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251 Commits (e728d7083131e2b543bb652942f1c2ed71e65a0d)
 

Author SHA1 Message Date
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 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
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 #52 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 #50
5 years ago
Ross Wightman 0d58c50fb1 Add TF RandAug weights for B5/B7 EfficientNet models.
5 years ago
Ross Wightman 62105ed4a0 Better differentiate sotabench WSL, SSL, and SWSL models via model_desc
5 years ago