This package contains a set of tools to train and test classification neural networks. The structure is inspired by msd_pytorch package. Data loader includes standard augmentation techniques implemented without transforms from torchvision. Model combines architectures from torchvision with a scaling layer for normalization. Tensorboard is used for logging.
Andriiashen, V. (2022). vandriiashen /aug_accuracy.