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Official Pytorch implementation of CutMix regularizer

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

Official PyTorch implementation of DiffuseMix : Label-Preserving Data Augmentation with Diffusion Models (CVPR'2024)

Keras implementation of CutMix regularizer

Official Codes and Pretrained Models for RecursiveMix

FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.

tensorflow2 implementation of SnapMix as described in SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

This is a TensorFlow implementation of the following paper: DropBlock: A regularization method for convolutional networks

PyTorch implementation of 'ViT' (Dosovitskiy et al., 2020) and training it on CIFAR-10 and CIFAR-100

DualDet implementation using PyTorch