You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
pytorch-image-models/timm
Ross Wightman 232ab7fb12
Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
..
data Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl 5 years ago
loss Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl 5 years ago
models New PyTorch trained EfficientNet-B2 weights with my RandAugment impl 5 years ago
optim Add Nvidia's NovogGrad impl from Jasper (cleaner/faster than current) and Apex Fused optimizers 5 years ago
scheduler Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak. 5 years ago
__init__.py Add model registry and model listing fns, refactor model_factory/create_model fn 6 years ago
utils.py 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
version.py Bump version for next push to pypi 5 years ago