Mixup Augmentation Frameworks
PyTorch implementations of mixup-based data augmentation techniques and MLP-based vision architectures. Includes mixup variants (MixMatch, Manifold Mixup, AlignMixup), MLP-Mixer architectures, and mixing-based training methods. Does NOT include general data augmentation, vision transformers, or contrastive learning frameworks outside the mixing paradigm.
There are 50 mixup augmentation frameworks tracked. 2 score above 50 (established tier). The highest-rated is Westlake-AI/openmixup at 61/100 with 656 stars and 24 monthly downloads.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning... |
|
Established |
| 2 |
YU1ut/MixMatch-pytorch
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning" |
|
Established |
| 3 |
kamata1729/QATM_pytorch
Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning |
|
Emerging |
| 4 |
nttcslab/msm-mae
Masked Spectrogram Modeling using Masked Autoencoders for Learning... |
|
Emerging |
| 5 |
rgeirhos/generalisation-humans-DNNs
Data, code & materials from the paper "Generalisation in humans and deep... |
|
Emerging |
| 6 |
elijahcole/sinr
Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023 |
|
Emerging |
| 7 |
WisconsinAIVision/MixNMatch
Pytorch implementation of MixNMatch |
|
Emerging |
| 8 |
liuruiyang98/Jittor-MLP
Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator,... |
|
Emerging |
| 9 |
zabaras/inn-surrogate
Solving inverse problems using conditional invertible neural networks. |
|
Emerging |
| 10 |
isaaccorley/mlp-mixer-pytorch
PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision"... |
|
Emerging |
| 11 |
RAIVNLab/sugar-crepe
[NeurIPS 2023] A faithful benchmark for vision-language compositionality |
|
Emerging |
| 12 |
MrChenFeng/MaskCon_CVPR2023
MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023) |
|
Emerging |
| 13 |
MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation
Pytorch implementation of Learning Disentangled Representations via Mutual... |
|
Emerging |
| 14 |
vikasverma1077/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019) |
|
Emerging |
| 15 |
Westlake-AI/Awesome-Mixup
[Survey] Awesome List of Mixup Augmentation and Beyond... |
|
Emerging |
| 16 |
megvii-research/SSQL-ECCV2022
PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation) |
|
Emerging |
| 17 |
meteahishali/SRL-SOA
Hyperspectral Band Selection using Self-Representation Learning with Sparse... |
|
Emerging |
| 18 |
acmi-lab/CHILS
Code and results accompanying our paper titled CHiLS: Zero-Shot Image... |
|
Emerging |
| 19 |
winci-ai/resa
An official implementation of ReSA (ICML 2025) |
|
Emerging |
| 20 |
wl-zhao/DIML
[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching |
|
Emerging |
| 21 |
davidsvy/hard-negative-mixing
An unofficial PyTorch implementation of the NeurIPS 2020 paper Hard Negative... |
|
Emerging |
| 22 |
gan3sh500/mixmatch-pytorch
Pytorch Implementation of the paper MixMatch: A Holistic Approach to... |
|
Experimental |
| 23 |
Junyu-Liu-Nate/PartComposer
Code for SIGGRAPH Asia'25 paper "PartComposer: Learning and Composing... |
|
Experimental |
| 24 |
horrible-dong/DPA
[NeurIPS 2024] Dual-Perspective Activation: Efficient Channel Denoising via... |
|
Experimental |
| 25 |
ZLiu21/SoftShape
This is an official pytorch implementation for paper "Learning Soft Sparse... |
|
Experimental |
| 26 |
Guaishou74851/PRL
(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed... |
|
Experimental |
| 27 |
whieya/Learning-to-compose
[ICLR'24] Learning to Compose: Improving Object Centric Learning by... |
|
Experimental |
| 28 |
matlab-deep-learning/convmixer-patches-are-all-you-need
ConvMixer - Patches Are All You Need? |
|
Experimental |
| 29 |
ValentinKoch/SVDNA
The github repository of the paper "Noise Transfer for Unsupervised Domain... |
|
Experimental |
| 30 |
DualPM/DualPM_Paper
Training, inference and some benchmark code for DualPM presented at CVPR... |
|
Experimental |
| 31 |
danielegrattarola/GINR
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022). |
|
Experimental |
| 32 |
habla-liaa/encodecmae
Codebase for the paper 'EncodecMAE: Leveraging neural codecs for universal... |
|
Experimental |
| 33 |
ibnaleem/mixtral.py
A Python module for running the Mixtral-8x7B language model with... |
|
Experimental |
| 34 |
ZzzitaoFang/NeuroMerging
[EMNLP 2025] To See a World in a Spark of Neuron: Disentangling Multi-task... |
|
Experimental |
| 35 |
ananthu-aniraj/masking_strategies_bias_removal
Masking Strategies for Background Bias Removal in Computer Vision Models... |
|
Experimental |
| 36 |
xrenaa/Retriever
[ICLR2022] Code for "Retriever: Learning Content-Style Representation as a... |
|
Experimental |
| 37 |
CVL-UESTC/IGA-INR
ICML2025-Inductive Gradient Adjustment for Spectral Bias in Implicit Neural... |
|
Experimental |
| 38 |
han20192019/skill-composition-benchmark
Benchmarks for Compose by Focus: Scene Graph-based Atomic Skills |
|
Experimental |
| 39 |
jekim5418/DPM
Official code for DPM : A Novel Training Method for Physics-Informed Neural... |
|
Experimental |
| 40 |
leeh2213/MB2C
The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency... |
|
Experimental |
| 41 |
Ardawanism/ConvMixer-Patches-Are-All-You-Need
In this repository, a very informative and comprehensive implementation of... |
|
Experimental |
| 42 |
adaminsky/pips
[NeurIPS 2025] PIPS: Per-Instance Program Synthesis |
|
Experimental |
| 43 |
carlobretti/object-scene-compositions-for-actions
Code base for BMVC21 paper on zero-shot action recognition from object and... |
|
Experimental |
| 44 |
Ekoda/SoftMoE
Soft Mixture of Experts Vision Transformer, addressing MoE limitations as... |
|
Experimental |
| 45 |
ChristophReich1996/HyperMixer
PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI... |
|
Experimental |
| 46 |
mmrl/disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021). |
|
Experimental |
| 47 |
AslanDing/AutoTCL
AutoTCL and Parametric Augmentation for Time Series Contrastive Learning(ICLR2024) |
|
Experimental |
| 48 |
KentaItakura/Data-Augmentation-using-Mix-up-with-Custom-Training-Loop-with-MATLAB
Data Augmentation using Mix-up with Custom Training Loop |
|
Experimental |
| 49 |
chengtan9907/Hyperspherical-Consistency-Regularization
The official implementation of the CVPR'2022 paper Hyperspherical... |
|
Experimental |
| 50 |
ramzikhantouchi/mlp-mixer
MLP-Mixer: An all-MLP Architecture for Vision |
|
Experimental |