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Ross Wightman 27a93e9de7 Improve test crop for ViT models. Small now 77.85, added base weights at 79.35 top-1.		4 years ago
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layers	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
pruned	…
__init__.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
cspnet.py	…
densenet.py	…
dla.py	…
dpn.py	…
efficientnet.py	Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.	4 years ago
efficientnet_blocks.py	…
efficientnet_builder.py	…
factory.py	…
features.py	…
gluon_resnet.py	…
gluon_xception.py	…
helpers.py	…
hrnet.py	…
inception_resnet_v2.py	…
inception_v3.py	…
inception_v4.py	…
mobilenetv3.py	…
nasnet.py	…
pnasnet.py	…
registry.py	…
regnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
res2net.py	…
resnest.py	…
resnet.py	Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.	4 years ago
rexnet.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
selecsls.py	…
senet.py	…
sknet.py	…
tresnet.py	…
vision_transformer.py	Improve test crop for ViT models. Small now 77.85, added base weights at 79.35 top-1.	4 years ago
vovnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
xception.py	…
xception_aligned.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago