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pytorch-image-models/timm/models
Ross Wightman 4b30bae67b
Add updated vit_relpos weights, and impl w/ support for official swin-v2 differences for relpos. Add bias control support for MLP layers
3 years ago
..
layers
pruned
__init__.py
beit.py
byoanet.py
byobnet.py
cait.py
coat.py
convit.py
convmixer.py
convnext.py
crossvit.py
cspnet.py
deit.py
densenet.py
dla.py
dpn.py
efficientnet.py
efficientnet_blocks.py
efficientnet_builder.py
factory.py
features.py
fx_features.py Make a few more layers symbolically traceable (remove from FX leaf modules) 3 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
mlp_mixer.py
mobilenetv3.py
mobilevit.py
nasnet.py
nest.py
nfnet.py
pit.py
pnasnet.py
poolformer.py
registry.py
regnet.py
res2net.py
resnest.py
resnet.py
resnetv2.py
rexnet.py
selecsls.py
senet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
sequencer.py
sknet.py
swin_transformer.py
swin_transformer_v2.py
swin_transformer_v2_cr.py
tnt.py
tresnet.py
twins.py
vgg.py
visformer.py
vision_transformer.py Adjust arg order for recent vit model args, add a few comments 3 years ago
vision_transformer_hybrid.py
vision_transformer_relpos.py
volo.py
vovnet.py
xception.py
xception_aligned.py
xcit.py