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pytorch-image-models/timm/models
Ross Wightman 4e2533db77
Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
4 years ago
..
layers A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper. 4 years ago
pruned
__init__.py
cspnet.py
densenet.py
dla.py
dpn.py Remove some old __future__ imports 4 years ago
efficientnet.py Bug in last mod for features_only default_cfg 4 years ago
efficientnet_blocks.py
efficientnet_builder.py
factory.py
features.py
gluon_resnet.py
gluon_xception.py
helpers.py Add default_cfg back to models wrapped in feature extraction module as per discussion in #294. 4 years ago
hrnet.py Bug in last mod for features_only default_cfg 4 years ago
inception_resnet_v2.py
inception_v3.py A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper. 4 years ago
inception_v4.py
mobilenetv3.py Bug in last mod for features_only default_cfg 4 years ago
nasnet.py
pnasnet.py
registry.py
regnet.py
res2net.py
resnest.py
resnet.py Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg. 4 years ago
rexnet.py
selecsls.py
senet.py
sknet.py
tresnet.py
vision_transformer.py Add newly added vision transformer large/base 224x224 weights ported from JAX official repo 4 years ago
vovnet.py
xception.py
xception_aligned.py