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Ross Wightman
56e2ac3a6d
Merge pull request #94 from rwightman/lr_noise
Learning rate noise, MobileNetV3 weights, and activate MobileNetV3/EfficientNet weight init change
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5 years ago |
.. |
layers
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Annotate types on drop fns to avoid torchscript error
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5 years ago |
__init__.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
densenet.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
dla.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
dpn.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
efficientnet.py
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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.
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5 years ago |
efficientnet_blocks.py
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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.
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5 years ago |
efficientnet_builder.py
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Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
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5 years ago |
factory.py
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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.
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5 years ago |
feature_hooks.py
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…
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gluon_resnet.py
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Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
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5 years ago |
gluon_xception.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
helpers.py
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…
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hrnet.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
inception_resnet_v2.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
inception_v3.py
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…
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inception_v4.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
mobilenetv3.py
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Add MobileNetV3 Large weights, results, update README and sotabench for merge
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5 years ago |
nasnet.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
pnasnet.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
registry.py
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…
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res2net.py
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Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
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5 years ago |
resnet.py
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Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
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5 years ago |
selecsls.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
senet.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |
sknet.py
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Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
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5 years ago |
xception.py
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Big move, layer modules and fn to timm/models/layers
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5 years ago |