Update imagenet & OOD test set eval results with current weights. Now… 4515a43· Aug 14, 2024 HistoryHistory This branch is 289 commits behind huggingface/pytorch-image-models:main.Folders and files Name Last
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[project.urls] homepage = "https://github.com/huggingface/pytorch-image-models" documentation = "https://huggingface.co/docs/timm/en/index" repository = "https://github.com/huggingface/pytorch-image-models" [tool.pdm.dev-dependencies] test = [ 'pytest', 'pytest-timeout', 'pytest-xdist',...
Import: - ./docs/models/*.md Library: Name: PyTorch Image Models Headline: PyTorch image models, scripts, pretrained weights Website: https://rwightman.github.io/pytorch-image-models/ Repository: https://github.com/rwightman/pytorch-image-models Docs: https://rwightman.github.io/pytorch-image...
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - pytorch-image-models/inference.py at main · exx8/pytorch-image-models
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PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - pytorch-image-models/README.md at main · programmermw1986/pytorch-ima
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,
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,
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 - pytorch-image-models/train.py at main · sp