1024 Commits (f71beadc29aa416363f8c45c34fcf3997b9805ff)

Author	SHA1	Message	Date
Fredo Guan	f71beadc29	Update metaformers.py	3 years ago
Fredo Guan	fcaf9b8d23	Update metaformers.py	3 years ago
Fredo Guan	d484d86189	Update metaformers.py	3 years ago
Fredo Guan	d90ed530dc	Update metaformers.py	3 years ago
Fredo Guan	ec202b4d16	Update metaformers.py	3 years ago
Fredo Guan	0bde1c1218	Update metaformers.py	3 years ago
Fredo Guan	42741b7cdb	Update metaformers.py	3 years ago
Fredo Guan	116345b4d3	Update metaformers.py	3 years ago
Fredo Guan	ee16588a3a	Update metaformers.py	3 years ago
Fredo Guan	c7e1819ca5	Update metaformers.py	3 years ago
Fredo Guan	01f671ed08	Update metaformers.py	3 years ago
Fredo Guan	d17bcb10a5	Update metaformers.py	3 years ago
Fredo Guan	1f3a661160	Update metaformers.py	3 years ago
Fredo Guan	530709d299	update	3 years ago
Ross Wightman	ae9153052f	Update version.py	3 years ago
Ross Wightman	60ebb6cefa	Re-order vit pretrained entries for more sensible default weights (no .tag specified)	3 years ago
Ross Wightman	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.	3 years ago
Ross Wightman	add3fb864e	Working on improved model card template for push_to_hf_hub	3 years ago
Ross Wightman	dd0bb327e9	Update version.py ... Ver 0.8.4dev0	3 years ago
Ross Wightman	6e5553da5f	Add ConvNeXt-V2 support (model additions and weights) (#1614) ... * Add ConvNeXt-V2 support (model additions and weights) * ConvNeXt-V2 weights on HF Hub, tweaking some tests * Update README, fixing convnextv2 tests	3 years ago
Ross Wightman	6902c48a5f	Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form.	3 years ago
Ross Wightman	d5aa17e415	Remove print from auto_augment	3 years ago
Ross Wightman	7c846d9970	Better vmap compat across recent torch versions	3 years ago
Ross Wightman	4e24f75289	Merge pull request #1593 from rwightman/multi-weight_effnet_convnext ... Update efficientnet.py and convnext.py to multi-weight, add new 12k pretrained weights	3 years ago
Ross Wightman	8ece53e194	Switch BEiT to HF hub weights	3 years ago
Ross Wightman	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.	3 years ago
Ross Wightman	e2fc43bc63	Version 0.8.2dev0	3 years ago
Ross Wightman	9a51e4ea2e	Add FlexiViT models and weights, refactoring, push more weights ... * 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	3 years ago
Ross Wightman	656e1776de	Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata	3 years ago
Ross Wightman	6a01101905	Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.	3 years ago
alec.tu	74d6afb4cd	Add Adan to __init__.py	3 years ago
Ross Wightman	e7da205345	Fix aa min_max level clamp	3 years ago
Ross Wightman	e3b2f5be0a	Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string	3 years ago
Ross Wightman	d5e7d6b27e	Merge remote-tracking branch 'origin/main' into refactor-imports	3 years ago
Ross Wightman	cda39b35bd	Add a deprecation phase to module re-org	3 years ago
Ross Wightman	7c4ed4d5a4	Add EVA-large models	3 years ago
Ross Wightman	98047ef5e3	Add EVA FT results, hopefully fix BEiT test failures	3 years ago
Ross Wightman	3cc4d7a894	Fix missing register for 224 eva model	3 years ago
Ross Wightman	eba07b0de7	Add eva models to beit.py	3 years ago
Ross Wightman	927f031293	Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models	3 years ago
Ross Wightman	3785c234d7	Remove clip vit models that won't be ft and comment two that aren't uploaded yet	3 years ago
Ross Wightman	f82239b30e	multi-weight branch version -> 0.8.0dev	3 years ago
Ross Wightman	755570e2d6	Rename _pretrained.py -> pretrained.py, not feasible to change the other files to same scheme without breaking uses	3 years ago
Ross Wightman	72cfa57761	Add ported Tensorflow MaxVit weights. Add a few more CLIP ViT fine-tunes. Tweak some model tag names. Improve model tag name sorting. Update HF hub push config layout.	3 years ago
Ross Wightman	4d5c395160	MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates ... * Add support for TF weights and modelling specifics to MaxVit (testing ported weights) * More fine-tuned CLIP ViT configs * ConvNeXt and MaxVit updated to new pretrained cfgs use * EfficientNetV2, MaxVit and ConvNeXt high res models use squash crop/resize	3 years ago
Ross Wightman	3db4e346e0	Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default	3 years ago
Ross Wightman	9da7e3a799	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	3 years ago
Ross Wightman	b2b6285af7	Add two more FT clip weights	3 years ago
Ross Wightman	5895056dc4	Add openai b32 ft	3 years ago
Ross Wightman	9dea5143d5	Adding more clip ft variants	3 years ago