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pytorch-image-models/timm/models
History
Ross Wightman fc8b8afb6f
Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance. 		4 years ago
..
layers Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance. 4 years ago
pruned added efficientnet pruned weights 5 years ago
__init__.py Rename csp.py -> cspnet.py 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 Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1 4 years ago
efficientnet_blocks.py Fix some attributions, add copyrights to some file docstrings 4 years ago
efficientnet_builder.py Merge branch 'logger' into features. Change 'logger' to '_logger'. 4 years ago
factory.py Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit. 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 Fix a few more issues related to #216 w/ TResNet (space2depth) and FP16 weights in wide resnets. Also don't completely dump pretrained weights in in_chans != 1 or 3 cases. 4 years ago
hrnet.py More uniform treatment of classifiers across all models, reduce code duplication. 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 More uniform treatment of classifiers across all models, reduce code duplication. 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 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 fix test_model_default_cfgs 4 years ago
rexnet.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
selecsls.py fix test_model_default_cfgs 4 years ago
senet.py Change default_cfg names for senet to include the legacy and match model names 4 years ago
sknet.py fix test_model_default_cfgs 4 years ago
tresnet.py fix test_model_default_cfgs 4 years ago
vovnet.py Fix some attributions, add copyrights to some file docstrings 4 years ago
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