Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
☆94Jun 27, 2018Updated 7 years ago
Alternatives and similar repositories for OTML_DS3_2018
Users that are interested in OTML_DS3_2018 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Apr 5, 2018Updated 8 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆246May 9, 2021Updated 5 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆51Sep 6, 2022Updated 3 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆75Nov 22, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Jul 22, 2020Updated 5 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆47Mar 13, 2023Updated 3 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆59Apr 15, 2019Updated 7 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Optimal Transport for Dummies - Code, slides and article☆31May 29, 2017Updated 9 years ago
- Implementation of WGAN-TS☆13Oct 29, 2019Updated 6 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Jul 3, 2019Updated 6 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆11May 8, 2018Updated 8 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449May 14, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆81Jan 25, 2024Updated 2 years ago
- Model Fusion via Optimal Transport, NeurIPS 2020☆155Nov 16, 2022Updated 3 years ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆39Mar 18, 2025Updated last year
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆43Jan 20, 2017Updated 9 years ago
- ☆12Apr 5, 2017Updated 9 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Jun 24, 2019Updated 6 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Gabriel Peyré. Entropic Approximation of Wasserstein Gradient Flows. SIAM Journal on Imaging Sciences, 8(4), pp. 2323–2351, 2015☆18Jan 7, 2017Updated 9 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆32Dec 21, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆87Jul 25, 2024Updated last year
- Python numerical optimization toolbox☆12Nov 20, 2018Updated 7 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 4 years ago
- Learning generative models with Sinkhorn Loss☆32Nov 9, 2018Updated 7 years ago
- Syllabus and materials for bioinformatics lecture + lab☆21Apr 23, 2015Updated 11 years ago
- Deep Generative Models (Chainer)☆10Oct 12, 2017Updated 8 years ago
- ICLR2020 Downloader & Search Tool☆18Oct 8, 2019Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64May 13, 2018Updated 8 years ago
- Reading Group @mila-iqia on Computational Optimal Transport for Machine Learning Applications☆13Jun 3, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆745Updated this week
- ☆46Jul 15, 2020Updated 5 years ago
- Agnostic Mean estimation code for the paper "Agnostic Estimation of Mean and Covariance"☆14Jul 4, 2023Updated 2 years ago
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 6 years ago
- Geometric loss functions between point clouds, images and volumes☆700May 12, 2026Updated last month
- Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)☆23Jan 10, 2022Updated 4 years ago
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago