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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- Issues
- [FEATURE] convert model for 1D inputs
- [FEATURE] Support variable input size of maxvit and coatnet
- [FEATURE] Add the Distinction Maximization Loss (DisMax) to notably improve the OOD detection performance on ImageNet
- [FEATURE] Detection models with loss functions and trainers
- timm bits
- [FEATURE] Saving the 'epoch' argument in schedulers
- Add noisystudent train method
- [BUG] Training job cannot resume if LR scheduler is Plateau.
- Video dataset support
- AdvProp implementation
- Docs
- Python not yet supported