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Ross Wightman 2f884a0ce5 Add resnest14, resnest26, and two of the abalation grouped resnest50 models		5 years ago
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layers	Add ResNeSt models	5 years ago
pruned	added efficientnet pruned weights	5 years ago
__init__.py	Add ResNeSt models	5 years ago
densenet.py	Big move, layer modules and fn to timm/models/layers	5 years ago
dla.py	Big move, layer modules and fn to timm/models/layers	5 years ago
dpn.py	Big move, layer modules and fn to timm/models/layers	5 years ago
efficientnet.py	added efficientnet pruned weights	5 years ago
efficientnet_blocks.py	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	5 years ago
efficientnet_builder.py	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	5 years ago
factory.py	Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.	5 years ago
feature_hooks.py	Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo	5 years ago
gluon_resnet.py	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases	5 years ago
gluon_xception.py	Big move, layer modules and fn to timm/models/layers	5 years ago
helpers.py	Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop	5 years ago
hrnet.py	Big move, layer modules and fn to timm/models/layers	5 years ago
inception_resnet_v2.py	Big move, layer modules and fn to timm/models/layers	5 years ago
inception_v3.py	Update version, results csv files, and move remaining dropbox weights to github	5 years ago
inception_v4.py	Big move, layer modules and fn to timm/models/layers	5 years ago
mobilenetv3.py	Merge changes in feature extraction interface to MobileNetV3	5 years ago
nasnet.py	Big move, layer modules and fn to timm/models/layers	5 years ago
pnasnet.py	Fix model create fn not passing num_classes through. Fix #135	5 years ago
registry.py	Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights.	5 years ago
res2net.py	Fix model create fn not passing num_classes through. Fix #135	5 years ago
resnest.py	Add resnest14, resnest26, and two of the abalation grouped resnest50 models	5 years ago
resnet.py	Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop	5 years ago
selecsls.py	Big move, layer modules and fn to timm/models/layers	5 years ago
senet.py	Big move, layer modules and fn to timm/models/layers	5 years ago
sknet.py	Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too.	5 years ago
tresnet.py	Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference	5 years ago
xception.py	Big move, layer modules and fn to timm/models/layers	5 years ago