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2023-01-08 10:01:53 -08:00
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2023-01-08 09:37:49 -08:00
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2023-01-08 00:14:23 -08:00
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2023-01-08 00:12:52 -08:00
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2023-01-07 23:55:55 -08:00
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2023-01-07 23:53:53 -08:00
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2023-01-07 23:45:49 -08:00
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2023-01-07 23:27:07 -08:00
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2023-01-07 23:17:25 -08:00
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2023-01-07 21:43:56 -08:00
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2023-01-07 21:23:56 -08:00
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2023-01-07 21:07:14 -08:00
530709d299
update
2023-01-07 20:22:23 -08:00
ae9153052f
Update version.py
2023-01-06 17:17:35 -08:00
60ebb6cefa
Re-order vit pretrained entries for more sensible default weights (no .tag specified)
2023-01-06 16:12:33 -08:00
e861b74cf8
Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way.
2023-01-06 16:12:33 -08:00
add3fb864e
Working on improved model card template for push_to_hf_hub
2023-01-06 16:12:33 -08:00
dd0bb327e9
Update version.py
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Ver 0.8.4dev0
2023-01-05 07:55:18 -08:00
6e5553da5f
Add ConvNeXt-V2 support (model additions and weights) ( #1614 )
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* Add ConvNeXt-V2 support (model additions and weights)
* ConvNeXt-V2 weights on HF Hub, tweaking some tests
* Update README, fixing convnextv2 tests
2023-01-05 07:53:32 -08:00
6902c48a5f
Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form.
2022-12-29 16:32:26 -08:00
d5aa17e415
Remove print from auto_augment
2022-12-28 17:11:35 -08:00
7c846d9970
Better vmap compat across recent torch versions
2022-12-24 14:37:04 -08:00
4e24f75289
Merge pull request #1593 from rwightman/multi-weight_effnet_convnext
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Update efficientnet.py and convnext.py to multi-weight, add new 12k pretrained weights
2022-12-23 10:09:08 -08:00
8ece53e194
Switch BEiT to HF hub weights
2022-12-22 21:43:04 -08:00
d1bfa9a000
Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info.
2022-12-22 21:34:13 -08:00
e2fc43bc63
Version 0.8.2dev0
2022-12-22 17:34:09 -08:00
9a51e4ea2e
Add FlexiViT models and weights, refactoring, push more weights
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* push all vision_transformer*.py weights to HF hub
* finalize more pretrained tags for pushed weights
* refactor pos_embed files and module locations, move some pos embed modules to layers
* tweak hf hub helpers to aid bulk uploading and updating
2022-12-22 17:23:09 -08:00
656e1776de
Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata
2022-12-16 09:29:13 -08:00
6a01101905
Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.
2022-12-14 20:33:23 -08:00
74d6afb4cd
Add Adan to __init__.py
2022-12-15 11:37:29 +08:00
e7da205345
Fix aa min_max level clamp
2022-12-10 16:43:28 -08:00
e3b2f5be0a
Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string
2022-12-10 16:25:50 -08:00
d5e7d6b27e
Merge remote-tracking branch 'origin/main' into refactor-imports
2022-12-09 14:49:44 -08:00
cda39b35bd
Add a deprecation phase to module re-org
2022-12-09 14:39:45 -08:00
7c4ed4d5a4
Add EVA-large models
2022-12-08 16:21:30 -08:00
98047ef5e3
Add EVA FT results, hopefully fix BEiT test failures
2022-12-07 08:54:06 -08:00
Fredo Guan
Ross Wightman
Ross Wightman
alec.tu