pytorch-image-models/timm/models
Ross Wightman 766b4d3262 Fix features for resnetv2_50t 2021-06-28 15:56:24 -07:00
..
layers Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load. 2021-06-14 12:31:44 -07:00
pruned
__init__.py Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy. 2021-05-27 18:03:29 -07:00
byoanet.py Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy. 2021-05-27 18:03:29 -07:00
byobnet.py Minimum input_size needed to be higher 2021-06-08 21:31:39 -07:00
cait.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
coat.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
convit.py Merge branch 'master' into cleanup_xla_model_fixes 2021-06-12 23:19:25 -07:00
cspnet.py
densenet.py
dla.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
dpn.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
efficientnet.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. 2021-05-31 13:18:11 -07:00
efficientnet_blocks.py Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers. 2021-05-29 23:41:38 -07:00
efficientnet_builder.py Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable. 2021-05-30 12:47:02 -07:00
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 2021-06-22 23:16:05 -07:00
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. 2021-05-29 23:41:38 -07:00
helpers.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
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 2021-06-22 23:16:05 -07:00
mlp_mixer.py Add gMLP-S weights, 79.6 top-1 2021-06-23 10:40:30 -07:00
mobilenetv3.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
nasnet.py
nfnet.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
pit.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
pnasnet.py
registry.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
regnet.py Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy. 2021-05-27 18:03:29 -07:00
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. 2021-05-31 13:18:11 -07:00
resnet.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
resnetv2.py Fix features for resnetv2_50t 2021-06-28 15:56:24 -07:00
rexnet.py Post merge cleanup 2021-06-07 14:38:30 -07:00
selecsls.py
senet.py
sknet.py Remove min channels for SelectiveKernel, divisor should cover cases well enough. 2021-05-31 15:38:56 -07:00
swin_transformer.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
tnt.py Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights. 2021-05-24 21:13:26 -07:00
tresnet.py Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy. 2021-05-27 18:03:29 -07:00
twins.py Refactoring, cleanup, improved test coverage. 2021-06-12 16:40:02 -07:00
vgg.py
visformer.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 2021-06-22 23:16:05 -07:00
vision_transformer.py Fix ViT in21k representation (pre_logits) layer handling across old and new npz checkpoints 2021-06-23 10:38:34 -07:00
vision_transformer_hybrid.py AugReg release 2021-06-20 17:46:06 -07:00
vovnet.py
xception.py
xception_aligned.py