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pytorch-image-models/timm/models
History
Ross Wightman 33f8a1bf36
Updated README, add wide_resnet50_2 and seresnext50_32x4d weights 		4 years ago
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layers Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast' 4 years ago
pruned
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__init__.py
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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 Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1 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
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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 Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit. 4 years ago
hrnet.py hrnet features_only pretrained weight loading issue. Fix #232. 4 years ago
inception_resnet_v2.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
inception_v3.py fix test_model_default_cfgs 4 years ago
inception_v4.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
mobilenetv3.py Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head. 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
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regnet.py Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1 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 Updated README, add wide_resnet50_2 and seresnext50_32x4d weights 4 years ago
rexnet.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
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
vovnet.py
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xception.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
xception_aligned.py fix test_model_default_cfgs 4 years ago