Popular GitHub Repositories for Cutmix Mixup

face recognition training project(pytorch)

TextAugment: Text Augmentation Library

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

Official Pytorch Implementation for "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion" (AAAI 2024)

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

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

Data Augmentation For Object Detection using Pytorch and PIL

Code for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".

Exploring mixup strategies for text classification

Tensorflow implementation of the Manifold Mixup machine learning research paper

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

[CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method

ManifoldMixup with support for Interpolated Adversarial training

Black-box Few-shot Knowledge Distillation

(TMLR 2025) M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification

Code for the ACL 2023 long paper "Composition-contrastive Learning for Sentence Embeddings"

BUAA SCSE Autumn 2021 Machine Learning Personal Homework

Python package for data augmentation inspired by Mixup: Beyond Empirical Risk Minimization

To evaluate the performance of each regularization method (cutout, mixup, and self-supervised rotation predictor), we apply it to the CIFAR-10 dataset using a deep residual network with a depth of 20 (ResNet20)

This repository is a testament to my growth and understanding of deep learning. It highlights foundational skills in TensorFlow, demonstrates hands-on applications like car price prediction, and culminates in an advanced medical imaging project for malaria diagnosis.