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pytorch-image-models/timm/models
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Ross Wightman a39cc43374 Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 
* Split MobileNetV3 and EfficientNet model files and put builder and blocks in own files (getting too large)
* Finalize CondConv EfficientNet variant
* Add the AdvProp weights files and B8 EfficientNet model
* Refine the feature extraction module for EfficientNet and MobileNetV3
 		2019-11-28 17:04:35 -08:00
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__init__.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
activations.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
adaptive_avgmax_pool.py
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conv2d_layers.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
densenet.py Fix typo in Densenet default resolutions 2019-07-03 22:11:26 -07:00
dla.py Add Res2Net and DLA models w/ pretrained weights. Update sotabench. 2019-09-04 17:06:42 -07:00
dpn.py Register dpn107 2019-06-30 09:57:06 -07:00
efficientnet_blocks.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
efficientnet_builder.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
factory.py Pass drop connect arg through to EfficientNet models 2019-11-22 13:27:43 -08:00
feature_hooks.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
gen_efficientnet.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
gluon_resnet.py Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights. 2019-06-29 15:50:33 -07:00
gluon_xception.py A few more additions to Gluon Xception models to match interface of others. 2019-08-11 23:06:23 -07:00
helpers.py Add CondConv support for EfficientNet into WIP for GenEfficientNet Feature extraction setup 2019-11-28 17:00:52 -08:00
hrnet.py Initial HRNet classification model commit 2019-11-28 17:00:52 -08:00
inception_resnet_v2.py Add model registry and model listing fns, refactor model_factory/create_model fn 2019-06-23 18:22:16 -07:00
inception_v3.py Update version, results csv files, and move remaining dropbox weights to github 2019-07-25 16:54:44 -07:00
inception_v4.py Add model registry and model listing fns, refactor model_factory/create_model fn 2019-06-23 18:22:16 -07:00
median_pool.py
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mobilenetv3.py Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 2019-11-28 17:04:35 -08:00
nasnet.py Add NASNet-Large model 2019-07-03 22:10:50 -07:00
pnasnet.py Add model registry and model listing fns, refactor model_factory/create_model fn 2019-06-23 18:22:16 -07:00
registry.py Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights. 2019-06-29 15:50:33 -07:00
res2net.py Fix Mobilenet V3 model name for sotabench. Minor res2net cleanup. 2019-09-05 15:47:56 -07:00
resnet.py Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights. 2019-10-19 17:05:37 -07:00
senet.py Update version, results csv files, and move remaining dropbox weights to github 2019-07-25 16:54:44 -07:00
test_time_pool.py
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xception.py Add model registry and model listing fns, refactor model_factory/create_model fn 2019-06-23 18:22:16 -07:00