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Ross Wightman b1f1228a41 Add ResNet101D, 152D, and 200D weights, remove meh 66d model		4 years ago
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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	added efficientnet pruned weights	5 years ago
__init__.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
cspnet.py	Add CSPResNet50 weights, 79.6 top-1 at 256x256	4 years ago
densenet.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
dla.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
dpn.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
efficientnet.py	Bug in last mod for features_only default_cfg	4 years ago
efficientnet_blocks.py	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
efficientnet_builder.py	Merge branch 'logger' into features. Change 'logger' to '_logger'.	4 years ago
factory.py	Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool	4 years ago
features.py	Fix some attributions, add copyrights to some file docstrings	4 years ago
gluon_resnet.py	fix test_model_default_cfgs	4 years ago
gluon_xception.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
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	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
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	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
mobilenetv3.py	Bug in last mod for features_only default_cfg	4 years ago
nasnet.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
pnasnet.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
registry.py	Fix some attributions, add copyrights to some file docstrings	4 years ago
regnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
res2net.py	Fix some checkpoint / model str regressions	4 years ago
resnest.py	fix test_model_default_cfgs	4 years ago
resnet.py	Add ResNet101D, 152D, and 200D weights, remove meh 66d model	4 years ago
rexnet.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
selecsls.py	fix test_model_default_cfgs	4 years ago
senet.py	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
sknet.py	fix test_model_default_cfgs	4 years ago
tresnet.py	Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'	4 years ago
vision_transformer.py	Add newly added vision transformer large/base 224x224 weights ported from JAX official repo	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	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
xception_aligned.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago