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
- Missing features on "timm" package from pypi
- WIP Hiera implementation.
- [BUG] There is the error in timm/train.py when i use the Webdataset (timm/imagent-w21-wds in huggingface) with class map
- Add Intel's GPU / XPU support to TIMM's validation script
- Fiddling with efficientnet x/h defs, is it worth adding & training any?
- provide the pretrained model of cs3darknet_focus_s.c2ns_in1k
- [FEATURE] Add image backbones from `MobileCLIP` paper
- Add NPU backend support for val and inference
- Support third-party backend for Timm
- Fix Quantization Aware Training for BEIT, Eva, and SwinTransformerV2
- Docs
- Python not yet supported