Commit Graph

1702 Commits (norm_mlp_classifier)
 

Author SHA1 Message Date
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 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 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 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
Ross Wightman 902d32fb16 Renamed gen_efficientnet.py -> efficientnet.py 5 years ago
Ross Wightman 5a0a8de7e3 ResNet updates: 5 years ago
Ross Wightman 3b8f63084d Clean checkpoint renames pth w/ SHA hash in a torch hub compatible way 5 years ago
Ross Wightman a39cc43374 Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo 5 years ago
Ross Wightman ad93347548 Initial HRNet classification model commit 5 years ago
Ross Wightman 2393708650 Missed stashing of out_indices in model 5 years ago
Ross Wightman 35e8f0c5e7 Fixup a few comments, add PyTorch version aware Flatten and finish as_sequential for GenEfficientNet 5 years ago
Ross Wightman 7ac6db4543 Missed activations.py 5 years ago
Ross Wightman 506df0e3d0 Add CondConv support for EfficientNet into WIP for GenEfficientNet Feature extraction setup 5 years ago
Ross Wightman db04677c94
Merge pull request from rwightman/randaugment 5 years ago
Ross Wightman 576d360f20 Bring in JIT version of optimized swish activation from gen_efficientnet as default (while working on feature extraction functionality here). 5 years ago
Ross Wightman 1f39d15f15 Allow float decay epochs arg for training, works out with step lr math 5 years ago
Ross Wightman 7b83e67f77 Pass drop connect arg through to EfficientNet models 5 years ago
Ross Wightman 31453b039e Update Auto/RandAugment comments, README, more. 5 years ago
Ross Wightman 4243f076f1 Adding RandAugment to AutoAugment impl, some tweaks to AA included 5 years ago
Ross Wightman 4748c6dff2 Fix non-prefetch variant of Mixup. Fixes 5 years ago
Ross Wightman 0d58c50fb1 Add TF RandAug weights for B5/B7 EfficientNet models. 5 years ago