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519 Commits (e3c11a36dcaaa1e7ef398301b7d1198fcc533d44)
 

Author SHA1 Message Date
Ross Wightman 3eb4a96eda Update AugMix, JSD, etc comments and references
5 years ago
Ross Wightman a28117ea46 Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d
5 years ago
Ross Wightman cfa951bceb
Update README.md
5 years ago
Ross Wightman 833066b540 A few minor things in SplitBN
5 years ago
Ross Wightman 7547119891 Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Ross Wightman 2e955cfd0c Update RandomErasing with some improved arg names, tweak to aspect range
5 years ago
Ross Wightman 3cc0f91e23 Fix augmix variable name scope overlap, default non-blended mode
5 years ago
Ross Wightman 7622015258
Update README.md
5 years ago
Ross Wightman ec0dd4053a Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko
5 years ago
Ross Wightman 8662454bd7 Plural for averaging script.
5 years ago
Ross Wightman 40fea63ebe Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts
5 years ago
Ross Wightman 4666cc9aed Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script
5 years ago
Ross Wightman 53001dd292 ResNet / Res2Net additions:
5 years ago
Ross Wightman f96b3e5e92 InceptionResNetV2 torchscript compatible
5 years ago
Ross Wightman 19d93fe454 Add selecsls60 weights
5 years ago
Ross Wightman a7fe891a13
Update README.md
5 years ago
Ross Wightman e728d70831
Merge pull request #66 from rwightman/selecsls_updates
5 years ago
Ross Wightman 84ca3d1f4d Add SelecSLS to sotabench list
5 years ago
Ross Wightman 0062c15fb0 Update checkpoint url with modelzoo compatible ones.
5 years ago
Ross Wightman b5315e66b5 Streamline SelecSLS model without breaking checkpoint compat. Move cfg handling out of model class. Update feature/pooling behaviour to match current.
5 years ago
Ross Wightman d59a756c16 Run PyCharm autoformat on selecsls and change mix cap variables and model names to all lower
5 years ago
Ross Wightman fb3a0f4bb8
Merge pull request #65 from mehtadushy/selecsls
5 years ago
Ross Wightman 0554b7942c
Update README.md
5 years ago
Ross Wightman a4497afa21
Update sotabench.py
5 years ago
Ross Wightman 53f578e16f Update README with B3 training details
5 years ago
Ross Wightman 19fc205a4d Update comments on the new SE-ResNeXt26 models
5 years ago
Ross Wightman 8894a6bc08 Update sotabench.py with latest seresnext26 and efficientnet_b3 models
5 years ago
Ross Wightman acc3ed2b8c Add EfficientNet-B3 weights, trained from scratch with RA.
5 years ago
Dushyant Mehta 2404361f62 correct asset paths
5 years ago
Dushyant Mehta 31939311f6 Added SelecSLS models
5 years ago
rwightman 1f4498f217 Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
5 years ago
Dushyant Mehta 32012a44fd Added SelecSLS model
5 years ago
Ross Wightman 73b78459dc Add update RandAugment MixNet-XL weights
5 years ago
Ross Wightman 3afc2a4dc0 Some cleanup/improvements to AugMix impl:
5 years ago
Ross Wightman 232ab7fb12 Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
Ross Wightman ff8688ca3d
Merge pull request #62 from rwightman/reduce-bn
5 years ago
Ross Wightman 5719b493ad Missed update dist-bn logic for EMA model
5 years ago
Ross Wightman a435ea1327 Change reduce_bn to distribute_bn, add ability to choose between broadcast and reduce (mean). Add crop_pct arg to allow selecting validation crop while training.
5 years ago
Ross Wightman 3bff2b21dc Add support for keeping running bn stats the same across distributed training nodes before eval/save
5 years ago
Ross Wightman 0161de0127 Switch RandoErasing back to on GPU normal sampling
5 years ago
Ross Wightman 5d7af97981
Update README.md
5 years ago
Ross Wightman 3129bdb2c1
Update README.md
5 years ago
Ross Wightman ff421e5e09 New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
5 years ago
Ross Wightman 00b93407c7 Update results-all.csv with latest models/weights
5 years ago
Ross Wightman 5259dbcbb4 Update README.md with latest changes
5 years ago
Ross Wightman 3bef524f9c Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
Ross Wightman 3ceeedc441
Merge pull request #53 from rwightman/condconvs_and_features
5 years ago
Ross Wightman 7b3c235ccc Update sotabench with new models
5 years ago
Ross Wightman 6ca0828166 Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2
5 years ago
Ross Wightman eccbadca74 Update EfficientNet comments
5 years ago