You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

Ross Wightman 0f5d9d8166 Add CSPResNet50 weights, 79.6 top-1 at 256x256		4 years ago
..
layers	More uniform treatment of classifiers across all models, reduce code duplication.	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