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1713 Commits (7f29a46d4467f1119a6c0a90faa3cfb9117787b4)
 

Author SHA1 Message Date
Taeksang Kim 7f29a46d44 Add gradient accumulation option to train.py
2 years ago
Ross Wightman 7a13be67a5
Update version.py
2 years ago
Ross Wightman 4b383e8ffe
Merge pull request #1655 from rwightman/levit_efficientformer_redux
2 years ago
Ross Wightman 13acac8c5e Update head metadata for effformerv2
2 years ago
Ross Wightman 8682528096 Add first conv metadata for efficientformer_v2
2 years ago
Ross Wightman 72fba669a8 is_scripting() guard on checkpoint_seq
2 years ago
Ross Wightman 95ec255f7f Finish timm mode api for efficientformer_v2, add grad checkpointing support to both efficientformers
2 years ago
Ross Wightman 9d03c6f526 Merge remote-tracking branch 'origin/main' into levit_efficientformer_redux
2 years ago
Ross Wightman 086bd55a94 Add EfficientFormer-V2, refactor EfficientFormer and Levit for more uniformity across the 3 related arch. Add features_out support to levit conv models and efficientformer_v2. All weights on hub.
2 years ago
Ross Wightman 2cb2699dc8 Apply fix from #1649 to main
2 years ago
Ross Wightman e0a5911072
Merge pull request #1645 from rwightman/norm_mlp_classifier
2 years ago
Ross Wightman b3042081b4 Add laion -> in1k fine-tuned base and large_mlp weights for convnext
2 years ago
Ross Wightman 316bdf8955 Add mlp head support for convnext_large, add laion2b CLIP weights, prep fine-tuned weight tags
2 years ago
Ross Wightman 6f28b562c6 Factor NormMlpClassifierHead from MaxxViT and use across MaxxViT / ConvNeXt / DaViT, refactor some type hints & comments
2 years ago
Ross Wightman 29fda20e6d Merge branch 'fffffgggg54-main'
2 years ago
Ross Wightman 9a53c3f727 Finalize DaViT, some formatting and modelling simplifications (separate PatchEmbed to Stem + Downsample, weights on HF hub.
2 years ago
Fredo Guan fb717056da Merge remote-tracking branch 'upstream/main'
2 years ago
Ross Wightman 2bbc26dd82 version 0.8.8dev0
2 years ago
Ross Wightman 64667bfa0e Add 'gigantic' vit clip variant for feature extraction and future fine-tuning
2 years ago
Ross Wightman 3aa31f537d
Merge pull request #1641 from rwightman/maxxvit_hub
2 years ago
Ross Wightman 9983ed7721 xlarge maxvit killing the tests
2 years ago
Ross Wightman c2822568ec Update version to 0.8.7dev0
2 years ago
Ross Wightman 0417a9dd81 Update README
2 years ago
Ross Wightman 36989cfae4 Factor out readme generation in hub helper, add more readme fields
2 years ago
Ross Wightman 32f252381d Change order of checkpoitn filtering fn application in builder, try dict, model variant first
2 years ago
Ross Wightman e9f1376cde Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn
2 years ago
Ross Wightman bed350f5e5 Push all MaxxViT weights to HF hub, cleanup impl, add feature map extraction support and prompote to 'std' architecture. Fix norm head for proper embedding / feat map output. Add new in12k + ft 1k weights.
2 years ago
Ross Wightman ca38e1e73f Update ClassifierHead module, add reset() method, update in_chs -> in_features for consistency
2 years ago
Ross Wightman 8ab573cd26 Add convnext_tiny and convnext_small 384x384 fine-tunes of in12k weights, fix pool size for laion CLIP convnext weights
2 years ago
Fredo Guan e58a884c1c Merge remote-tracking branch 'upstream/main'
2 years ago
Fredo Guan 81ca323751
Davit update formatting and fix grad checkpointing (#7)
2 years ago
Ross Wightman e9aac412de Correct mean/std for CLIP convnexts
2 years ago
Ross Wightman 42bd8f7bcb Add convnext_base CLIP image tower weights for fine-tuning / features
2 years ago
Ross Wightman 65aea97067
Update tests.yml
2 years ago
Ross Wightman dd60c45044
Merge pull request #1633 from rwightman/freeze_norm_revisit
2 years ago
Ross Wightman e520553e3e Update batchnorm freezing to handle NormAct variants, Add GroupNorm1Act, update BatchNormAct2d tracing change from PyTorch
2 years ago
Ross Wightman a2c14c2064 Add tiny/small in12k pretrained and fine-tuned ConvNeXt models
2 years ago
Ross Wightman 01aea8c1bf Version 0.8.6dev0
2 years ago
Ross Wightman 2e83bba142 Revert head norm changes to ConvNeXt as it broke some downstream use, alternate workaround for fcmae weights
2 years ago
Ikko Eltociear Ashimine 2c24cb98f1 Fix typo in results/README.md
2 years ago
Ross Wightman 1825b5e314 maxxvit type
2 years ago
Ross Wightman 5078b28f8a More kwarg handling tweaks, maxvit_base_rw def added
2 years ago
Ross Wightman c0d7388a1b Improving kwarg merging in more models
2 years ago
Ross Wightman 94a91598c3
Update README.md
2 years ago
Ross Wightman d2ef5a3a94
Update README.md
2 years ago
Ross Wightman ae9153052f
Update version.py
2 years ago
Ross Wightman 60ebb6cefa Re-order vit pretrained entries for more sensible default weights (no .tag specified)
2 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.
2 years ago
Ross Wightman add3fb864e Working on improved model card template for push_to_hf_hub
2 years ago
Xa9aX ツ 13c7183c52 Update installation.mdx
2 years ago