POT : Python Optimal Transport
☆2,860Oct 28, 2026Updated this week
Alternatives and similar repositories for POT
Users that are interested in POT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Geometric loss functions between point clouds, images and volumes☆714May 12, 2026Updated 5 months ago
- Web site of the Computational Optimal Transport book☆377Feb 16, 2023Updated 3 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆447May 14, 2018Updated 8 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆770Sep 18, 2026Updated last month
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆248May 9, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,194Jul 17, 2026Updated 3 months ago
- implements optimal transport algorithms in pytorch☆106May 15, 2022Updated 4 years ago
- Code for Optimal Transport for structured data with application on graphs☆111Dec 17, 2022Updated 3 years ago
- Python implementation of smooth optimal transport.☆61May 5, 2021Updated 5 years ago
- A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.☆56Sep 23, 2021Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆61Aug 16, 2018Updated 8 years ago
- Joint distribution optimal transportation for domain adaptation☆107Nov 27, 2017Updated 8 years ago
- Approximating Wasserstein distances with PyTorch☆459Apr 15, 2023Updated 3 years ago
- ☆214Jan 31, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,491Apr 4, 2025Updated last year
- Computations and statistics on manifolds with geometric structures.☆1,527Oct 7, 2026Updated 3 weeks ago
- Optimal transport and generalizations☆68May 13, 2019Updated 7 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆53Sep 6, 2022Updated 4 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆164Jul 24, 2020Updated 6 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,931Oct 2, 2026Updated 3 weeks ago
- Code for Sliced Gromov-Wasserstein☆69Dec 2, 2019Updated 6 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,102Updated this week
- Graph Neural Network Library for PyTorch☆24,128Oct 21, 2026Updated last week
- 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.
- Differentiable convex optimization layers☆2,147Updated this week
- Meta Optimal Transport☆108May 25, 2023Updated 3 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆913Updated this week
- CO-Optimal Transport☆41Nov 6, 2020Updated 5 years ago
- 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
- Implementation of Inexact Proximal point method for Optimal Transport☆51May 30, 2021Updated 5 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,072Oct 5, 2026Updated 3 weeks ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,626Aug 26, 2026Updated 2 months ago
- A Pytorch implementation of the optimal transport kernel embedding☆122Feb 10, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 7 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,582May 2, 2024Updated 2 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆34Jan 7, 2017Updated 9 years ago
- Numerical Tours of Signal Processing☆846Sep 8, 2026Updated last month
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,624Mar 25, 2022Updated 4 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year