pytorch-image-models/timm/data
Ross Wightman d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more
2020-01-11 12:04:29 -08:00
..
__init__.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 2020-01-05 19:58:59 -08:00
auto_augment.py Update AugMix, JSD, etc comments and references 2020-01-11 12:02:05 -08:00
config.py A number of tweaks to arguments, epoch handling, config 2019-06-28 13:49:20 -07:00
constants.py Big re-org, working towards making pip/module as 'timm' 2019-06-19 17:20:51 -07:00
dataset.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 2020-01-05 19:58:59 -08:00
distributed_sampler.py Big re-org, working towards making pip/module as 'timm' 2019-06-19 17:20:51 -07:00
loader.py Merge pull request #74 from rwightman/augmix-jsd 2020-01-11 12:04:29 -08:00
mixup.py Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl 2019-12-20 23:04:11 -08:00
random_erasing.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 2020-01-05 19:58:59 -08:00
tf_preprocessing.py Add MixNet (https://arxiv.org/abs/1907.09595) with pretrained weights converted from Tensorflow impl 2019-07-25 11:42:01 -07:00
transforms.py Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl 2019-12-20 23:04:11 -08:00
transforms_factory.py Update AugMix, JSD, etc comments and references 2020-01-11 12:02:05 -08:00