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711 Commits (4f49b94311860e5b695d2a919413d1aae4e0eb9c)
 

Author SHA1 Message Date
Ross Wightman 4f49b94311 Initial AGC impl. Still testing.
4 years ago
Ross Wightman 5f9aff395c Fix stem width in NFNet-F models, add some more comments, add some 'light' NFNet models for testing.
4 years ago
Ross Wightman 4df513c68f
Merge pull request #427 from rwightman/nfnet
4 years ago
Ross Wightman d86dbe45c2 Update README.md and few more comments
4 years ago
Ross Wightman 0d253e2c5e Fix issue with nfnet tests, bit more cleanup.
4 years ago
Ross Wightman cb06c7a910 Add NFNet-F models and tweak existing NF models.
4 years ago
Ross Wightman 607f9149b1
Update README.md
4 years ago
Ross Wightman e4de077021 Add first 'Normalizer Free' models. nf_regnet_b1 79.3 @ 288x288 test, and nf_resnet50 80.3 @ 256x256 test (80.68 @ 288x288).
4 years ago
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
4 years ago
Ross Wightman ca9b078ac7 Update README.md and docs. Version bumped to 0.4.3
4 years ago
Ross Wightman 6853b07bbd Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
4 years ago
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
4 years ago
Ross Wightman b9bd960a03
Merge pull request #421 from aboutmedicine/master
4 years ago
Reuben 94ca140b67 update collections.abc import
4 years ago
Ross Wightman db6128db0f
Merge pull request #418 from kecsap/master
4 years ago
Ross Wightman b4e216e377 Fix a few small things.
4 years ago
Ross Wightman dc85e5a237 Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
4 years ago
Ross Wightman 1bcc69e0ad Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.
4 years ago
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
4 years ago
Csaba Kertesz 5114c214fc Change the Python interpreter to Python 3.x in the scripts
4 years ago
Ross Wightman aaa715b1e9
Update README.md
4 years ago
Ross Wightman a7f95818e4
Merge pull request #413 from rwightman/eca-weights
4 years ago
Ross Wightman a39c3ee216
Merge branch 'master' into eca-weights
4 years ago
Ross Wightman e9d6fe293c Update README for new weights. Version 0.4.2
4 years ago
Ross Wightman 666de85cf1 Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
4 years ago
Ross Wightman 3b57490a63 Fix some half removed resnet model defs, pooling for ecaresnet269d
4 years ago
Ross Wightman 2a8c4dc63b Add validation script update for using test_input_size in model default_cfgs
4 years ago
Ross Wightman 68a4144882 Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.
4 years ago
Ross Wightman 3a7aa95f7e
Update README.md
4 years ago
Ross Wightman b9843f954b
Merge pull request #282 from tigert1998/patch-1
4 years ago
Ross Wightman ea36a78cff
Merge pull request #401 from hwangdeyu/deyu/add_HardSwishJitAutoFn_operator
4 years ago
hwangdeyu 7a4be5c035 add operator HardSwishJitAutoFn export to onnx
4 years ago
Ross Wightman 4203efa36d Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py.
4 years ago
Ross Wightman 99b82ae5ab
Merge pull request #389 from rwightman/norm_free_models
4 years ago
Ross Wightman f0e65e37b7 Fix NF-ResNet101 model defs
4 years ago
Ross Wightman 2c988c3b6e Update README.md for NF-nets, bump version to 0.4.1 for merge
4 years ago
Ross Wightman 2de54d174a Fix pool size defs for NFNet models, add a comment.
4 years ago
Ross Wightman 90980de4a9 Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.
4 years ago
Ross Wightman 5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
4 years ago
Ross Wightman 9a38416fbd
Merge pull request #323 from rwightman/imagenet21k_datasets_more
4 years ago
Ross Wightman 745bc5f723 Mention 21k ViT weights in README.md
4 years ago
Ross Wightman 6306aa79e9
Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman 38d8f67570 Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
4 years ago
Ross Wightman 587780e56b Update README.md and bump version to 0.4.0
4 years ago
Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.
4 years ago
Ross Wightman c16e965037 Add some ViT comments and fix a few minor issues.
4 years ago
Ross Wightman 22748f1a2d Convert samples/targets in ParserImageInTar to numpy arrays, slightly less mem usage for massive datasets. Add a few more se/eca model defs to resnet.py
4 years ago
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
4 years ago
Ross Wightman 55f7dfa9ea Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
4 years ago
Ross Wightman 9d5d4b8df6 Fix silly train.py typo during dataset work
4 years ago