Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'f04bdc8c8e'
${ noResults }
pytorch-image-models/timm/models
History
Ross Wightman e8e2d9cabf
Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args. 		4 years ago
..
layers More models in sotabench, more control over sotabench run, dataset filename extraction consistency 4 years ago
pruned
…
__init__.py
…
cspnet.py Add CSPResNet50 weights, 79.6 top-1 at 256x256 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 More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
efficientnet.py Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling. 4 years ago
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 4 years ago
efficientnet_builder.py
…
factory.py Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool 4 years ago
features.py
…
gluon_resnet.py fix test_model_default_cfgs 4 years ago
gluon_xception.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
helpers.py Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit. 4 years ago
hrnet.py hrnet features_only pretrained weight loading issue. Fix #232. 4 years ago
inception_resnet_v2.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
inception_v3.py fix test_model_default_cfgs 4 years ago
inception_v4.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
mobilenetv3.py Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head. 4 years ago
nasnet.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
pnasnet.py More uniform treatment of classifiers across all models, reduce code duplication. 4 years ago
registry.py
…
regnet.py Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args. 4 years ago
res2net.py
…
resnest.py fix test_model_default_cfgs 4 years ago
resnet.py Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D. 4 years ago
rexnet.py Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args. 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
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 test_model_default_cfgs 4 years ago