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pytorch-image-models/timm/models
Ross Wightman f57db99101
Update README, fix iabn pip version print.
4 years ago
..
layers Update README, fix iabn pip version print. 4 years ago
pruned
__init__.py Initial AGC impl. Still testing. 4 years ago
byobnet.py Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments. 4 years ago
cspnet.py Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk() 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 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
efficientnet.py Bug in last mod for features_only default_cfg 4 years ago
efficientnet_blocks.py Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414 4 years ago
efficientnet_builder.py Merge branch 'logger' into features. Change 'logger' to '_logger'. 4 years ago
factory.py ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing. 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 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
helpers.py Initial AGC impl. Still testing. 4 years ago
hrnet.py Bug in last mod for features_only default_cfg 4 years ago
inception_resnet_v2.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
inception_v3.py Fix a few small things. 4 years ago
inception_v4.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
mobilenetv3.py Bug in last mod for features_only default_cfg 4 years ago
nasnet.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
nfnet.py Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump. 4 years ago
pnasnet.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago
registry.py Fix some attributions, add copyrights to some file docstrings 4 years ago
regnet.py Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args. 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 some half removed resnet model defs, pooling for ecaresnet269d 4 years ago
resnetv2.py Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump. 4 years ago
rexnet.py Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump. 4 years ago
selecsls.py fix test_model_default_cfgs 4 years ago
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 4 years ago
sknet.py fix test_model_default_cfgs 4 years ago
tresnet.py Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast' 4 years ago
vgg.py Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models. 4 years ago
vision_transformer.py Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring. 4 years ago
vovnet.py Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args. 4 years ago
xception.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
xception_aligned.py Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 4 years ago