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a collection of AWESOME things about Optimal Transport in Deep Learning
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| 2026-07-31 | 354 |
| 2026-08-06 | 354 |
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# Awesome Optimal Transport in Deep Learning
:wave: Hi! This repo is a collection of AWESOME things about :star2:**Optimal Transport in Deep Learning**:star2:, including useful materials, papers, code. Feel free to star and fork.
TODO:
- [ ] Update recent papers within the last 3 years
- [ ] Add pdf&code links
# Contents
<!-- generated by vscode Markdown All in One -->
- [Awesome Optimal Transport in Deep Learning](#awesome-optimal-transport-in-deep-learning)
- [Contents](#contents)
- [Useful Materials](#useful-materials)
- [Tutorials](#tutorials)
- [Courses](#courses)
- [Books](#books)
- [Libraries](#libraries)
- [AWESOME Repos](#awesome-repos)
- [Papers](#papers)
- [Survey](#survey)
- [Theory](#theory)
- [Learning Problems](#learning-problems)
- [Domain Adaptation](#domain-adaptation)
- [Clustering/Self-Supervised Learning](#clusteringself-supervised-learning)
- [Semi-Supervised Learning](#semi-supervised-learning)
- [Label Refinery](#label-refinery)
- [Class-Imbalanced/Long-Tailed Learning](#class-imbalancedlong-tailed-learning)
- [Positive-Unlabeled Learning](#positive-unlabeled-learning)
- [Out-of-Distribution Detection/Open Set Recognition](#out-of-distribution-detectionopen-set-recognition)
- [Federated Learning](#federated-learning)
- [Others](#others)
- [Graph Learning](#graph-learning)
- [Cross-Modal Learning](#cross-modal-learning)
- [Generative Modeling](#generative-modeling)
- [GAN](#gan)
- [Diffusion Model](#diffusion-model)
- [Schrödinger Bridge](#schrödinger-bridge)
- [Normalizing Flow Model](#normalizing-flow-model)
- [Neural Optimal Transport](#neural-optimal-transport)
- [Reinforcement Learning](#reinforcement-learning)
- [Imitation Learning](#imitation-learning)
- [Computer Vision Tasks](#computer-vision-tasks)
- [2D CV Tasks](#2d-cv-tasks)
- [3D CV Tasks](#3d-cv-tasks)
- [NLP Tasks](#nlp-tasks)
# Useful Materials
## Tutorials
* [Marco Cuturi] A Primer on Optimal Transport [[video-p1]](https://www.youtube.com/watch?v=6iR1E6t1MMQ) [[video-p2]](https://www.youtube.com/watch?v=1ZiP_7kmIoc&t=377s) [[video-p3]](https://www.youtube.com/watch?v=SZHumKEhgtA) [[slides]](https://www.dropbox.com/s/3kuqnhmf2q0dzjq/mlss18_argentina.pdf?dl=0)
* [Justin Solomon] Shape Analysis (Lecture 19): Optimal transport [[video]](https://www.youtube.com/watch?v=MSbvkhAR0VY) [[slides]](http://groups.csail.mit.edu/gdpgroup/assets/68410_spring_2023/13_optimal_transport.pdf)
* [Gabriel Peyré] Optimal transport for machine learning [[video]](https://www.youtube.com/watch?v=mITml5ZpqM8)
* [Nicolas Courty] Optimal transport for graphs [[video]](https://www.youtube.com/watch?v=MHzRgIzgYjg)
* [Gabriel Peyré & Marco Cuturi] Optimal Transportation and Application - 25 october 2022 [[video]](https://www.youtube.com/watch?v=JT99qBSsiJo)
* [Rémi Flamary] Optimal Transport for Machine Learning tutorial [[page]](http://remi.flamary.com/cours/tuto_otml.html)
## Courses
* [Université Paris-Saclay] Lénaïc Chizat: Introduction to Optimal Transport Theory [[page]](https://lchizat.github.io/ot2021orsay.html)
* [ENSAE] Marco Cuturi: Optimal Transport (Spring 2023) [[page]](http://marcocuturi.net/ot.html)
* [Data Science Summer School] Rémi Flamary: Optimal Transport and Machine Learning DS3 2018 [[page]](https://github.com/rflamary/OTML_DS3_2018)
## Books
* [Gabriel Peyré & Marco Cuturi] Computational Optimal Transport [[pdf]](https://arxiv.org/abs/1803.00567) [[page]](https://optimaltransport.github.io/) [[course notes]](https://optimaltransport.github.io/slides-peyre/CourseOT.pdf)
## Libraries
* POT: Python Optimal Transport (Python Optimal Transport library) [[GitHub]](https://github.com/PythonOT/POT) [[page]](https://pythonot.github.io/)
* OTT-JAX: Optimal Transport Tools implemented with the JAX framework [[GitHub]](https://github.com/ott-jax/ott) [[page]](https://ott-jax.readthedocs.io/en/latest/)
* GeomLoss: efficient GPU implementatiExcerpt of 40,716 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c9bbac60e6429a1c, llm:Description: 'a collection of AWESOME things about Optimal Transport in Deep Learning' (awesome-list / curated resources)
matched fp:c9bbac60e6429a1c, llm:Description: 'a collection of AWESOME things about Optimal Transport in Deep Learning' (awesome-list / curated resources)
matched fp:c9bbac60e6429a1c, llm:Description: 'a collection of AWESOME things about Optimal Transport in Deep Learning' (awesome-list / curated resources)
matched fp:c9bbac60e6429a1c, llm:Description: 'a collection of AWESOME things about Optimal Transport in Deep Learning' (awesome-list / curated resources)