huggingface/pytorch-image-models
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
PythonApache-2.0
Issues
- 6
- 0
[FEATURE] Refactor ReadMe
#2401 opened - 1
- 1
[FEATURE] ViT MAE linear probing weights
#2391 opened - 1
[BUG] Usefulness of `GlobalResponseNormMlp`
#2390 opened - 3
- 5
[BUG] RMSNorm implementation seems wrong
#2380 opened - 1
- 2
unexpected keyword argument 'cache_dir'
#2375 opened - 7
Broken image link in the `quickstart` document
#2374 opened - 0
[FEATURE] feature extraction stages
#2371 opened - 1
[BUG] feature_info.channels() is not match
#2370 opened - 1
[BUG] When I used the ImageNet Training Script to train my model, an unknown error occurred.
#2365 opened - 1
[FEATURE] add t2t_vit
#2364 opened - 1
- 1
- 3
- 3
[BUG] Attribute aa in ConvNormAct not found
#2352 opened - 7
- 1