10 Commits (norm_mlp_classifier)

Author	SHA1	Message	Date
Hoan Nguyen	39190f5f44	Remove inplace operators when calculating the loss ... Remove inplace operators to overcome the following error when using `asymmetric_loss` ``` RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation ```	3 years ago
Ross Wightman	0387e6057e	Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1)	4 years ago
Ross Wightman	fb94350896	Update training script and loader factory to allow use of scheduler updates, repeat augment, and bce loss	4 years ago
Ross Wightman	ba9c1108a1	Add a BCE loss impl that converts dense targets to sparse /w smoothing as an alternate to CE w/ smoothing. For training experiments.	4 years ago
talrid	27fadaa922	asymmetric_loss	5 years ago
Ross Wightman	6c17d57a2c	Fix some attributions, add copyrights to some file docstrings	5 years ago
Ross Wightman	3eb4a96eda	Update AugMix, JSD, etc comments and references	6 years ago
Ross Wightman	7547119891	Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together	6 years ago
Ross Wightman	232ab7fb12	Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl	6 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	6 years ago