PyTorch implementation of CNNs for CIFAR benchmark

face recognition training project(pytorch)

Implementation of the mixup training method

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

TextAugment: Text Augmentation Library

🛠 Toolbox to extend PyTorch functionalities

An implementation of "mixup: Beyond Empirical Risk Minimization"

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

Data Augmentation For Object Detection using Pytorch and PIL

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet

mixup: Beyond Empirical Risk Minimization

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

[CVPR 2022] CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

An implementation of MobileNetV3 with pyTorch

Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)

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