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pytorch-image-models/timm/models
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Ross Wightman e8e2d9cabf Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
2020-09-24 18:20:36 -07:00
..
layers
More models in sotabench, more control over sotabench run, dataset filename extraction consistency
2020-09-24 15:56:57 -07:00
pruned
added efficientnet pruned weights
2020-05-03 09:29:45 +03:00
__init__.py
Rename csp.py -> cspnet.py
2020-07-27 11:15:07 -07:00
cspnet.py
Add CSPResNet50 weights, 79.6 top-1 at 256x256
2020-08-12 11:20:11 -07:00
densenet.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
dla.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
dpn.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
efficientnet_blocks.py
AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
2020-09-01 16:05:32 -07:00
efficientnet_builder.py
Merge branch 'logger' into features. Change 'logger' to '_logger'.
2020-07-27 18:00:46 -07:00
efficientnet.py
Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.
2020-09-23 17:12:07 -07:00
factory.py
Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
2020-09-02 16:13:47 -07:00
features.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
gluon_resnet.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
gluon_xception.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
helpers.py
Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.
2020-09-02 15:12:59 -07:00
hrnet.py
hrnet features_only pretrained weight loading issue. Fix #232.
2020-09-01 17:37:55 -07:00
inception_resnet_v2.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
inception_v3.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
inception_v4.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
mobilenetv3.py
Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head.
2020-08-18 14:11:30 -07:00
nasnet.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
pnasnet.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
registry.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
regnet.py
Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
2020-09-24 18:20:36 -07:00
res2net.py
Fix some checkpoint / model str regressions
2020-07-29 19:43:01 -07:00
resnest.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
resnet.py
Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.
2020-09-18 12:05:37 -07:00
rexnet.py
Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
2020-09-24 18:20:36 -07:00
selecsls.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
senet.py
AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
2020-09-01 16:05:32 -07:00
sknet.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
tresnet.py
Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
2020-09-02 09:11:48 -07:00
vovnet.py
Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
2020-09-24 18:20:36 -07:00
xception_aligned.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
xception.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00