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pytorch-image-models/timm/models
Ross Wightman 406c486ba2
Merge remote-tracking branch 'origin/more_datasets' into bits_and_tpu
3 years ago
..
layers Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists 3 years ago
pruned
__init__.py Add ConvMixer 3 years ago
beit.py use .unbind instead of explicitly listing the indices 3 years ago
byoanet.py Update eca_halonext26ts weights to a better set 3 years ago
byobnet.py add d8 and e8 regnetz models with group size 8 3 years ago
cait.py Refactoring, cleanup, improved test coverage. 3 years ago
coat.py Refactoring, cleanup, improved test coverage. 3 years ago
convit.py Merge branch 'master' into cleanup_xla_model_fixes 3 years ago
convmixer.py Add ConvMixer 3 years ago
crossvit.py A few more crossvit tweaks, fix training w/ no_weight_decay names, add crop option for scaling, adjust default crop_pct for large img size to 1.0 for better results 3 years ago
cspnet.py
densenet.py
dla.py Refactoring, cleanup, improved test coverage. 3 years ago
dpn.py Refactoring, cleanup, improved test coverage. 3 years ago
efficientnet.py make it possible to provide norm_layer via create_model 3 years ago
efficientnet_blocks.py Remove dead code line from efficientnet 3 years ago
efficientnet_builder.py Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable. 4 years ago
factory.py
features.py
ghostnet.py Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713 3 years ago
gluon_resnet.py
gluon_xception.py
hardcorenas.py Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers. 4 years ago
helpers.py support bits checkpoints in avg/load 3 years ago
hrnet.py
hub.py
inception_resnet_v2.py
inception_v3.py
inception_v4.py
levit.py Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713 3 years ago
mlp_mixer.py Add gMLP-S weights, 79.6 top-1 3 years ago
mobilenetv3.py Refactoring, cleanup, improved test coverage. 3 years ago
nasnet.py
nest.py use .unbind instead of explicitly listing the indices 3 years ago
nfnet.py Refactoring, cleanup, improved test coverage. 3 years ago
pit.py Refactoring, cleanup, improved test coverage. 3 years ago
pnasnet.py
registry.py Refactoring, cleanup, improved test coverage. 3 years ago
regnet.py Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy. 4 years ago
res2net.py
resnest.py Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA. 4 years ago
resnet.py Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224. 3 years ago
resnetv2.py Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train 3 years ago
rexnet.py Post merge cleanup 3 years ago
selecsls.py
senet.py
sknet.py Remove min channels for SelectiveKernel, divisor should cover cases well enough. 4 years ago
swin_transformer.py use .unbind instead of explicitly listing the indices 3 years ago
tnt.py use .unbind instead of explicitly listing the indices 3 years ago
tresnet.py Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy. 4 years ago
twins.py Refactoring, cleanup, improved test coverage. 3 years ago
vgg.py
visformer.py Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p 3 years ago
vision_transformer.py use .unbind instead of explicitly listing the indices 3 years ago
vision_transformer_hybrid.py AugReg release 3 years ago
vovnet.py
xception.py
xception_aligned.py
xcit.py use .unbind instead of explicitly listing the indices 3 years ago