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Ross Wightman c1b3cea19d Add maxvit_rmlp_tiny_rw_256 model def and weights w/ 84.2 top-1 @ 256, 84.8 @ 320		2 years ago
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layers	Clean up no_grad for trunc normal weight inits	2 years ago
pruned	…
__init__.py	Add --fast-norm arg to benchmark.py, train.py, validate.py	2 years ago
beit.py	Add beitv2 224x224 checkpoints from https://github.com/microsoft/unilm/tree/master/beit2	2 years ago
byoanet.py	…
byobnet.py	…
cait.py	…
coat.py	…
convit.py	…
convmixer.py	…
convnext.py	For ConvNeXt, use timm internal LayerNorm for fast_norm in non conv_mlp mode	2 years ago
crossvit.py	…
cspnet.py	Add weights for two 'Edge' block (3x3->1x1) variants of CS3 networks.	2 years ago
deit.py	Add DeiT-III 'medium' model defs and weights	2 years ago
densenet.py	Fix two default args in DenseNet blocks... fix #1427	2 years ago
dla.py	…
dpn.py	…
edgenext.py	Add edgenext_base model def & weight link, update to improve ONNX export #1385	2 years ago
efficientformer.py	More test fixes, pool size for 256x256 maxvit models	2 years ago
efficientnet.py	…
efficientnet_blocks.py	…
efficientnet_builder.py	…
factory.py	…
features.py	…
fx_features.py	Update type hint for `register_notrace_module`	2 years ago
gcvit.py	Make gcvit window size ratio based to improve resolution changing support #1449. Change default init to original.	2 years ago
ghostnet.py	…
gluon_resnet.py	…
gluon_xception.py	…
hardcorenas.py	…
helpers.py	…
hrnet.py	…
hub.py	…
inception_resnet_v2.py	…
inception_v3.py	…
inception_v4.py	…
levit.py	…
maxxvit.py	Add maxvit_rmlp_tiny_rw_256 model def and weights w/ 84.2 top-1 @ 256, 84.8 @ 320	2 years ago
mlp_mixer.py	Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355	2 years ago
mobilenetv3.py	Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355	2 years ago
mobilevit.py	Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355	2 years ago
mvitv2.py	pretrained_cfg entry for mvitv2_small_cls	2 years ago
nasnet.py	…
nest.py	…
nfnet.py	…
pit.py	…
pnasnet.py	…
poolformer.py	…
pvt_v2.py	More model and test fixes	2 years ago
registry.py	…
regnet.py	…
res2net.py	…
resnest.py	…
resnet.py	…
resnetv2.py	…
rexnet.py	…
selecsls.py	…
senet.py	…
sequencer.py	…
sknet.py	…
swin_transformer.py	…
swin_transformer_v2.py	…
swin_transformer_v2_cr.py	…
tnt.py	…
tresnet.py	Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355	2 years ago
twins.py	…
vgg.py	…
visformer.py	…
vision_transformer.py	Take `no_emb_class` into account when calling `resize_pos_embed`	2 years ago
vision_transformer_hybrid.py	…
vision_transformer_relpos.py	…
volo.py	…
vovnet.py	…
xception.py	…
xception_aligned.py	…
xcit.py	…