614 Commits (e65a2cba3d6d7bea6b95c4ed482872f4e2355e33)

Author	SHA1	Message	Date
nateraw	e65a2cba3d	🎨 cleanup and add a couple comments	3 years ago
nateraw	2b6ade24b3	🎨 write model card to enable inference	3 years ago
nateraw	abf9d51bc3	🚧 wip	3 years ago
nateraw	28d2841acf	💄 apply isort	3 years ago
nateraw	e72c989973	✨ add ability to push to hf hub	3 years ago
Ross Wightman	78933122c9	Fix silly typo	3 years ago
Ross Wightman	708d87a813	Fix ViT SAM weight compat as weights at URL changed to not use repr layer. Fix #825. Tweak optim test.	3 years ago
Ross Wightman	d667351eac	Tweak accuracy topk safety. Fix #807	3 years ago
Yohann Lereclus	35c9740826	Fix accuracy when topk > num_classes	3 years ago
Ross Wightman	a16a753852	Add lamb/lars to optim init imports, remove stray comment	3 years ago
Ross Wightman	c207e02782	MOAR optimizer changes. Woo!	3 years ago
Ross Wightman	a426511c95	More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.	3 years ago
Ross Wightman	9541f4963b	One more scalar -> tensor fix for lamb optimizer	3 years ago
Ross Wightman	8f68193c91	Update lamp.py comment	3 years ago
Ross Wightman	4d284017b8	Merge pull request #813 from rwightman/opt_cleanup ... Optimizer cleanup and additions	3 years ago
Ross Wightman	a6af48be64	add madgradw optimizer	3 years ago
Ross Wightman	55fb5eedf6	Remove experiment from lamb impl	3 years ago
Ross Wightman	8a9eca5157	A few optimizer comments, dead import, missing import	3 years ago
Ross Wightman	ac469b50da	Optimizer improvements, additions, cleanup ... * Add MADGRAD code * Fix Lamb (non-fused variant) to work w/ PyTorch XLA * Tweak optimizer factory args (lr/learning_rate and opt/optimizer_name), may break compat * Use newer fn signatures for all add,addcdiv, addcmul in optimizers * Use upcoming PyTorch native Nadam if it's available * Cleanup lookahead opt * Add optimizer tests * Remove novograd.py impl as it was messy, keep nvnovograd * Make AdamP/SGDP work in channels_last layout * Add rectified adablief mode (radabelief) * Support a few more PyTorch optim, adamax, adagrad	3 years ago
Sepehr Sameni	abf3e044bb	Update scheduler_factory.py ... remove duplicate code from create_scheduler()	3 years ago
Ross Wightman	3cdaf5ed56	Add `mmax` config key to auto_augment for increasing upper bound of RandAugment magnitude beyond 10. Make AugMix uniform sampling default not override config setting.	3 years ago
Ross Wightman	1042b8a146	Add non fused LAMB optimizer option	3 years ago
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.	3 years ago
Ross Wightman	d3f7440650	Add EfficientNetV2 XL model defs	3 years ago
Ross Wightman	72b227dcf5	Merge pull request #750 from drjinying/master ... Specify "interpolation" mode in vision_transformer's resize_pos_embed	4 years ago
Ross Wightman	2907c1f967	Merge pull request #746 from samarth4149/master ... Adding a Multi Step LR Scheduler	4 years ago
Ross Wightman	748ab852ca	Allow act_layer switch for xcit, fix in_chans for some variants	4 years ago
Ying Jin	20b2d4b69d	Use bicubic interpolation in resize_pos_embed()	4 years ago
Ross Wightman	d3255adf8e	Merge branch 'xcit' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-xcit	4 years ago
Ross Wightman	f8039c7492	Fix gc effv2 model cfg name	4 years ago
Alexander Soare	3a55a30ed1	add notes from author	4 years ago
Alexander Soare	899cf84ccc	bug fix - missing _dist postfix for many of the 224_dist models	4 years ago
Alexander Soare	623e8b8eb8	wip xcit	4 years ago
Ross Wightman	392368e210	Add efficientnetv2_rw_t defs w/ weights, and gc variant, as well as gcresnet26ts for experiments. Version 0.4.13	4 years ago
samarth	daab57a6d9	1. Added a simple multi step LR scheduler	4 years ago
Ross Wightman	6d8272e92c	Add SAM pretrained model defs/weights for ViT B16 and B32 models.	4 years ago
Ross Wightman	ee4d8fc69a	Remove unecessary line from nest post refactor	4 years ago
Ross Wightman	8165cacd82	Realized LayerNorm2d won't work in all cases as is, fixed.	4 years ago
Ross Wightman	81cd6863c8	Move aggregation (convpool) for nest into NestLevel, cleanup and enable features_only use. Finalize weight url.	4 years ago
Ross Wightman	6ae0ac6420	Merge branch 'nested_transformer' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-nested_transformer	4 years ago
Alexander Soare	7b8a0017f1	wip to review	4 years ago
Alexander Soare	b11d949a06	wip checkpoint with some feature extraction work	4 years ago
Alexander Soare	23bb72ce5e	nested_transformer wip	4 years ago
Ross Wightman	766b4d3262	Fix features for resnetv2_50t	4 years ago
Ross Wightman	e8045e712f	Fix BatchNorm for ResNetV2 non GN models, add more ResNetV2 model defs for future experimentation, fix zero_init of last residual for pre-act.	4 years ago
Ross Wightman	20a2be14c3	Add gMLP-S weights, 79.6 top-1	4 years ago
Ross Wightman	85f894e03d	Fix ViT in21k representation (pre_logits) layer handling across old and new npz checkpoints	4 years ago
Ross Wightman	b41cffaa93	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	4 years ago
Ross Wightman	9c9755a808	AugReg release	4 years ago
Ross Wightman	381b279785	Add hybrid model fwds back	4 years ago