Ross Wightman 01cb46a9a5 Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.

2021-08-07 16:45:29 -07:00

..

layers

Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.

2021-08-07 16:45:29 -07:00

pruned

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__init__.py

wip xcit

2021-07-11 09:39:38 +01:00

byoanet.py

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byobnet.py

Add efficientnetv2_rw_t defs w/ weights, and gc variant, as well as gcresnet26ts for experiments. Version 0.4.13

2021-07-09 16:46:52 -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

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densenet.py

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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_blocks.py

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efficientnet_builder.py

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efficientnet.py

Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.

2021-08-07 16:45:29 -07:00

factory.py

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features.py

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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

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gluon_xception.py

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hardcorenas.py

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helpers.py

Refactoring, cleanup, improved test coverage.

2021-06-12 16:40:02 -07:00

hrnet.py

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hub.py

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inception_resnet_v2.py

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inception_v3.py

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inception_v4.py

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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

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nest.py

Use bicubic interpolation in resize_pos_embed()

2021-07-12 10:38:31 -07:00

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

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registry.py

Refactoring, cleanup, improved test coverage.

2021-06-12 16:40:02 -07:00

regnet.py

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res2net.py

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resnest.py

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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

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selecsls.py

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senet.py

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sknet.py

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swin_transformer.py

Refactoring, cleanup, improved test coverage.

2021-06-12 16:40:02 -07:00

tnt.py

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tresnet.py

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twins.py

Refactoring, cleanup, improved test coverage.

2021-06-12 16:40:02 -07:00

vgg.py

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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_hybrid.py

AugReg release

2021-06-20 17:46:06 -07:00

vision_transformer.py

Use bicubic interpolation in resize_pos_embed()

2021-07-12 10:38:31 -07:00

vovnet.py

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xception_aligned.py

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xception.py

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xcit.py

Allow act_layer switch for xcit, fix in_chans for some variants

2021-07-12 13:27:29 -07:00