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layers
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Halo, bottleneck attn, lambda layer additions and cleanup along w/ experimental model defs
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2021-10-06 16:32:48 -07:00 |
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pruned
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…
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__init__.py
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Add ConvMixer
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2021-10-09 21:09:51 -04:00 |
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beit.py
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Add BeiT 'finetuned' 1k weights and pretrained 22k weights, pretraining specific (masked) model excluded for now
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2021-09-13 16:38:23 -07:00 |
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byoanet.py
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Update lambda_resnet26rpt weights to 78.9, add better halonet26t weights at 79.1 with tweak to attention dim
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2021-10-08 17:44:13 -07:00 |
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byobnet.py
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regnetz model default cfg tweaks
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2021-10-06 21:14:59 -07:00 |
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cait.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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coat.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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convit.py
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Merge branch 'master' into cleanup_xla_model_fixes
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2021-06-12 23:19:25 -07:00 |
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convmixer.py
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Add ConvMixer
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2021-10-09 21:09:51 -04:00 |
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crossvit.py
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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
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2021-09-13 14:17:34 -07:00 |
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cspnet.py
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…
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densenet.py
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…
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dla.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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dpn.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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efficientnet.py
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make it possible to provide norm_layer via create_model
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2021-09-21 10:19:04 +01:00 |
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efficientnet_blocks.py
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Remove dead code line from efficientnet
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2021-09-30 21:54:42 -07:00 |
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efficientnet_builder.py
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…
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factory.py
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…
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features.py
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…
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ghostnet.py
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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
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2021-06-22 23:16:05 -07:00 |
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gluon_resnet.py
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…
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gluon_xception.py
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…
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hardcorenas.py
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…
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helpers.py
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support bits checkpoints in avg/load
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2021-10-03 17:31:22 -07:00 |
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hrnet.py
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…
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hub.py
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…
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inception_resnet_v2.py
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…
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inception_v3.py
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…
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inception_v4.py
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…
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levit.py
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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
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2021-06-22 23:16:05 -07:00 |
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mlp_mixer.py
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Add gMLP-S weights, 79.6 top-1
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2021-06-23 10:40:30 -07:00 |
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mobilenetv3.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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nasnet.py
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…
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nest.py
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Use bicubic interpolation in resize_pos_embed()
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2021-07-12 10:38:31 -07:00 |
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nfnet.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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pit.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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pnasnet.py
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…
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registry.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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regnet.py
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…
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res2net.py
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…
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resnest.py
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…
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resnet.py
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Change crop ratio on correct resnet50 variant.
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2021-10-04 22:31:08 -07:00 |
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resnetv2.py
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Clean a1/a2/3 rsb _0 checkpoints properly, fix v2 loading.
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2021-10-04 16:46:00 -07:00 |
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rexnet.py
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…
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selecsls.py
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…
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senet.py
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…
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sknet.py
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…
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swin_transformer.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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tnt.py
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…
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tresnet.py
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…
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twins.py
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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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vgg.py
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…
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visformer.py
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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
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2021-06-22 23:16:05 -07:00 |
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vision_transformer.py
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Fix silly typo
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2021-08-27 09:22:20 -07:00 |
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vision_transformer_hybrid.py
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AugReg release
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2021-06-20 17:46:06 -07:00 |
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vovnet.py
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…
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xception.py
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…
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xception_aligned.py
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…
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xcit.py
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Allow act_layer switch for xcit, fix in_chans for some variants
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2021-07-12 13:27:29 -07:00 |
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