Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Transformers | 146,878 | 64 | 2,484 | 2 days ago | 125 | November 15, 2023 | 946 | apache-2.0 | Python | |
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. | ||||||||||
Pytorch Image Models | 34,578 | 1 | 346 | 18 days ago | 55 | November 24, 2023 | 96 | apache-2.0 | Python | |
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more | ||||||||||
Segmentation_models.pytorch | 8,226 | 2 | 49 | 2 years ago | 13 | September 19, 2019 | 27 | mit | Python | |
Segmentation models with pretrained backbones. PyTorch. | ||||||||||
Petals | 8,040 | 1 | 2 years ago | 18 | November 20, 2023 | 76 | mit | Python | ||
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading | ||||||||||
Lmflow | 7,589 | a year ago | 29 | apache-2.0 | Python | |||||
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All. | ||||||||||
Open_clip | 7,355 | 54 | 2 years ago | 42 | October 24, 2023 | 130 | other | Jupyter Notebook | ||
An open source implementation of CLIP. | ||||||||||
Efficientnet Pytorch | 6,577 | 7 | 36 | 4 years ago | 13 | April 15, 2021 | 133 | apache-2.0 | Python | |
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!) | ||||||||||
Mmf | 5,568 | 3 months ago | 145 | other | Python | |||||
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) | ||||||||||
Pyannote Audio | 4,460 | 1 | 13 | a year ago | 24 | December 01, 2023 | 95 | mit | Jupyter Notebook | |
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding | ||||||||||
Efficient Ai Backbones | 4,250 | 4 months ago | 71 | Python | ||||||
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab. |