Thomas Viehmann f805ba86d9 use .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00

..

layers

Add weights for regnetz_d and haloregnetz_c, update regnetz_c weights. Add commented PyTorch XLA code for halo attention

2021-10-19 12:32:09 -07:00

pruned

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__init__.py

Add ConvMixer

2021-10-09 21:09:51 -04:00

beit.py

use .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00

byoanet.py

Fixed eca_botnext26ts_256 weights added, 79.27

2021-10-19 12:44:28 -07:00

byobnet.py

add d8 and e8 regnetz models with group size 8

2021-10-23 20:34:21 -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

convmixer.py

Add ConvMixer

2021-10-09 21:09:51 -04:00

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

2021-09-13 14:17:34 -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

Remove dead code line from efficientnet

2021-09-30 21:54:42 -07:00

efficientnet_builder.py

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efficientnet.py

make it possible to provide norm_layer via create_model

2021-09-21 10:19:04 +01:00

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

support bits checkpoints in avg/load

2021-10-03 17:31:22 -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 .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00

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

Update lambda_resnet26t weights with better set

2021-10-10 16:32:54 -07:00

resnetv2.py

Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train

2021-10-20 22:14:12 -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

use .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00

tnt.py

use .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00

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 .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00

vovnet.py

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xception_aligned.py

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xception.py

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xcit.py

use .unbind instead of explicitly listing the indices

2021-10-24 21:08:47 +02:00