Learning the optimal transport map via input convex neural neworks
☆44Jun 26, 2020Updated 6 years ago
Alternatives and similar repositories for OT-ICNN
Users that are interested in OT-ICNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆46Jun 17, 2022Updated 4 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 3 years ago
- Supervised Training of Conditional Monge Maps☆20Oct 30, 2023Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆12Oct 14, 2018Updated 8 years ago
- ☆21Jun 26, 2023Updated 3 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- ☆13Mar 26, 2019Updated 7 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆17Jul 31, 2018Updated 8 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Feb 24, 2021Updated 5 years ago
- ☆15Jul 17, 2023Updated 3 years ago
- ☆32May 30, 2024Updated 2 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.
- A Python implementation of Monge optimal transportation☆49Oct 2, 2023Updated 3 years ago
- ☆23Feb 4, 2025Updated last year
- ☆51Jul 25, 2024Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆61Jul 25, 2024Updated 2 years ago
- Fast Laplacian estimation☆17May 31, 2024Updated 2 years ago
- A minimal example of optimal transport with Input Convex Neural Networks in Pytorch☆24Dec 22, 2021Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Oct 18, 2019Updated 7 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- CO-Optimal Transport☆41Nov 6, 2020Updated 5 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.
- ☆24Sep 10, 2021Updated 5 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆36Jun 17, 2022Updated 4 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 3 years ago
- ☆10Oct 4, 2021Updated 5 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 5 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- ☆11Dec 8, 2023Updated 2 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆10Jun 22, 2022Updated 4 years ago
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Apr 20, 2023Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 6 years ago
- ☆20May 20, 2021Updated 5 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 8 years ago
- Accompanying code for the ICML'23 paper "Unscented Autoencoder", authored by Faris Janjos, Lars Rosenbaum, Maxim Dolgov, and J. Marius Zo…☆10Sep 14, 2023Updated 3 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago