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pytorch-image-models/timm/data
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Ross Wightman 7547119891
Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 		5 years ago
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__init__.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 5 years ago
auto_augment.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 5 years ago
config.py A number of tweaks to arguments, epoch handling, config 5 years ago
constants.py Big re-org, working towards making pip/module as 'timm' 5 years ago
dataset.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 5 years ago
distributed_sampler.py Big re-org, working towards making pip/module as 'timm' 5 years ago
loader.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 5 years ago
mixup.py Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl 5 years ago
random_erasing.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 5 years ago
tf_preprocessing.py Add MixNet (https://arxiv.org/abs/1907.09595) with pretrained weights converted from Tensorflow impl 5 years ago
transforms.py Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl 5 years ago
transforms_factory.py Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together 5 years ago