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...

61
Established
2 YU1ut/MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

51
Established
3 kamata1729/QATM_pytorch

Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning

48
Emerging
4 nttcslab/msm-mae

Masked Spectrogram Modeling using Masked Autoencoders for Learning...

46
Emerging
5 rgeirhos/generalisation-humans-DNNs

Data, code & materials from the paper "Generalisation in humans and deep...

44
Emerging
6 elijahcole/sinr

Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023

43
Emerging
7 WisconsinAIVision/MixNMatch

Pytorch implementation of MixNMatch

43
Emerging
8 liuruiyang98/Jittor-MLP

Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator,...

41
Emerging
9 zabaras/inn-surrogate

Solving inverse problems using conditional invertible neural networks.

40
Emerging
10 isaaccorley/mlp-mixer-pytorch

PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision"...

39
Emerging
11 RAIVNLab/sugar-crepe

[NeurIPS 2023] A faithful benchmark for vision-language compositionality

38
Emerging
12 MrChenFeng/MaskCon_CVPR2023

MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)

38
Emerging
13 MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation

Pytorch implementation of Learning Disentangled Representations via Mutual...

37
Emerging
14 vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

36
Emerging
15 Westlake-AI/Awesome-Mixup

[Survey] Awesome List of Mixup Augmentation and Beyond...

36
Emerging
16 megvii-research/SSQL-ECCV2022

PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)

35
Emerging
17 meteahishali/SRL-SOA

Hyperspectral Band Selection using Self-Representation Learning with Sparse...

33
Emerging
18 acmi-lab/CHILS

Code and results accompanying our paper titled CHiLS: Zero-Shot Image...

33
Emerging
19 winci-ai/resa

An official implementation of ReSA (ICML 2025)

32
Emerging
20 wl-zhao/DIML

[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

31
Emerging
21 davidsvy/hard-negative-mixing

An unofficial PyTorch implementation of the NeurIPS 2020 paper Hard Negative...

30
Emerging
22 gan3sh500/mixmatch-pytorch

Pytorch Implementation of the paper MixMatch: A Holistic Approach to...

29
Experimental
23 Junyu-Liu-Nate/PartComposer

Code for SIGGRAPH Asia'25 paper "PartComposer: Learning and Composing...

27
Experimental
24 horrible-dong/DPA

[NeurIPS 2024] Dual-Perspective Activation: Efficient Channel Denoising via...

27
Experimental
25 ZLiu21/SoftShape

This is an official pytorch implementation for paper "Learning Soft Sparse...

27
Experimental
26 Guaishou74851/PRL

(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed...

27
Experimental
27 whieya/Learning-to-compose

[ICLR'24] Learning to Compose: Improving Object Centric Learning by...

27
Experimental
28 matlab-deep-learning/convmixer-patches-are-all-you-need

ConvMixer - Patches Are All You Need?

26
Experimental
29 ValentinKoch/SVDNA

The github repository of the paper "Noise Transfer for Unsupervised Domain...

26
Experimental
30 DualPM/DualPM_Paper

Training, inference and some benchmark code for DualPM presented at CVPR...

26
Experimental
31 danielegrattarola/GINR

Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).

25
Experimental
32 habla-liaa/encodecmae

Codebase for the paper 'EncodecMAE: Leveraging neural codecs for universal...

24
Experimental
33 ibnaleem/mixtral.py

A Python module for running the Mixtral-8x7B language model with...

23
Experimental
34 ZzzitaoFang/NeuroMerging

[EMNLP 2025] To See a World in a Spark of Neuron: Disentangling Multi-task...

23
Experimental
35 ananthu-aniraj/masking_strategies_bias_removal

Masking Strategies for Background Bias Removal in Computer Vision Models...

22
Experimental
36 xrenaa/Retriever

[ICLR2022] Code for "Retriever: Learning Content-Style Representation as a...

21
Experimental
37 CVL-UESTC/IGA-INR

ICML2025-Inductive Gradient Adjustment for Spectral Bias in Implicit Neural...

21
Experimental
38 han20192019/skill-composition-benchmark

Benchmarks for Compose by Focus: Scene Graph-based Atomic Skills

20
Experimental
39 jekim5418/DPM

Official code for DPM : A Novel Training Method for Physics-Informed Neural...

20
Experimental
40 leeh2213/MB2C

The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency...

19
Experimental
41 Ardawanism/ConvMixer-Patches-Are-All-You-Need

In this repository, a very informative and comprehensive implementation of...

19
Experimental
42 adaminsky/pips

[NeurIPS 2025] PIPS: Per-Instance Program Synthesis

18
Experimental
43 carlobretti/object-scene-compositions-for-actions

Code base for BMVC21 paper on zero-shot action recognition from object and...

18
Experimental
44 Ekoda/SoftMoE

Soft Mixture of Experts Vision Transformer, addressing MoE limitations as...

16
Experimental
45 ChristophReich1996/HyperMixer

PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI...

15
Experimental
46 mmrl/disent-and-gen

Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

15
Experimental
47 AslanDing/AutoTCL

AutoTCL and Parametric Augmentation for Time Series Contrastive Learning(ICLR2024)

14
Experimental
48 KentaItakura/Data-Augmentation-using-Mix-up-with-Custom-Training-Loop-with-MATLAB

Data Augmentation using Mix-up with Custom Training Loop

13
Experimental
49 chengtan9907/Hyperspherical-Consistency-Regularization

The official implementation of the CVPR'2022 paper Hyperspherical...

12
Experimental
50 ramzikhantouchi/mlp-mixer

MLP-Mixer: An all-MLP Architecture for Vision

11
Experimental

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