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 52 mixup augmentation frameworks tracked. 2 score above 50 (established tier). The highest-rated is Westlake-AI/openmixup at 58/100 with 656 stars.

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#	Framework	Score	Tier	Stars	Language
1	Westlake-AI/openmixup CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning...	58	Established	656	Python
2	YU1ut/MixMatch-pytorch Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"	51	Established	653	Python
3	kamata1729/QATM_pytorch Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning	48	Emerging	198	Jupyter Notebook
4	nttcslab/msm-mae Masked Spectrogram Modeling using Masked Autoencoders for Learning...	46	Emerging	100	Jupyter Notebook
5	rgeirhos/generalisation-humans-DNNs Data, code & materials from the paper "Generalisation in humans and deep...	44	Emerging	95	R
6	elijahcole/sinr Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023	43	Emerging	54	Python
7	WisconsinAIVision/MixNMatch Pytorch implementation of MixNMatch	43	Emerging	971	Python
8	liuruiyang98/Jittor-MLP Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator,...	41	Emerging	170	Python
9	zabaras/inn-surrogate Solving inverse problems using conditional invertible neural networks.	40	Emerging	33	Python
10	meteahishali/SRL-SOA Hyperspectral Band Selection using Self-Representation Learning with Sparse...	40	Emerging	25	Python
11	winci-ai/resa An official implementation of ReSA (ICML 2025)	39	Emerging	25	Python
12	isaaccorley/mlp-mixer-pytorch PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision"...	39	Emerging	31	Python
13	MrChenFeng/MaskCon_CVPR2023 MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)	38	Emerging	35	Python
14	RAIVNLab/sugar-crepe [NeurIPS 2023] A faithful benchmark for vision-language compositionality	38	Emerging	89	Python
15	MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation Pytorch implementation of Learning Disentangled Representations via Mutual...	37	Emerging	82	Python
16	davidsvy/hard-negative-mixing An unofficial PyTorch implementation of the NeurIPS 2020 paper Hard Negative...	37	Emerging	20	Python
17	vikasverma1077/manifold_mixup Code for reproducing Manifold Mixup results (ICML 2019)	36	Emerging	492	Python
18	Westlake-AI/Awesome-Mixup [Survey] Awesome List of Mixup Augmentation and Beyond...	36	Emerging	164	—
19	megvii-research/SSQL-ECCV2022 PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)	35	Emerging	73	Python
20	whieya/Learning-to-compose [ICLR'24] Learning to Compose: Improving Object Centric Learning by...	34	Emerging	8	Python
21	horrible-dong/DPA [NeurIPS 2024] Dual-Perspective Activation: Efficient Channel Denoising via...	34	Emerging	8	Python
22	Junyu-Liu-Nate/PartComposer Code for SIGGRAPH Asia'25 paper "PartComposer: Learning and Composing...	33	Emerging	4	Python
23	ZLiu21/SoftShape This is an official pytorch implementation for paper "Learning Soft Sparse...	33	Emerging	20	Python
24	acmi-lab/CHILS Code and results accompanying our paper titled CHiLS: Zero-Shot Image...	33	Emerging	60	Python
25	matlab-deep-learning/convmixer-patches-are-all-you-need ConvMixer - Patches Are All You Need?	33	Emerging	6	MATLAB
26	DualPM/DualPM_Paper Training, inference and some benchmark code for DualPM presented at CVPR...	32	Emerging	17	Python
27	wl-zhao/DIML [ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching	31	Emerging	102	Python
28	ZzzitaoFang/NeuroMerging [EMNLP 2025] To See a World in a Spark of Neuron: Disentangling Multi-task...	29	Experimental	5	Python
29	ananthu-aniraj/masking_strategies_bias_removal Masking Strategies for Background Bias Removal in Computer Vision Models...	29	Experimental	16	Python
30	gan3sh500/mixmatch-pytorch Pytorch Implementation of the paper MixMatch: A Holistic Approach to...	29	Experimental	123	Jupyter Notebook
31	Guaishou74851/PRL (IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed...	27	Experimental	44	Python
32	jekim5418/DPM Official code for DPM : A Novel Training Method for Physics-Informed Neural...	27	Experimental	10	Python
33	Ardawanism/ConvMixer-Patches-Are-All-You-Need In this repository, a very informative and comprehensive implementation of...	26	Experimental	6	Jupyter Notebook
34	leeh2213/MB2C The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency...	26	Experimental	22	Python
35	danielegrattarola/GINR Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).	25	Experimental	74	HTML
36	carlobretti/object-scene-compositions-for-actions Code base for BMVC21 paper on zero-shot action recognition from object and...	25	Experimental	8	Jupyter Notebook
37	habla-liaa/encodecmae Codebase for the paper 'EncodecMAE: Leveraging neural codecs for universal...	24	Experimental	101	Python
38	han20192019/skill-composition-benchmark Benchmarks for Compose by Focus: Scene Graph-based Atomic Skills	24	Experimental	10	Python
39	adaminsky/pips [NeurIPS 2025] PIPS: Per-Instance Program Synthesis	24	Experimental	3	Python
40	Ekoda/SoftMoE Soft Mixture of Experts Vision Transformer, addressing MoE limitations as...	23	Experimental	16	Python
41	mmrl/disent-and-gen Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).	22	Experimental	21	Jupyter Notebook
42	ChristophReich1996/HyperMixer PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI...	22	Experimental	18	Python
43	AslanDing/AutoTCL AutoTCL and Parametric Augmentation for Time Series Contrastive Learning(ICLR2024)	21	Experimental	23	Python
44	xrenaa/Retriever [ICLR2022] Code for "Retriever: Learning Content-Style Representation as a...	21	Experimental	54	—
45	CVL-UESTC/IGA-INR ICML2025-Inductive Gradient Adjustment for Spectral Bias in Implicit Neural...	21	Experimental	47	Jupyter Notebook
46	KentaItakura/Data-Augmentation-using-Mix-up-with-Custom-Training-Loop-with-MATLAB Data Augmentation using Mix-up with Custom Training Loop	20	Experimental	8	MATLAB
47	chengtan9907/Hyperspherical-Consistency-Regularization The official implementation of the CVPR'2022 paper Hyperspherical...	19	Experimental	29	Python
48	ramzikhantouchi/mlp-mixer MLP-Mixer: An all-MLP Architecture for Vision	18	Experimental	2	Python
49	kpup1710/CAMEx [ICLR 2025] CAMEx: Curvature-Aware Merging of Experts	14	Experimental	23	Python
50	anas-rz/specmix-pytorch A Mixed Sample Data Augmentation method for Training with Time-Frequency...	13	Experimental	10	Jupyter Notebook
51	mmrl/lost-in-latent-space Code from the article: "Lost in Latent Space: Examining Failures of...	12	Experimental	8	Python
52	MLO-lab/BVCD_generative_models Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for...	11	Experimental	3	Jupyter Notebook

Comparisons in this category

MixMatch-pytorch and MixNMatch (51 vs 43) openmixup and Awesome-Mixup (58 vs 36)