pytorch-image-models
https://github.com/huggingface/pytorch-image-models
Python
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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Help out
- Issues
- [FEATURE] Addition of missing typehints/docs
- tied augment implemented
- Packed Sequence Vision Transformer (aka NaViT)
- [FEATURE] Add model weights from Bamboo
- [FEATURE] Support for PyTorch-XLA 2.0
- [FEATURE] Support shufflenet
- [FEATURE] Is there any way to apply "the same" transformation on two images?
- [FEATURE] Comet ML Integration
- [FEATURE] could you add "PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices"?"
- [FEATURE] Weights of DINO fine-tuned on Imagenet?
- Docs
- Python not yet supported