ('mlc-ai/web-llm', 0.5438234210014343, 'llm', 2), ('dylanhogg/llmgraph', 0.5430908203125, 'ml', 1), ('oobabooga/text-generation-webui', 0.5427017211914062, 'llm', 1), ('langchain-ai/langsmith-cookbook', 0.5422530174255371, 'llm', 1), ('fasteval/fasteval', 0.5391845107078552, 'llm', 1), ('ai21labs/lm-evaluation', 0.5385951995849609, 'llm', 1), ('alphasecio/langchain-examples', 0.5362140536308289, 'llm', 1), ('vllm-project/vllm', 0.5355907678604126, 'llm', 3), ('openbmb/toolbench', 0.5351808667182922, 'llm', 1), ('declare-lab/instruct-eval', 0.5344966650009155, 'llm', 1), ('tloen/alpaca-lora', 0.5321192145347595, 'llm', 2), ('ray-project/llm-applications', 0.5320853590965271, 'llm', 2), ('yizhongw/self-instruct', 0.5308533310890198, 'llm', 2), ('zilliztech/gptcache', 0.5300214290618896, 'llm', 3), ('llmware-ai/llmware', 0.5291882157325745, 'llm', 3), ('microsoft/flaml', 0.5290379524230957, 'ml', 0), ('baichuan-inc/baichuan-13b', 0.5287744402885437, 'llm', 1), ('tiger-ai-lab/mammoth', 0.5284292697906494, 'llm', 1), ('ray-project/ray-llm', 0.5283878445625305, 'llm', 3), ('freedomintelligence/llmzoo', 0.5281153321266174, 'llm', 1), ('hegelai/prompttools', 0.5267438292503357, 'llm', 2), ('citadel-ai/langcheck', 0.5261441469192505, 'llm', 1), ('explosion/spacy-llm', 0.5260065793991089, 'llm', 3), ('argilla-io/argilla', 0.5245572328567505, 'nlp', 2), ('prefecthq/langchain-prefect', 0.5244020819664001, 'llm', 1), ('guidance-ai/guidance', 0.5210491418838501, 'llm', 1), ('nvidia/tensorrt-llm', 0.5198065042495728, 'viz', 1), ('predibase/llm_distillation_playbook', 0.5162743330001831, 'llm', 0), ('langchain-ai/langgraph', 0.5161830186843872, 'llm', 0), ('tsinghuadatabasegroup/db-gpt', 0.5159657001495361, 'llm', 1), ('haotian-liu/llava', 0.5114816427230835, 'llm', 2), ('microsoft/llama-2-onnx', 0.5092772841453552, 'llm', 2), ('cstankonrad/long_llama', 0.5056300163269043, 'llm', 2), ('microsoft/promptflow', 0.505469024181366, 'llm', 2), ('ctlllll/llm-toolmaker', 0.5054224133491516, 'llm', 1), ('jzhang38/tinyllama', 0.5053484439849854, 'llm', 2), ('opengvlab/omniquant', 0.5039510726928711, 'llm', 3), ('run-llama/rags', 0.5037953853607178, 'llm', 1), ('conceptofmind/toolformer', 0.5014780759811401, 'llm', 1), ('huggingface/transformers', 0.5012959241867065, 'nlp', 1), ('facebookresearch/llama-recipes', 0.5004853010177612, 'llm', 2)]

study

https://github.com/thealgorithms/python

[]

[]

[]

thealgorithms/python

Python

Python

https://the-algorithms.com/

All Algorithms implemented in Python

thealgorithms

2024-01-14

2016-07-16

https://avatars.githubusercontent.com/u/20487725?v=4

All Algorithms implemented in Python

['algorithm', 'algorithm-competitions', 'algorithms-implemented', 'algos', 'community-driven', 'education', 'interview', 'learn', 'practice', 'searches', 'sorting-algorithms', 'sorts']

['algorithm', 'algorithm-competitions', 'algorithms-implemented', 'algos', 'community-driven', 'education', 'interview', 'learn', 'practice', 'searches', 'sorting-algorithms', 'sorts']

2024-01-13

[('keon/algorithms', 0.707886815071106, 'util', 1), ('krzjoa/awesome-python-data-science', 0.5975322127342224, 'study', 0), ('atsushisakai/pythonrobotics', 0.58967125415802, 'sim', 1), ('ranaroussi/quantstats', 0.5772646069526672, 'finance', 0), ('sympy/sympy', 0.5507904887199402, 'math', 0), ('scikit-mobility/scikit-mobility', 0.5455461740493774, 'gis', 0), ('joowani/binarytree', 0.5343596935272217, 'util', 2), ('dagworks-inc/hamilton', 0.5340306162834167, 'ml-ops', 0), ('sloria/textblob', 0.531756579875946, 'nlp', 0), ('scipy/scipy', 0.5260889530181885, 'math', 0), ('quantconnect/lean', 0.5260835886001587, 'finance', 1), ('online-ml/river', 0.5223714709281921, 'ml', 0), ('scikit-learn/scikit-learn', 0.5219714641571045, 'ml', 0), ('dylanhogg/awesome-python', 0.5201041102409363, 'study', 0), ('cython/cython', 0.5155187249183655, 'util', 0), ('gradio-app/gradio', 0.513965904712677, 'viz', 0), ('plotly/dash', 0.5107855796813965, 'viz', 0), ('gbeced/pyalgotrade', 0.5092158317565918, 'finance', 0), ('pypy/pypy', 0.5088759660720825, 'util', 0), ('networkx/networkx', 0.5088640451431274, 'graph', 0), ('quantopian/zipline', 0.5000721216201782, 'finance', 0)]

llm

https://github.com/nomic-ai/gpt4all

['chatbot', 'language-model']

[]

[]

nomic-ai/gpt4all

gpt4all

C++

https://gpt4all.io

gpt4all: open-source LLM chatbots that you can run anywhere

nomic-ai

2024-01-14

2023-03-27

https://avatars.githubusercontent.com/u/102670180?v=4

gpt4all: open-source LLM chatbots that you can run anywhere

['llm-inference']

['chatbot', 'language-model', 'llm-inference']

2024-01-12

[('deep-diver/llm-as-chatbot', 0.7740846276283264, 'llm', 1), ('embedchain/embedchain', 0.7717016935348511, 'llm', 0), ('hwchase17/langchain', 0.756317138671875, 'llm', 2), ('microsoft/autogen', 0.716184139251709, 'llm', 2), ('intel/intel-extension-for-transformers', 0.7130550742149353, 'perf', 2), ('thudm/chatglm2-6b', 0.6924757957458496, 'llm', 0), ('deepset-ai/haystack', 0.6876985430717468, 'llm', 1), ('togethercomputer/openchatkit', 0.6839218139648438, 'nlp', 1), ('fasteval/fasteval', 0.6797701120376587, 'llm', 0), ('run-llama/rags', 0.679734468460083, 'llm', 1), ('lm-sys/fastchat', 0.6753419041633606, 'llm', 2), ('young-geng/easylm', 0.6724932789802551, 'llm', 2), ('aiwaves-cn/agents', 0.6714950799942017, 'nlp', 1), ('pathwaycom/llm-app', 0.6673745512962341, 'llm', 1), ('rcgai/simplyretrieve', 0.6575261950492859, 'llm', 0), ('rasahq/rasa', 0.6559364199638367, 'llm', 1), ('mlc-ai/web-llm', 0.6522467136383057, 'llm', 1), ('microsoft/promptcraft-robotics', 0.6439793109893799, 'sim', 0), ('dylanhogg/llmgraph', 0.6398856043815613, 'ml', 0), ('deeppavlov/deeppavlov', 0.6342305541038513, 'nlp', 1), ('chatarena/chatarena', 0.6325280070304871, 'llm', 0), ('blinkdl/chatrwkv', 0.6257155537605286, 'llm', 2), ('h2oai/h2o-llmstudio', 0.6245695948600769, 'llm', 1), ('bigscience-workshop/petals', 0.6160693168640137, 'data', 1), ('shishirpatil/gorilla', 0.6152714490890503, 'llm', 0), ('nebuly-ai/nebullvm', 0.6061845421791077, 'perf', 0), ('openlmlab/moss', 0.6058529615402222, 'llm', 1), ('mooler0410/llmspracticalguide', 0.6006626486778259, 'study', 0), ('tigerlab-ai/tiger', 0.5997213125228882, 'llm', 0), ('salesforce/codet5', 0.5974037051200867, 'nlp', 1), ('eugeneyan/open-llms', 0.5968722701072693, 'study', 0), ('cheshire-cat-ai/core', 0.5960567593574524, 'llm', 1), ('langchain-ai/chat-langchain', 0.594020426273346, 'llm', 0), ('salesforce/xgen', 0.590821385383606, 'llm', 1), ('gunthercox/chatterbot', 0.5897710919380188, 'nlp', 1), ('li-plus/chatglm.cpp', 0.5896359086036682, 'llm', 0), ('argilla-io/argilla', 0.5886470079421997, 'nlp', 0), ('nat/openplayground', 0.5870195627212524, 'llm', 1), ('hegelai/prompttools', 0.5853099226951599, 'llm', 0), ('berriai/litellm', 0.5837444067001343, 'llm', 0), ('nvidia/nemo-guardrails', 0.583074152469635, 'llm', 1), ('mmabrouk/chatgpt-wrapper', 0.5768630504608154, 'llm', 1), ('next-gpt/next-gpt', 0.5750716328620911, 'llm', 0), ('iryna-kondr/scikit-llm', 0.5748793482780457, 'llm', 0), ('xtekky/gpt4free', 0.5740395784378052, 'llm', 2), ('microsoft/jarvis', 0.5687279105186462, 'llm', 0), ('databrickslabs/dolly', 0.568418562412262, 'llm', 1), ('explosion/spacy-llm', 0.5681854486465454, 'llm', 0), ('agenta-ai/agenta', 0.5681662559509277, 'llm', 0), ('minimaxir/simpleaichat', 0.5681280493736267, 'llm', 0), ('chainlit/chainlit', 0.5640503168106079, 'llm', 0), ('lupantech/chameleon-llm', 0.5625832080841064, 'llm', 1), ('zilliztech/gptcache', 0.5606859922409058, 'llm', 1), ('ray-project/ray-llm', 0.5573980808258057, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.5547274947166443, 'nlp', 0), ('night-chen/toolqa', 0.5544880032539368, 'llm', 0), ('openai/gpt-discord-bot', 0.5539908409118652, 'llm', 0), ('jina-ai/thinkgpt', 0.551749587059021, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5512845516204834, 'llm', 1), ('hiyouga/llama-factory', 0.5512844920158386, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.5511795878410339, 'llm', 0), ('microsoft/semantic-kernel', 0.5500825047492981, 'llm', 0), ('prefecthq/marvin', 0.5499098896980286, 'nlp', 0), ('larsbaunwall/bricky', 0.5481459498405457, 'llm', 0), ('microsoft/promptflow', 0.5479527115821838, 'llm', 0), ('mnotgod96/appagent', 0.5476191639900208, 'llm', 0), ('confident-ai/deepeval', 0.5438401699066162, 'testing', 1), ('vllm-project/vllm', 0.5424882769584656, 'llm', 0), ('bentoml/openllm', 0.5412029027938843, 'ml-ops', 1), ('paddlepaddle/paddlenlp', 0.5397657155990601, 'llm', 0), ('bobazooba/xllm', 0.5367876887321472, 'llm', 0), ('langchain-ai/langgraph', 0.533517599105835, 'llm', 0), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5312781929969788, 'llm', 0), ('infinitylogesh/mutate', 0.5304908752441406, 'nlp', 1), ('krohling/bondai', 0.5283734798431396, 'llm', 0), ('lchen001/llmdrift', 0.5283440351486206, 'llm', 1), ('mlc-ai/mlc-llm', 0.5278238654136658, 'llm', 1), ('killianlucas/open-interpreter', 0.5259217619895935, 'llm', 0), ('llmware-ai/llmware', 0.5244438648223877, 'llm', 0), ('aws-samples/serverless-pdf-chat', 0.5228908061981201, 'llm', 0), ('microsoft/lmops', 0.5191216468811035, 'llm', 1), ('nvidia/tensorrt-llm', 0.5173569321632385, 'viz', 1), ('eth-sri/lmql', 0.5151371955871582, 'llm', 1), ('citadel-ai/langcheck', 0.5129213333129883, 'llm', 1), ('conceptofmind/toolformer', 0.5125241875648499, 'llm', 1), ('microsoft/generative-ai-for-beginners', 0.5107761025428772, 'study', 1), ('nvidia/nemo', 0.5101531744003296, 'nlp', 1), ('ibm/dromedary', 0.5083171129226685, 'llm', 1), ('cg123/mergekit', 0.5065050721168518, 'llm', 0), ('eleutherai/the-pile', 0.5064859986305237, 'data', 0), ('run-llama/llama-hub', 0.5034949779510498, 'data', 0)]

llm

https://github.com/antonosika/gpt-engineer

['coding-assistant']

[]

[]

antonosika/gpt-engineer

gpt-engineer

Python

Specify what you want it to build, the AI asks for clarification, and then builds it.

antonosika

2024-01-14

2023-04-29

https://avatars.githubusercontent.com/u/153750385?v=4

Specify what you want it to build, the AI asks for clarification, and then builds it.

['ai', 'autonomous-agent', 'codebase-generation', 'coding-assistant', 'gpt-4', 'openai']

['ai', 'autonomous-agent', 'codebase-generation', 'coding-assistant', 'gpt-4', 'openai']

2024-01-10

[('prefecthq/marvin', 0.7385191917419434, 'nlp', 2), ('mindsdb/mindsdb', 0.6977242827415466, 'data', 1), ('transformeroptimus/superagi', 0.677440881729126, 'llm', 3), ('lastmile-ai/aiconfig', 0.6765998005867004, 'util', 1), ('torantulino/auto-gpt', 0.6554578542709351, 'llm', 3), ('smol-ai/developer', 0.6368786096572876, 'llm', 3), ('microsoft/generative-ai-for-beginners', 0.6323514580726624, 'study', 2), ('sweepai/sweep', 0.6145350933074951, 'llm', 1), ('pytorchlightning/pytorch-lightning', 0.6123632192611694, 'ml-dl', 1), ('bentoml/bentoml', 0.6053545475006104, 'ml-ops', 1), ('microsoft/promptflow', 0.5964549779891968, 'llm', 1), ('google-research/language', 0.5954734683036804, 'nlp', 0), ('pythagora-io/gpt-pilot', 0.590089738368988, 'llm', 3), ('mlc-ai/mlc-llm', 0.5844728946685791, 'llm', 0), ('microsoft/lmops', 0.5837531089782715, 'llm', 0), ('cheshire-cat-ai/core', 0.5780220031738281, 'llm', 1), ('operand/agency', 0.5778323411941528, 'llm', 2), ('yoheinakajima/babyagi', 0.5550106763839722, 'llm', 0), ('krohling/bondai', 0.5529053211212158, 'llm', 0), ('oegedijk/explainerdashboard', 0.545367956161499, 'ml-interpretability', 0), ('googlecloudplatform/vertex-ai-samples', 0.5366024374961853, 'ml', 1), ('unity-technologies/ml-agents', 0.5287721157073975, 'ml-rl', 0), ('alirezadir/machine-learning-interview-enlightener', 0.527275800704956, 'study', 1), ('jina-ai/jina', 0.5212904214859009, 'ml', 0), ('oliveirabruno01/babyagi-asi', 0.518890917301178, 'llm', 1), ('netflix/metaflow', 0.5169954299926758, 'ml-ops', 1), ('oneil512/insight', 0.5132570862770081, 'ml', 1), ('avaiga/taipy', 0.5112882852554321, 'data', 0), ('activeloopai/deeplake', 0.5061295628547668, 'ml-ops', 1), ('assafelovic/gpt-researcher', 0.5011528730392456, 'llm', 1)]

pandas

https://github.com/pola-rs/polars

['arrow', 'rust', 'dataframe', 'olap']

[]

[]

pola-rs/polars

polars

Rust

https://docs.pola.rs

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

pola-rs

2024-01-14

2020-05-13

https://avatars.githubusercontent.com/u/83768144?v=4

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

['arrow', 'dataframe', 'dataframe-library', 'dataframes', 'out-of-core', 'polars', 'rust']

['arrow', 'dataframe', 'dataframe-library', 'dataframes', 'olap', 'out-of-core', 'polars', 'rust']

2024-01-12

[('eventual-inc/daft', 0.7005141377449036, 'pandas', 2), ('sfu-db/connector-x', 0.6430513262748718, 'data', 2), ('delta-io/delta-rs', 0.596839427947998, 'pandas', 1), ('vaexio/vaex', 0.5824528336524963, 'perf', 1), ('astral-sh/ruff', 0.5693628787994385, 'util', 1), ('apache/arrow', 0.5664820075035095, 'data', 1), ('ibis-project/ibis', 0.5494480729103088, 'data', 1), ('tobymao/sqlglot', 0.5481932163238525, 'data', 0), ('aswinnnn/pyscan', 0.5435234308242798, 'security', 1), ('rapidsai/cudf', 0.5434831380844116, 'pandas', 2), ('pandas-dev/pandas', 0.5433159470558167, 'pandas', 2), ('ydataai/ydata-profiling', 0.5423642992973328, 'pandas', 0), ('fugue-project/fugue', 0.5422793030738831, 'pandas', 0), ('adamerose/pandasgui', 0.5391742587089539, 'pandas', 1), ('apache/spark', 0.5380522608757019, 'data', 0), ('jmcarpenter2/swifter', 0.5324315428733826, 'pandas', 0), ('rustpython/rustpython', 0.5321800112724304, 'util', 1), ('polyaxon/datatile', 0.5283935070037842, 'pandas', 1), ('qdrant/vector-db-benchmark', 0.5243891477584839, 'perf', 0), ('man-group/dtale', 0.5197016596794128, 'viz', 0), ('qdrant/fastembed', 0.5184158682823181, 'ml', 0), ('fastai/fastcore', 0.5103496313095093, 'util', 0), ('aws/aws-sdk-pandas', 0.50155109167099, 'pandas', 0)]

diffusion

https://github.com/huggingface/diffusers

[]

[]

[]

huggingface/diffusers

diffusers

Python

https://huggingface.co/docs/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

huggingface

2024-01-14

2022-05-30

https://avatars.githubusercontent.com/u/25720743?v=4

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

['deep-learning', 'diffusion', 'image-generation', 'image2image', 'pytorch', 'score-based-generative-modeling', 'stable-diffusion', 'stable-diffusion-diffusers', 'text2image']

['deep-learning', 'diffusion', 'image-generation', 'image2image', 'pytorch', 'score-based-generative-modeling', 'stable-diffusion', 'stable-diffusion-diffusers', 'text2image']

2024-01-12

[('albarji/mixture-of-diffusers', 0.6519318222999573, 'diffusion', 1), ('sharonzhou/long_stable_diffusion', 0.6350945830345154, 'diffusion', 0), ('compvis/latent-diffusion', 0.6299404501914978, 'diffusion', 2), ('stability-ai/stablediffusion', 0.6299402713775635, 'diffusion', 2), ('compvis/stable-diffusion', 0.629136860370636, 'diffusion', 2), ('tanelp/tiny-diffusion', 0.5994593501091003, 'diffusion', 0), ('carson-katri/dream-textures', 0.5772011280059814, 'diffusion', 2), ('openai/glide-text2im', 0.565796971321106, 'diffusion', 0), ('nateraw/stable-diffusion-videos', 0.5594053268432617, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.552635669708252, 'diffusion', 7), ('pollinations/dance-diffusion', 0.5509036779403687, 'diffusion', 0), ('xavierxiao/dreambooth-stable-diffusion', 0.5447068810462952, 'diffusion', 2), ('lucidrains/musiclm-pytorch', 0.54345703125, 'ml', 1), ('saharmor/dalle-playground', 0.539817750453949, 'diffusion', 1), ('lucidrains/dalle2-pytorch', 0.532724142074585, 'diffusion', 1), ('lucidrains/imagen-pytorch', 0.5299099087715149, 'ml-dl', 1), ('pytorch/ignite', 0.528372049331665, 'ml-dl', 2), ('timothybrooks/instruct-pix2pix', 0.5238240957260132, 'diffusion', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5232102274894714, 'diffusion', 0), ('laion-ai/dalle2-laion', 0.5089276432991028, 'diffusion', 1), ('jina-ai/discoart', 0.5044229030609131, 'diffusion', 2), ('stability-ai/stability-sdk', 0.5022362470626831, 'diffusion', 1)]

llm

https://github.com/microsoft/semantic-kernel

[]

[]

[]

microsoft/semantic-kernel

semantic-kernel

C#

https://aka.ms/semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

microsoft

2024-01-14

2023-02-27

https://avatars.githubusercontent.com/u/6154722?v=4

Integrate cutting-edge LLM technology quickly and easily into your apps

['ai', 'artificial-intelligence', 'llm', 'openai', 'sdk']

['ai', 'artificial-intelligence', 'llm', 'openai', 'sdk']

2024-01-12

[('microsoft/promptflow', 0.7958884835243225, 'llm', 2), ('pathwaycom/llm-app', 0.7631767988204956, 'llm', 1), ('mlc-ai/mlc-llm', 0.6558853983879089, 'llm', 1), ('tigerlab-ai/tiger', 0.6522761583328247, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6336042284965515, 'perf', 0), ('nebuly-ai/nebullvm', 0.6294217705726624, 'perf', 3), ('alphasecio/langchain-examples', 0.6260648965835571, 'llm', 2), ('mnotgod96/appagent', 0.6219491362571716, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.6138186454772949, 'llm', 0), ('shishirpatil/gorilla', 0.612429678440094, 'llm', 1), ('h2oai/h2o-llmstudio', 0.6094576716423035, 'llm', 2), ('bigscience-workshop/petals', 0.6056543588638306, 'data', 0), ('lancedb/lancedb', 0.6036065220832825, 'data', 0), ('microsoft/lmops', 0.6015781760215759, 'llm', 1), ('deepset-ai/haystack', 0.5954805016517639, 'llm', 1), ('ludwig-ai/ludwig', 0.5949147939682007, 'ml-ops', 1), ('iryna-kondr/scikit-llm', 0.5926992893218994, 'llm', 1), ('berriai/litellm', 0.5909188985824585, 'llm', 2), ('prefecthq/marvin', 0.583898663520813, 'nlp', 3), ('chainlit/chainlit', 0.5796830654144287, 'llm', 2), ('microsoft/torchscale', 0.573233425617218, 'llm', 0), ('microsoft/jarvis', 0.572293758392334, 'llm', 0), ('lastmile-ai/aiconfig', 0.5658584237098694, 'util', 2), ('vllm-project/vllm', 0.564845621585846, 'llm', 1), ('bentoml/bentoml', 0.5644956827163696, 'ml-ops', 1), ('bentoml/openllm', 0.5633988380432129, 'ml-ops', 2), ('embedchain/embedchain', 0.555986225605011, 'llm', 2), ('hwchase17/langchain', 0.5559676289558411, 'llm', 0), ('operand/agency', 0.5540736317634583, 'llm', 3), ('nomic-ai/gpt4all', 0.5500825047492981, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.5478009581565857, 'llm', 0), ('sweepai/sweep', 0.5460195541381836, 'llm', 2), ('cheshire-cat-ai/core', 0.5438644886016846, 'llm', 2), ('pytorchlightning/pytorch-lightning', 0.5393573641777039, 'ml-dl', 2), ('eugeneyan/open-llms', 0.5385962128639221, 'study', 1), ('citadel-ai/langcheck', 0.5307271480560303, 'llm', 0), ('microsoft/promptcraft-robotics', 0.5297889113426208, 'sim', 1), ('mmabrouk/chatgpt-wrapper', 0.526870608329773, 'llm', 2), ('skypilot-org/skypilot', 0.5244306325912476, 'llm', 0), ('young-geng/easylm', 0.5219286680221558, 'llm', 0), ('activeloopai/deeplake', 0.5194681882858276, 'ml-ops', 2), ('argilla-io/argilla', 0.5170361399650574, 'nlp', 2), ('opengenerativeai/genossgpt', 0.5167599320411682, 'llm', 2), ('hegelai/prompttools', 0.5153470039367676, 'llm', 0), ('smol-ai/developer', 0.5124703049659729, 'llm', 1), ('streamlit/streamlit', 0.5103716254234314, 'viz', 0), ('ajndkr/lanarky', 0.5084496140480042, 'llm', 0), ('jina-ai/jina', 0.5081870555877686, 'ml', 0), ('pythagora-io/gpt-pilot', 0.5081477165222168, 'llm', 1), ('lightning-ai/lit-gpt', 0.5075657367706299, 'llm', 0), ('bobazooba/xllm', 0.5029643774032593, 'llm', 2), ('jerryjliu/llama_index', 0.5002325773239136, 'llm', 1)]

llm

https://github.com/mlc-ai/mlc-llm

[]

[]

[]

mlc-ai/mlc-llm

mlc-llm

Python

https://llm.mlc.ai/docs

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mlc-ai

2024-01-14

2023-04-29

https://avatars.githubusercontent.com/u/106173866?v=4

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

['language-model', 'llm', 'machine-learning-compilation', 'tvm']

['language-model', 'llm', 'machine-learning-compilation', 'tvm']

2024-01-13

[('microsoft/lmops', 0.7063540816307068, 'llm', 2), ('microsoft/semantic-kernel', 0.6558853983879089, 'llm', 1), ('bentoml/bentoml', 0.6454080939292908, 'ml-ops', 0), ('pytorchlightning/pytorch-lightning', 0.6401709914207458, 'ml-dl', 0), ('microsoft/promptflow', 0.621173620223999, 'llm', 1), ('nebuly-ai/nebullvm', 0.6126720309257507, 'perf', 1), ('cheshire-cat-ai/core', 0.6107067465782166, 'llm', 1), ('prefecthq/marvin', 0.6106210350990295, 'nlp', 1), ('pathwaycom/llm-app', 0.6101855039596558, 'llm', 1), ('operand/agency', 0.6070036888122559, 'llm', 1), ('hpcaitech/colossalai', 0.6059736013412476, 'llm', 0), ('ludwig-ai/ludwig', 0.5952907800674438, 'ml-ops', 1), ('lastmile-ai/aiconfig', 0.588663637638092, 'util', 1), ('tigerlab-ai/tiger', 0.5859246850013733, 'llm', 1), ('antonosika/gpt-engineer', 0.5844728946685791, 'llm', 0), ('bigscience-workshop/petals', 0.583511233329773, 'data', 0), ('jina-ai/jina', 0.581267774105072, 'ml', 0), ('mlflow/mlflow', 0.5713922381401062, 'ml-ops', 0), ('ray-project/ray', 0.568311333656311, 'ml-ops', 0), ('googlecloudplatform/vertex-ai-samples', 0.5680209994316101, 'ml', 0), ('tensorflow/tensorflow', 0.5597818493843079, 'ml-dl', 0), ('sweepai/sweep', 0.5575688481330872, 'llm', 1), ('alpa-projects/alpa', 0.5512301921844482, 'ml-dl', 1), ('transformeroptimus/superagi', 0.5498563051223755, 'llm', 1), ('mindsdb/mindsdb', 0.5494204163551331, 'data', 1), ('microsoft/autogen', 0.5481517314910889, 'llm', 0), ('microsoft/onnxruntime', 0.5396208763122559, 'ml', 0), ('llmware-ai/llmware', 0.5390260815620422, 'llm', 0), ('embedchain/embedchain', 0.5380026698112488, 'llm', 1), ('titanml/takeoff', 0.5372212529182434, 'llm', 2), ('nvidia/deeplearningexamples', 0.5367917418479919, 'ml-dl', 0), ('avaiga/taipy', 0.5353958010673523, 'data', 0), ('huggingface/datasets', 0.532573401927948, 'nlp', 0), ('microsoft/torchscale', 0.532260000705719, 'llm', 0), ('onnx/onnx', 0.5302952527999878, 'ml', 0), ('intel/intel-extension-for-transformers', 0.5288311243057251, 'perf', 0), ('guardrails-ai/guardrails', 0.527996301651001, 'llm', 1), ('nomic-ai/gpt4all', 0.5278238654136658, 'llm', 1), ('microsoft/nni', 0.5266501307487488, 'ml', 0), ('activeloopai/deeplake', 0.5259242653846741, 'ml-ops', 1), ('lucidrains/toolformer-pytorch', 0.5253450274467468, 'llm', 1), ('smol-ai/developer', 0.5239886045455933, 'llm', 0), ('uber/fiber', 0.522170901298523, 'data', 0), ('microsoft/generative-ai-for-beginners', 0.5216159820556641, 'study', 1), ('google-research/language', 0.5201672911643982, 'nlp', 0), ('rafiqhasan/auto-tensorflow', 0.5193679928779602, 'ml-dl', 0), ('nccr-itmo/fedot', 0.5192214250564575, 'ml-ops', 0), ('determined-ai/determined', 0.5185369253158569, 'ml-ops', 0), ('ml-tooling/opyrator', 0.5173749327659607, 'viz', 0), ('hwchase17/langchain', 0.5162545442581177, 'llm', 1), ('arize-ai/phoenix', 0.5153992772102356, 'ml-interpretability', 0), ('oegedijk/explainerdashboard', 0.5132462978363037, 'ml-interpretability', 0), ('argilla-io/argilla', 0.51301109790802, 'nlp', 1), ('jina-ai/thinkgpt', 0.5101083517074585, 'llm', 1), ('aimhubio/aim', 0.509802520275116, 'ml-ops', 0), ('deepset-ai/haystack', 0.508885383605957, 'llm', 1), ('microsoft/jarvis', 0.5086725354194641, 'llm', 0), ('mnotgod96/appagent', 0.5084356665611267, 'llm', 1), ('luodian/otter', 0.5079561471939087, 'llm', 0), ('kubeflow/fairing', 0.5076168179512024, 'ml-ops', 0), ('unity-technologies/ml-agents', 0.5073363184928894, 'ml-rl', 0), ('rasahq/rasa', 0.50617915391922, 'llm', 0), ('aiwaves-cn/agents', 0.5054627060890198, 'nlp', 2), ('mosaicml/composer', 0.5053991675376892, 'ml-dl', 0), ('nat/openplayground', 0.5039643049240112, 'llm', 1), ('modularml/mojo', 0.5038229823112488, 'util', 0), ('lm-sys/fastchat', 0.5015469193458557, 'llm', 1), ('superduperdb/superduperdb', 0.5006630420684814, 'data', 0)]

llm

https://github.com/logspace-ai/langflow

['ui', 'langchain']

[]

[]

logspace-ai/langflow

langflow

Python

http://www.langflow.org

⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

logspace-ai

2024-01-14

2023-02-08

https://avatars.githubusercontent.com/u/85702467?v=4

⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

['chatgpt', 'langchain', 'large-language-models', 'react-flow']

['chatgpt', 'langchain', 'large-language-models', 'react-flow', 'ui']

2024-01-11

[('langchain-ai/langgraph', 0.6137604713439941, 'llm', 1), ('gkamradt/langchain-tutorials', 0.5531355142593384, 'study', 0), ('prefecthq/langchain-prefect', 0.548227071762085, 'llm', 2), ('hwchase17/langchain', 0.5081093907356262, 'llm', 1)]

llm

https://github.com/berriai/litellm

[]

[]

[]

berriai/litellm

litellm

Python

https://litellm-api.up.railway.app/

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

berriai

2024-01-14

2023-07-27

https://avatars.githubusercontent.com/u/121462774?v=4

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

['anthropic', 'langchain', 'langchain-python', 'llm', 'llmops', 'openai']

['anthropic', 'langchain', 'langchain-python', 'llm', 'llmops', 'openai']

2024-01-14

[('opengenerativeai/genossgpt', 0.7308034896850586, 'llm', 2), ('shishirpatil/gorilla', 0.7173708081245422, 'llm', 1), ('chainlit/chainlit', 0.6367120742797852, 'llm', 3), ('eugeneyan/open-llms', 0.5926091074943542, 'study', 1), ('microsoft/semantic-kernel', 0.5909188985824585, 'llm', 2), ('ajndkr/lanarky', 0.587331235408783, 'llm', 1), ('nomic-ai/gpt4all', 0.5837444067001343, 'llm', 0), ('pathwaycom/llm-app', 0.5751776695251465, 'llm', 2), ('hwchase17/langchain', 0.573574423789978, 'llm', 1), ('deep-diver/llm-as-chatbot', 0.5576227903366089, 'llm', 0), ('run-llama/llama-hub', 0.5469061136245728, 'data', 1), ('alphasecio/langchain-examples', 0.5404641032218933, 'llm', 3), ('zilliztech/gptcache', 0.539711594581604, 'llm', 3), ('mmabrouk/chatgpt-wrapper', 0.5316495299339294, 'llm', 2), ('citadel-ai/langcheck', 0.5299030542373657, 'llm', 0), ('openai/openai-python', 0.5291408896446228, 'util', 1), ('alpha-vllm/llama2-accessory', 0.5151165127754211, 'llm', 0), ('bentoml/openllm', 0.5140005350112915, 'ml-ops', 2), ('young-geng/easylm', 0.5113945603370667, 'llm', 0), ('ray-project/llm-applications', 0.5112382173538208, 'llm', 1), ('microsoft/promptflow', 0.5052803754806519, 'llm', 1), ('tigerlab-ai/tiger', 0.5017346143722534, 'llm', 1), ('deep-diver/pingpong', 0.5002941489219666, 'llm', 0)]

util

https://github.com/localstack/localstack

[]

[]

[]

localstack/localstack

localstack

Python

https://localstack.cloud

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

localstack

2024-01-14

2016-10-25

https://avatars.githubusercontent.com/u/28732122?v=4

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

['aws', 'cloud', 'continuous-integration', 'developer-tools', 'localstack', 'testing']

['aws', 'cloud', 'continuous-integration', 'developer-tools', 'localstack', 'testing']

2024-01-12

[('nficano/python-lambda', 0.5929733514785767, 'util', 1), ('aws/chalice', 0.5926650762557983, 'web', 2), ('zenml-io/mlstacks', 0.5585765838623047, 'ml-ops', 0), ('boto/boto3', 0.5544808506965637, 'util', 2), ('skypilot-org/skypilot', 0.5336942672729492, 'llm', 0), ('lithops-cloud/lithops', 0.514224648475647, 'ml-ops', 0), ('rpgreen/apilogs', 0.5111103653907776, 'util', 1), ('orchest/orchest', 0.5089136362075806, 'ml-ops', 1), ('developmentseed/titiler', 0.5016547441482544, 'gis', 0)]

llm

https://github.com/facebookresearch/llama

['llama', 'language-model']

[]

[]

facebookresearch/llama

llama

Python

Inference code for LLaMA models

facebookresearch

2024-01-14

2023-02-14

https://avatars.githubusercontent.com/u/16943930?v=4

Inference code for LLaMA models

[]

['language-model', 'llama']

2023-11-14

[('facebookresearch/codellama', 0.8860641121864319, 'llm', 2), ('karpathy/llama2.c', 0.8788975477218628, 'llm', 2), ('facebookresearch/llama-recipes', 0.7843647003173828, 'llm', 2), ('microsoft/llama-2-onnx', 0.7213297486305237, 'llm', 2), ('tairov/llama2.mojo', 0.7085148692131042, 'llm', 1), ('abetlen/llama-cpp-python', 0.700358510017395, 'llm', 2), ('tloen/alpaca-lora', 0.6226324439048767, 'llm', 2), ('jzhang38/tinyllama', 0.6092095375061035, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.6008679866790771, 'llm', 0), ('openlm-research/open_llama', 0.5816770195960999, 'llm', 2), ('lightning-ai/lit-llama', 0.5731508731842041, 'llm', 2), ('zrrskywalker/llama-adapter', 0.5667337775230408, 'llm', 2), ('run-llama/llama-lab', 0.562117874622345, 'llm', 2), ('cg123/mergekit', 0.5536092519760132, 'llm', 1), ('ggerganov/llama.cpp', 0.5505987405776978, 'llm', 2), ('juncongmoo/pyllama', 0.5485102534294128, 'llm', 0), ('hao-ai-lab/lookaheaddecoding', 0.5299458503723145, 'llm', 0), ('openai/gpt-2', 0.5193938612937927, 'llm', 0), ('sjtu-ipads/powerinfer', 0.5126661062240601, 'llm', 1)]

data

https://github.com/apache/spark

[]

[]

[]

apache/spark

spark

Scala

https://spark.apache.org/

Apache Spark - A unified analytics engine for large-scale data processing

apache

2024-01-14

2014-02-25

https://avatars.githubusercontent.com/u/47359?v=4

Apache Spark - A unified analytics engine for large-scale data processing

['big-data', 'java', 'jdbc', 'r', 'scala', 'spark', 'sql']

['big-data', 'java', 'jdbc', 'r', 'scala', 'spark', 'sql']

2024-01-13

[('fugue-project/fugue', 0.6404576897621155, 'pandas', 2), ('airbytehq/airbyte', 0.6244115829467773, 'data', 1), ('apache/incubator-sedona', 0.5984252095222473, 'gis', 2), ('lithops-cloud/lithops', 0.5891563296318054, 'ml-ops', 1), ('vaexio/vaex', 0.5628867149353027, 'perf', 0), ('mage-ai/mage-ai', 0.5627126693725586, 'ml-ops', 2), ('ydataai/ydata-profiling', 0.546349048614502, 'pandas', 0), ('hi-primus/optimus', 0.5423697233200073, 'ml-ops', 1), ('pola-rs/polars', 0.5380522608757019, 'pandas', 0), ('spotify/luigi', 0.537491500377655, 'ml-ops', 0), ('kestra-io/kestra', 0.5336428284645081, 'ml-ops', 0), ('eventual-inc/daft', 0.5322152972221375, 'pandas', 0), ('ibis-project/ibis', 0.5312047004699707, 'data', 1), ('polyaxon/datatile', 0.529706597328186, 'pandas', 1), ('dmlc/xgboost', 0.5240032076835632, 'ml', 0), ('aws/aws-sdk-pandas', 0.5226028561592102, 'pandas', 0), ('flyteorg/flyte', 0.5193337202072144, 'ml-ops', 0), ('airbnb/omniduct', 0.5120821595191956, 'data', 0), ('tobymao/sqlglot', 0.5114732980728149, 'data', 2), ('apache/arrow', 0.5110272765159607, 'data', 0), ('streamlit/streamlit', 0.505164384841919, 'viz', 0), ('apache/superset', 0.5012211203575134, 'viz', 0), ('saulpw/visidata', 0.5010607838630676, 'term', 0)]

llm

https://github.com/geekan/metagpt

[]

[]

[]

geekan/metagpt

MetaGPT

Python

https://deepwisdom.ai/

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

geekan

2024-01-14

2023-06-30

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

['agent', 'gpt', 'llm', 'metagpt', 'multi-agent']

['agent', 'gpt', 'llm', 'metagpt', 'multi-agent']

2024-01-11

[('assafelovic/gpt-researcher', 0.6312734484672546, 'llm', 0), ('linksoul-ai/autoagents', 0.6280576586723328, 'llm', 0), ('operand/agency', 0.6091906428337097, 'llm', 2), ('mnotgod96/appagent', 0.5650525093078613, 'llm', 2), ('transformeroptimus/superagi', 0.5468068718910217, 'llm', 1), ('microsoft/autogen', 0.5422032475471497, 'llm', 1), ('yoheinakajima/babyagi', 0.5191521644592285, 'llm', 0), ('zacwellmer/worldmodels', 0.5185655355453491, 'ml-rl', 0), ('langchain-ai/langgraph', 0.5153509974479675, 'llm', 0), ('jina-ai/thinkgpt', 0.5057692527770996, 'llm', 0)]

ml-ops

https://github.com/ray-project/ray

[]

[]

[]

ray-project/ray

ray

Python

https://ray.io

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray-project

2024-01-14

2016-10-25

https://avatars.githubusercontent.com/u/22125274?v=4

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

['automl', 'data-science', 'deep-learning', 'deployment', 'distributed', 'hyperparameter-optimization', 'hyperparameter-search', 'java', 'llm-serving', 'machine-learning', 'model-selection', 'optimization', 'parallel', 'pytorch', 'ray', 'reinforcement-learning', 'rllib', 'serving', 'tensorflow']

['automl', 'data-science', 'deep-learning', 'deployment', 'distributed', 'hyperparameter-optimization', 'hyperparameter-search', 'java', 'llm-serving', 'machine-learning', 'model-selection', 'optimization', 'parallel', 'pytorch', 'ray', 'reinforcement-learning', 'rllib', 'serving', 'tensorflow']

2024-01-13

[('ray-project/ray-educational-materials', 0.7717517614364624, 'study', 3), ('horovod/horovod', 0.6456006169319153, 'ml-ops', 5), ('alpa-projects/alpa', 0.6443263292312622, 'ml-dl', 2), ('determined-ai/determined', 0.6333746314048767, 'ml-ops', 7), ('merantix-momentum/squirrel-core', 0.6162523627281189, 'ml', 6), ('microsoft/nni', 0.6101014018058777, 'ml', 8), ('plasma-umass/scalene', 0.6044383645057678, 'profiling', 0), ('microsoft/deepspeed', 0.5907596349716187, 'ml-dl', 3), ('uber/fiber', 0.5900027751922607, 'data', 1), ('microsoft/onnxruntime', 0.5840818285942078, 'ml', 4), ('google/vizier', 0.5806607604026794, 'ml', 4), ('explosion/thinc', 0.5737190246582031, 'ml-dl', 4), ('tensorlayer/tensorlayer', 0.5710065960884094, 'ml-rl', 3), ('hpcaitech/colossalai', 0.5699094533920288, 'llm', 1), ('google/trax', 0.568706214427948, 'ml-dl', 3), ('mlc-ai/mlc-llm', 0.568311333656311, 'llm', 0), ('google/tf-quant-finance', 0.5673449039459229, 'finance', 1), ('tensorflow/tensorflow', 0.5655400156974792, 'ml-dl', 4), ('transformeroptimus/superagi', 0.5615883469581604, 'llm', 0), ('karpathy/micrograd', 0.5609050393104553, 'study', 0), ('pytorchlightning/pytorch-lightning', 0.5608101487159729, 'ml-dl', 4), ('mlflow/mlflow', 0.5602455139160156, 'ml-ops', 1), ('pytorch/rl', 0.5598548054695129, 'ml-rl', 3), ('ray-project/ray-llm', 0.5598110556602478, 'llm', 3), ('keras-team/autokeras', 0.5593129396438599, 'ml-dl', 4), ('microsoft/flaml', 0.5589168667793274, 'ml', 5), ('activeloopai/deeplake', 0.5552250146865845, 'ml-ops', 5), ('wandb/client', 0.5538603067398071, 'ml', 8), ('gradio-app/gradio', 0.5529914498329163, 'viz', 3), ('tensorflow/tensor2tensor', 0.5493798851966858, 'ml', 3), ('googlecloudplatform/vertex-ai-samples', 0.549000084400177, 'ml', 1), ('intel/intel-extension-for-pytorch', 0.5487441420555115, 'perf', 3), ('unity-technologies/ml-agents', 0.5486295223236084, 'ml-rl', 3), ('jina-ai/jina', 0.5483666062355042, 'ml', 2), ('epistasislab/tpot', 0.5462473034858704, 'ml', 5), ('polyaxon/polyaxon', 0.5454540252685547, 'ml-ops', 7), ('ml-tooling/opyrator', 0.5436031818389893, 'viz', 2), ('nvidia/deeplearningexamples', 0.5435977578163147, 'ml-dl', 3), ('bentoml/bentoml', 0.5420705080032349, 'ml-ops', 2), ('google/gin-config', 0.5417131185531616, 'util', 1), ('nccr-itmo/fedot', 0.541328489780426, 'ml-ops', 3), ('salesforce/logai', 0.5410916805267334, 'util', 1), ('superduperdb/superduperdb', 0.5404704809188843, 'data', 2), ('paddlepaddle/paddle', 0.5365186333656311, 'ml-dl', 2), ('kubeflow/fairing', 0.5362722873687744, 'ml-ops', 0), ('huggingface/transformers', 0.535620391368866, 'nlp', 4), ('dask/dask-ml', 0.5340972542762756, 'ml', 0), ('fugue-project/fugue', 0.5340755581855774, 'pandas', 2), ('denys88/rl_games', 0.5337716937065125, 'ml-rl', 3), ('apache/incubator-mxnet', 0.5308846235275269, 'ml-dl', 0), ('uber/petastorm', 0.5304347276687622, 'data', 4), ('sail-sg/envpool', 0.529890775680542, 'sim', 1), ('fastai/fastcore', 0.528685986995697, 'util', 0), ('rafiqhasan/auto-tensorflow', 0.5257235169410706, 'ml-dl', 3), ('intel/scikit-learn-intelex', 0.5234288573265076, 'perf', 1), ('huggingface/datasets', 0.5230560898780823, 'nlp', 4), ('titanml/takeoff', 0.5229300856590271, 'llm', 1), ('pytorch/pytorch', 0.5206745862960815, 'ml-dl', 2), ('optuna/optuna', 0.5129156112670898, 'ml', 4), ('oegedijk/explainerdashboard', 0.5122550129890442, 'ml-interpretability', 0), ('salesforce/warp-drive', 0.5116983652114868, 'ml-rl', 3), ('onnx/onnx', 0.5107229948043823, 'ml', 4), ('ashleve/lightning-hydra-template', 0.510144054889679, 'util', 2), ('qdrant/qdrant', 0.5096204280853271, 'data', 1), ('mosaicml/composer', 0.5085017085075378, 'ml-dl', 3), ('bigscience-workshop/petals', 0.5073845386505127, 'data', 3), ('lutzroeder/netron', 0.5069729685783386, 'ml', 4), ('huggingface/optimum', 0.5062342286109924, 'ml', 2), ('fmind/mlops-python-package', 0.5060107111930847, 'template', 0), ('ggerganov/ggml', 0.505761981010437, 'ml', 1), ('pytorch/ignite', 0.504410982131958, 'ml-dl', 3), ('mindsdb/mindsdb', 0.5041195154190063, 'data', 1), ('automl/auto-sklearn', 0.5039158463478088, 'ml', 3), ('aws/sagemaker-python-sdk', 0.5026758909225464, 'ml', 3), ('polyaxon/datatile', 0.5014405846595764, 'pandas', 3), ('ddbourgin/numpy-ml', 0.5012813210487366, 'ml', 2), ('microsoft/lmops', 0.5007473826408386, 'llm', 0)]

ml-dl

https://github.com/pytorchlightning/pytorch-lightning

[]

[]

[]

pytorchlightning/pytorch-lightning

pytorch-lightning

Python

https://lightning.ai

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

pytorchlightning

2024-01-14

2019-03-31

https://avatars.githubusercontent.com/u/58386951?v=4

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

['ai', 'artificial-intelligence', 'data-science', 'deep-learning', 'machine-learning', 'pytorch']

['ai', 'artificial-intelligence', 'data-science', 'deep-learning', 'machine-learning', 'pytorch']

2024-01-11

[('mlc-ai/mlc-llm', 0.6401709914207458, 'llm', 0), ('googlecloudplatform/vertex-ai-samples', 0.6309098601341248, 'ml', 2), ('hpcaitech/colossalai', 0.6259893178939819, 'llm', 2), ('antonosika/gpt-engineer', 0.6123632192611694, 'llm', 1), ('bentoml/bentoml', 0.6110719442367554, 'ml-ops', 3), ('microsoft/onnxruntime', 0.5993390083312988, 'ml', 3), ('microsoft/lmops', 0.5851262211799622, 'llm', 0), ('onnx/onnx', 0.574492335319519, 'ml', 3), ('salesforce/warp-drive', 0.5696126222610474, 'ml-rl', 2), ('nvidia/deeplearningexamples', 0.5674681067466736, 'ml-dl', 2), ('alpa-projects/alpa', 0.5670627951622009, 'ml-dl', 2), ('pytorch/pytorch', 0.5660499334335327, 'ml-dl', 2), ('prefecthq/marvin', 0.5638337135314941, 'nlp', 1), ('ray-project/ray', 0.5608101487159729, 'ml-ops', 4), ('torantulino/auto-gpt', 0.5608023405075073, 'llm', 2), ('huggingface/accelerate', 0.5604153871536255, 'ml', 0), ('sweepai/sweep', 0.557704508304596, 'llm', 1), ('tensorflow/tensorflow', 0.5566743612289429, 'ml-dl', 2), ('mindsdb/mindsdb', 0.5564075708389282, 'data', 3), ('nyandwi/modernconvnets', 0.5557078123092651, 'ml-dl', 0), ('ludwig-ai/ludwig', 0.5543079972267151, 'ml-ops', 4), ('determined-ai/determined', 0.55375736951828, 'ml-ops', 4), ('google/trax', 0.550957202911377, 'ml-dl', 2), ('rafiqhasan/auto-tensorflow', 0.5506039261817932, 'ml-dl', 1), ('microsoft/promptflow', 0.5492174029350281, 'llm', 1), ('cheshire-cat-ai/core', 0.5489669442176819, 'llm', 1), ('activeloopai/deeplake', 0.5463938117027283, 'ml-ops', 5), ('jina-ai/jina', 0.5442116260528564, 'ml', 2), ('keras-rl/keras-rl', 0.5397281050682068, 'ml-rl', 1), ('microsoft/semantic-kernel', 0.5393573641777039, 'llm', 2), ('huggingface/datasets', 0.5380210280418396, 'nlp', 3), ('oegedijk/explainerdashboard', 0.5369613766670227, 'ml-interpretability', 0), ('bigscience-workshop/petals', 0.536682665348053, 'data', 3), ('reloadware/reloadium', 0.5348438024520874, 'profiling', 2), ('google/tf-quant-finance', 0.534396767616272, 'finance', 0), ('horovod/horovod', 0.5334360599517822, 'ml-ops', 3), ('mosaicml/composer', 0.5314188599586487, 'ml-dl', 3), ('polyaxon/polyaxon', 0.529716968536377, 'ml-ops', 5), ('plasma-umass/scalene', 0.5295047760009766, 'profiling', 0), ('operand/agency', 0.526900053024292, 'llm', 3), ('transformeroptimus/superagi', 0.5248159170150757, 'llm', 2), ('microsoft/nni', 0.52174973487854, 'ml', 4), ('mlflow/mlflow', 0.5213505029678345, 'ml-ops', 2), ('google/dopamine', 0.5187596082687378, 'ml-rl', 1), ('unity-technologies/ml-agents', 0.5169978737831116, 'ml-rl', 2), ('intel/intel-extension-for-pytorch', 0.5152040123939514, 'perf', 3), ('explosion/thinc', 0.5136130452156067, 'ml-dl', 5), ('microsoft/deepspeed', 0.5130410194396973, 'ml-dl', 3), ('lastmile-ai/aiconfig', 0.5128691792488098, 'util', 1), ('blackhc/toma', 0.5127522945404053, 'ml-dl', 3), ('uber/fiber', 0.512328028678894, 'data', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5122131109237671, 'study', 3), ('deepmind/dm_control', 0.5117486715316772, 'ml-rl', 3), ('ddbourgin/numpy-ml', 0.5105450749397278, 'ml', 1), ('tensorlayer/tensorlayer', 0.5099591612815857, 'ml-rl', 2), ('tlkh/tf-metal-experiments', 0.5083010792732239, 'perf', 1), ('lutzroeder/netron', 0.5080562829971313, 'ml', 4), ('adap/flower', 0.5078296065330505, 'ml-ops', 5), ('tensorflow/tensor2tensor', 0.5069326758384705, 'ml', 2), ('google-research/google-research', 0.5055912733078003, 'ml', 2), ('pytorch/glow', 0.5054729580879211, 'ml', 0), ('neuralmagic/deepsparse', 0.5051679015159607, 'nlp', 0), ('nvidia/tensorrt-llm', 0.5039601922035217, 'viz', 0), ('pythagora-io/gpt-pilot', 0.5030331015586853, 'llm', 1), ('skypilot-org/skypilot', 0.5027073621749878, 'llm', 3), ('aimhubio/aim', 0.5019053220748901, 'ml-ops', 4)]

term

https://github.com/willmcgugan/textual

[]

[]

[]

willmcgugan/textual

textual

Python

https://textual.textualize.io/

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

willmcgugan

2024-01-14

2021-04-08

https://avatars.githubusercontent.com/u/93378883?v=4

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

['cli', 'framework', 'rich', 'terminal', 'tui']

['cli', 'framework', 'rich', 'terminal', 'tui']

2024-01-12

[('r0x0r/pywebview', 0.6927530765533447, 'gui', 0), ('pallets/flask', 0.6732026934623718, 'web', 0), ('plotly/dash', 0.6724681854248047, 'viz', 0), ('bottlepy/bottle', 0.661994218826294, 'web', 0), ('eleutherai/pyfra', 0.6594876646995544, 'ml', 0), ('hoffstadt/dearpygui', 0.6536368131637573, 'gui', 0), ('masoniteframework/masonite', 0.6535159349441528, 'web', 1), ('flet-dev/flet', 0.6341605186462402, 'web', 0), ('kivy/kivy', 0.632539689540863, 'util', 0), ('reflex-dev/reflex', 0.6325315237045288, 'web', 1), ('pyinfra-dev/pyinfra', 0.6321539878845215, 'util', 0), ('pypy/pypy', 0.6274396181106567, 'util', 0), ('vitalik/django-ninja', 0.6247105002403259, 'web', 0), ('webpy/webpy', 0.6224280595779419, 'web', 0), ('gradio-app/gradio', 0.6202593445777893, 'viz', 0), ('amaargiru/pyroad', 0.6114891171455383, 'study', 0), ('urwid/urwid', 0.6095877885818481, 'term', 0), ('holoviz/panel', 0.6071124076843262, 'viz', 0), ('tiangolo/fastapi', 0.6067060232162476, 'web', 1), ('klen/muffin', 0.6039458513259888, 'web', 0), ('beeware/toga', 0.5924068689346313, 'gui', 0), ('pysimplegui/pysimplegui', 0.589139997959137, 'gui', 0), ('pypa/hatch', 0.5866153836250305, 'util', 1), ('parthjadhav/tkinter-designer', 0.5848771333694458, 'gui', 0), ('micropython/micropython', 0.5815902352333069, 'util', 0), ('fastai/fastcore', 0.5812305808067322, 'util', 0), ('hugapi/hug', 0.5758522152900696, 'util', 0), ('timofurrer/awesome-asyncio', 0.575556218624115, 'study', 0), ('jquast/blessed', 0.5734678506851196, 'term', 2), ('ethereum/web3.py', 0.5721923112869263, 'crypto', 0), ('alphasecio/langchain-examples', 0.570219874382019, 'llm', 0), ('google/gin-config', 0.5691657662391663, 'util', 0), ('quantconnect/lean', 0.5675188899040222, 'finance', 0), ('python-restx/flask-restx', 0.5673668384552002, 'web', 0), ('backtick-se/cowait', 0.5645186305046082, 'util', 0), ('dylanhogg/awesome-python', 0.5644351243972778, 'study', 0), ('1200wd/bitcoinlib', 0.5643294453620911, 'crypto', 0), ('kubeflow/fairing', 0.5632326006889343, 'ml-ops', 0), ('falconry/falcon', 0.562833845615387, 'web', 1), ('pympler/pympler', 0.5624990463256836, 'perf', 0), ('malloydata/malloy-py', 0.5623626708984375, 'data', 0), ('dddomodossola/remi', 0.5620313882827759, 'gui', 0), ('minimaxir/simpleaichat', 0.5615967512130737, 'llm', 0), ('ploomber/ploomber', 0.5585596561431885, 'ml-ops', 0), ('reloadware/reloadium', 0.5569230318069458, 'profiling', 0), ('buildbot/buildbot', 0.5555017590522766, 'util', 0), ('sourcery-ai/sourcery', 0.5534403920173645, 'util', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5517593026161194, 'template', 0), ('pypa/pipenv', 0.5516801476478577, 'util', 0), ('pallets/quart', 0.5513238906860352, 'web', 0), ('plotly/plotly.py', 0.5511562824249268, 'viz', 0), ('scrapy/scrapy', 0.5489547252655029, 'data', 1), ('pylons/pyramid', 0.5482103228569031, 'web', 0), ('goldmansachs/gs-quant', 0.5451081991195679, 'finance', 0), ('python/cpython', 0.542621910572052, 'util', 0), ('wxwidgets/phoenix', 0.5400227308273315, 'gui', 0), ('pygamelib/pygamelib', 0.539828896522522, 'gamedev', 0), ('asacristani/fastapi-rocket-boilerplate', 0.5363441109657288, 'template', 0), ('pytoolz/toolz', 0.5360779166221619, 'util', 0), ('tiangolo/sqlmodel', 0.5339970588684082, 'data', 0), ('voila-dashboards/voila', 0.5331439971923828, 'jupyter', 0), ('beeware/briefcase', 0.5323150753974915, 'util', 0), ('bokeh/bokeh', 0.5320950150489807, 'viz', 0), ('pallets/werkzeug', 0.5303859114646912, 'web', 0), ('alexmojaki/snoop', 0.5284596681594849, 'debug', 0), ('cython/cython', 0.52788907289505, 'util', 0), ('polyaxon/datatile', 0.5274295806884766, 'pandas', 0), ('clips/pattern', 0.5270101428031921, 'nlp', 0), ('orchest/orchest', 0.526781439781189, 'ml-ops', 0), ('pytables/pytables', 0.5240064263343811, 'data', 0), ('pyston/pyston', 0.5220023393630981, 'util', 0), ('facebookresearch/hydra', 0.5213847160339355, 'util', 0), ('pyglet/pyglet', 0.5208635330200195, 'gamedev', 0), ('pyscript/pyscript-cli', 0.5197693109512329, 'web', 0), ('pypa/build', 0.5193080306053162, 'util', 0), ('cherrypy/cherrypy', 0.5189430117607117, 'web', 0), ('prefecthq/server', 0.5155190229415894, 'util', 0), ('faster-cpython/ideas', 0.5151427388191223, 'perf', 0), ('samuelcolvin/python-devtools', 0.5147838592529297, 'debug', 0), ('fmind/mlops-python-package', 0.5143515467643738, 'template', 0), ('simple-salesforce/simple-salesforce', 0.5137646198272705, 'data', 0), ('federicoceratto/dashing', 0.5119619369506836, 'term', 1), ('gaogaotiantian/viztracer', 0.5108093023300171, 'profiling', 0), ('ofek/pyapp', 0.5099067091941833, 'util', 1), ('huggingface/huggingface_hub', 0.5090726613998413, 'ml', 0), ('kitao/pyxel', 0.5071513056755066, 'gamedev', 0), ('landscapeio/prospector', 0.5064331889152527, 'util', 0), ('kalliope-project/kalliope', 0.5060406923294067, 'util', 0), ('google/python-fire', 0.5056248307228088, 'term', 1), ('microsoft/playwright-python', 0.5054807662963867, 'testing', 0), ('sumerc/yappi', 0.5049981474876404, 'profiling', 0), ('cohere-ai/notebooks', 0.5048252940177917, 'llm', 0), ('dosisod/refurb', 0.5046628713607788, 'util', 1), ('merantix-momentum/squirrel-core', 0.50379478931427, 'ml', 0), ('django/django', 0.5026986598968506, 'web', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5023050904273987, 'study', 0), ('avaiga/taipy', 0.5015890002250671, 'data', 0), ('pexpect/pexpect', 0.5012505054473877, 'util', 0), ('replicate/replicate-python', 0.5011894106864929, 'ml', 0), ('ianmiell/shutit', 0.5011722445487976, 'util', 0), ('rawheel/fastapi-boilerplate', 0.5006387233734131, 'web', 0)]

diffusion

https://github.com/comfyanonymous/comfyui

['gui']

[]

[]

comfyanonymous/comfyui

ComfyUI

Python

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

comfyanonymous

2024-01-14

2023-01-17

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

['pytorch', 'stable-diffusion']

['gui', 'pytorch', 'stable-diffusion']

2024-01-13

[('carson-katri/dream-textures', 0.6763654947280884, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.6438121199607849, 'diffusion', 2), ('stability-ai/stability-sdk', 0.6112304925918579, 'diffusion', 1), ('mlc-ai/web-stable-diffusion', 0.6069907546043396, 'diffusion', 1), ('civitai/sd_civitai_extension', 0.6050902009010315, 'llm', 0), ('bentoml/onediffusion', 0.5863965749740601, 'diffusion', 1), ('divamgupta/diffusionbee-stable-diffusion-ui', 0.5425298810005188, 'diffusion', 1), ('xavierxiao/dreambooth-stable-diffusion', 0.5401220321655273, 'diffusion', 2), ('divamgupta/stable-diffusion-tensorflow', 0.5308429002761841, 'diffusion', 0), ('tanelp/tiny-diffusion', 0.5260990858078003, 'diffusion', 0), ('thereforegames/unprompted', 0.5250580906867981, 'diffusion', 1), ('graphistry/pygraphistry', 0.503555953502655, 'data', 0), ('lkwq007/stablediffusion-infinity', 0.5033169388771057, 'diffusion', 2), ('westhealth/pyvis', 0.5001736283302307, 'graph', 0)]

ml

https://github.com/ml-explore/mlx

['numpy', 'apple-silicon', 'jax']

MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

[]

[]

ml-explore/mlx

mlx

C++

MLX: An array framework for Apple silicon

ml-explore

2024-01-14

2023-11-28

https://avatars.githubusercontent.com/u/102832242?v=4

MLX: An array framework for Apple silicon

[]

['apple-silicon', 'jax', 'numpy']

2024-01-13

[('tlkh/tf-metal-experiments', 0.6006742119789124, 'perf', 0), ('tlkh/asitop', 0.5542373061180115, 'perf', 1), ('xl0/lovely-numpy', 0.5240765810012817, 'util', 1), ('apple/ml-stable-diffusion', 0.5221449136734009, 'diffusion', 0), ('arogozhnikov/einops', 0.5031680464744568, 'ml-dl', 2), ('mrdbourke/m1-machine-learning-test', 0.5017737150192261, 'ml', 0)]

util

https://github.com/psf/black

['code-quality']

[]

[]

psf/black

black

Python

https://black.readthedocs.io/en/stable/

The uncompromising Python code formatter

psf

2024-01-14

2018-03-14

https://avatars.githubusercontent.com/u/50630501?v=4

The uncompromising Python code formatter

['autopep8', 'code', 'codeformatter', 'formatter', 'gofmt', 'pre-commit-hook', 'yapf']

['autopep8', 'code', 'code-quality', 'codeformatter', 'formatter', 'gofmt', 'pre-commit-hook', 'yapf']

2024-01-11

[('grantjenks/blue', 0.9170903563499451, 'util', 7), ('hhatto/autopep8', 0.7485063672065735, 'util', 2), ('google/yapf', 0.6890390515327454, 'util', 2), ('astral-sh/ruff', 0.6487815976142883, 'util', 1), ('rubik/radon', 0.609166145324707, 'util', 0), ('pycqa/flake8', 0.6002591848373413, 'util', 1), ('google/pytype', 0.5877479314804077, 'typing', 1), ('eugeneyan/python-collab-template', 0.5849995613098145, 'template', 0), ('instagram/monkeytype', 0.5771250128746033, 'typing', 1), ('microsoft/pycodegpt', 0.5714641213417053, 'llm', 0), ('pre-commit/pre-commit', 0.5649186968803406, 'util', 1), ('asottile/pyupgrade', 0.5597057342529297, 'util', 1), ('pycqa/pylint-django', 0.5581016540527344, 'util', 0), ('nbqa-dev/nbqa', 0.5564059019088745, 'jupyter', 2), ('nedbat/coveragepy', 0.5479041337966919, 'testing', 0), ('landscapeio/prospector', 0.5413801670074463, 'util', 0), ('numba/llvmlite', 0.5366169810295105, 'util', 0), ('agronholm/typeguard', 0.5326973795890808, 'typing', 1), ('grahamdumpleton/wrapt', 0.527543306350708, 'util', 0), ('pygments/pygments', 0.5274278521537781, 'util', 0), ('hoffstadt/dearpygui', 0.5271217226982117, 'gui', 0), ('pypy/pypy', 0.5263950228691101, 'util', 0), ('facebook/pyre-check', 0.5206736922264099, 'typing', 1), ('instagram/libcst', 0.5167094469070435, 'util', 0), ('python/mypy', 0.5155326128005981, 'typing', 1), ('sourcery-ai/sourcery', 0.5155060291290283, 'util', 1), ('dosisod/refurb', 0.514424204826355, 'util', 0), ('google/latexify_py', 0.5119499564170837, 'util', 0), ('pypa/hatch', 0.5100483894348145, 'util', 0), ('microsoft/pyright', 0.5090447068214417, 'typing', 1), ('hadialqattan/pycln', 0.5089622735977173, 'util', 0), ('pdm-project/pdm', 0.5081842541694641, 'util', 0), ('python-rope/rope', 0.504595935344696, 'util', 0), ('pytoolz/toolz', 0.5029543042182922, 'util', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5026202201843262, 'study', 0)]

llm

https://github.com/transformeroptimus/superagi

[]

[]

[]

transformeroptimus/superagi

SuperAGI

Python

https://superagi.com/

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

transformeroptimus

2024-01-14

2023-05-13

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

['agents', 'agi', 'ai', 'artificial-general-intelligence', 'artificial-intelligence', 'autonomous-agents', 'gpt-4', 'llm', 'llmops', 'nextjs', 'openai', 'pinecone', 'superagi']

['agents', 'agi', 'ai', 'artificial-general-intelligence', 'artificial-intelligence', 'autonomous-agents', 'gpt-4', 'llm', 'llmops', 'nextjs', 'openai', 'pinecone', 'superagi']

2024-01-12

[('antonosika/gpt-engineer', 0.677440881729126, 'llm', 3), ('prefecthq/marvin', 0.6271318197250366, 'nlp', 4), ('operand/agency', 0.6139060258865356, 'llm', 8), ('torantulino/auto-gpt', 0.6111651659011841, 'llm', 5), ('oliveirabruno01/babyagi-asi', 0.5967099666595459, 'llm', 3), ('sweepai/sweep', 0.5931740403175354, 'llm', 2), ('google-research/language', 0.5880876779556274, 'nlp', 0), ('assafelovic/gpt-researcher', 0.5870476961135864, 'llm', 0), ('smol-ai/developer', 0.5681149363517761, 'llm', 1), ('superduperdb/superduperdb', 0.5671401023864746, 'data', 2), ('aimhubio/aim', 0.5632416605949402, 'ml-ops', 1), ('lastmile-ai/aiconfig', 0.5631660223007202, 'util', 2), ('ray-project/ray', 0.5615883469581604, 'ml-ops', 0), ('microsoft/lmops', 0.5605264902114868, 'llm', 2), ('mindsdb/mindsdb', 0.558373212814331, 'data', 3), ('mlc-ai/mlc-llm', 0.5498563051223755, 'llm', 1), ('krohling/bondai', 0.5482898354530334, 'llm', 2), ('geekan/metagpt', 0.5468068718910217, 'llm', 1), ('embedchain/embedchain', 0.5429883003234863, 'llm', 2), ('unity-technologies/ml-agents', 0.5418506264686584, 'ml-rl', 0), ('mlflow/mlflow', 0.5397615432739258, 'ml-ops', 1), ('cheshire-cat-ai/core', 0.5372999310493469, 'llm', 2), ('pythagora-io/gpt-pilot', 0.5368140935897827, 'llm', 2), ('yoheinakajima/babyagi', 0.5311616659164429, 'llm', 2), ('oegedijk/explainerdashboard', 0.5287240147590637, 'ml-interpretability', 0), ('googlecloudplatform/vertex-ai-samples', 0.5266525745391846, 'ml', 1), ('pytorchlightning/pytorch-lightning', 0.5248159170150757, 'ml-dl', 2), ('lucidrains/toolformer-pytorch', 0.5244137048721313, 'llm', 1), ('bentoml/bentoml', 0.5222785472869873, 'ml-ops', 2), ('netflix/metaflow', 0.5128297209739685, 'ml-ops', 1), ('aiwaves-cn/agents', 0.5044564604759216, 'nlp', 2), ('jina-ai/jina', 0.5039621591567993, 'ml', 1), ('microsoft/generative-ai-for-beginners', 0.5030859112739563, 'study', 2), ('modularml/mojo', 0.503006637096405, 'util', 1), ('invoke-ai/invokeai', 0.5029866695404053, 'diffusion', 1), ('projectmesa/mesa', 0.5027607083320618, 'sim', 0)]

data

https://github.com/airbytehq/airbyte

['data-engineering']

[]

[]

airbytehq/airbyte

airbyte

Python

https://airbyte.com

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

airbytehq

2024-01-14

2020-07-27

https://avatars.githubusercontent.com/u/59758427?v=4

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

['bigquery', 'change-data-capture', 'data', 'data-analysis', 'data-collection', 'data-engineering', 'data-integration', 'data-pipeline', 'elt', 'etl', 'java', 'mssql', 'mysql', 'pipeline', 'postgresql', 'redshift', 's3', 'self-hosted', 'snowflake']

['bigquery', 'change-data-capture', 'data', 'data-analysis', 'data-collection', 'data-engineering', 'data-integration', 'data-pipeline', 'elt', 'etl', 'java', 'mssql', 'mysql', 'pipeline', 'postgresql', 'redshift', 's3', 'self-hosted', 'snowflake']

2024-01-12

[('mage-ai/mage-ai', 0.7392861247062683, 'ml-ops', 6), ('orchest/orchest', 0.7260224223136902, 'ml-ops', 2), ('dagster-io/dagster', 0.6772870421409607, 'ml-ops', 3), ('simonw/datasette', 0.663290798664093, 'data', 0), ('kestra-io/kestra', 0.6355409622192383, 'ml-ops', 7), ('aws/aws-sdk-pandas', 0.6343478560447693, 'pandas', 4), ('meltano/meltano', 0.6305922865867615, 'ml-ops', 3), ('flyteorg/flyte', 0.6267026662826538, 'ml-ops', 2), ('apache/spark', 0.6244115829467773, 'data', 1), ('airbnb/omniduct', 0.6164752244949341, 'data', 0), ('ploomber/ploomber', 0.6143587827682495, 'ml-ops', 1), ('dagworks-inc/hamilton', 0.5934673547744751, 'ml-ops', 3), ('featureform/embeddinghub', 0.5929150581359863, 'nlp', 0), ('netflix/metaflow', 0.5793136954307556, 'ml-ops', 0), ('fugue-project/fugue', 0.5778406858444214, 'pandas', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5710554718971252, 'template', 1), ('dbt-labs/dbt-core', 0.5581380724906921, 'ml-ops', 1), ('zenodo/zenodo', 0.5533841252326965, 'util', 1), ('databricks/dbt-databricks', 0.5521032214164734, 'data', 1), ('apache/airflow', 0.5474141836166382, 'ml-ops', 4), ('ibis-project/ibis', 0.5454192161560059, 'data', 5), ('polyaxon/datatile', 0.5435851812362671, 'pandas', 0), ('saulpw/visidata', 0.5434727668762207, 'term', 0), ('avaiga/taipy', 0.5423561334609985, 'data', 2), ('hi-primus/optimus', 0.5406291484832764, 'ml-ops', 1), ('coleifer/peewee', 0.53973788022995, 'data', 0), ('lithops-cloud/lithops', 0.5396174788475037, 'ml-ops', 0), ('airbnb/knowledge-repo', 0.5395446419715881, 'data', 2), ('darribas/gds_env', 0.5391685962677002, 'gis', 0), ('linealabs/lineapy', 0.5353677272796631, 'jupyter', 0), ('streamlit/streamlit', 0.5340747833251953, 'viz', 1), ('backtick-se/cowait', 0.5309221148490906, 'util', 1), ('superduperdb/superduperdb', 0.5290766954421997, 'data', 1), ('dlt-hub/dlt', 0.5255663394927979, 'data', 3), ('tokern/data-lineage', 0.5245165824890137, 'data', 1), ('whylabs/whylogs', 0.5231224298477173, 'util', 1), ('tobymao/sqlglot', 0.5210596919059753, 'data', 4), ('databrickslabs/dbx', 0.5199562907218933, 'data', 0), ('great-expectations/great_expectations', 0.5163770914077759, 'ml-ops', 2), ('merantix-momentum/squirrel-core', 0.5148383975028992, 'ml', 0), ('kubeflow-kale/kale', 0.5148319005966187, 'ml-ops', 0), ('intake/intake', 0.5141798853874207, 'data', 0), ('piccolo-orm/piccolo_admin', 0.5102675557136536, 'data', 1), ('astronomer/astro-sdk', 0.5056763887405396, 'ml-ops', 6), ('pathwaycom/pathway', 0.5019164681434631, 'data', 0)]

llm

https://github.com/haotian-liu/llava