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816 Commits (e0a59110724cdf34a817b1aac49810134b044577)

Author SHA1 Message Date
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 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 64667bfa0e Add 'gigantic' vit clip variant for feature extraction and future fine-tuning
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 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 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 a2c14c2064 Add tiny/small in12k pretrained and fine-tuned ConvNeXt models
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
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 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
Ross Wightman 6e5553da5f
Add ConvNeXt-V2 support (model additions and weights) (#1614)
2 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.
2 years ago
Ross Wightman 8ece53e194 Switch BEiT to HF hub weights
2 years ago
Ross Wightman 9a51e4ea2e Add FlexiViT models and weights, refactoring, push more weights
2 years ago
Fredo Guan 10b3f696b4
Davit std (#6)
2 years ago
Ross Wightman 656e1776de Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata
2 years ago
Ross Wightman 6a01101905 Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.
2 years ago
Fredo Guan 84178fca60
Merge branch 'rwightman:main' into main
2 years ago
Fredo Guan c43340ddd4
Davit std (#5)
2 years ago
Ross Wightman d5e7d6b27e Merge remote-tracking branch 'origin/main' into refactor-imports
2 years ago
Ross Wightman cda39b35bd Add a deprecation phase to module re-org
2 years ago
Fredo Guan edea013dd1
Davit std (#3)
2 years ago
Ross Wightman 7c4ed4d5a4 Add EVA-large models
2 years ago
Fredo Guan 434a03937d
Merge branch 'rwightman:main' into main
2 years ago
Ross Wightman 98047ef5e3 Add EVA FT results, hopefully fix BEiT test failures
2 years ago
Ross Wightman 3cc4d7a894 Fix missing register for 224 eva model
2 years ago
Ross Wightman eba07b0de7 Add eva models to beit.py
2 years ago
Fredo Guan 3bd96609c8
Davit (#1)
2 years ago
Ross Wightman 927f031293 Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
2 years ago
Ross Wightman 3785c234d7 Remove clip vit models that won't be ft and comment two that aren't uploaded yet
2 years ago
Ross Wightman 755570e2d6 Rename _pretrained.py -> pretrained.py, not feasible to change the other files to same scheme without breaking uses
2 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.
2 years ago
Ross Wightman 4d5c395160 MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
2 years ago
Ross Wightman 9da7e3a799 Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
2 years ago
Ross Wightman b2b6285af7 Add two more FT clip weights
2 years ago
Ross Wightman 5895056dc4 Add openai b32 ft
2 years ago
Ross Wightman 9dea5143d5 Adding more clip ft variants
2 years ago
Ross Wightman 444dcba4ad CLIP B16 12k weights added
2 years ago