Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu
☆24Nov 18, 2019Updated 6 years ago
Alternatives and similar repositories for wasserstein-barycenters
Users that are interested in wasserstein-barycenters are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code accompanying our paper at AISTATS 2020☆21Jan 12, 2021Updated 5 years ago
- Source code for "Continuous Regularized Wasserstein Barycenters" [NeurIPS 2020].☆16Nov 4, 2020Updated 5 years ago
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- ☆12Oct 14, 2018Updated 7 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 7 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.
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Feb 3, 2020Updated 6 years ago
- Fast Topological Clustering with Wasserstein Distance (ICLR 2022)☆12Jun 24, 2022Updated 4 years ago
- Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.☆19Nov 5, 2019Updated 6 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆11Nov 14, 2017Updated 8 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆29Mar 11, 2020Updated 6 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆24Aug 2, 2019Updated 7 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)☆21May 3, 2024Updated 2 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Jul 15, 2016Updated 10 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.
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆36Jun 17, 2022Updated 4 years ago
- Solving unregularized optimal transport problems with Julia☆18Sep 16, 2023Updated 2 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- ☆13Jul 25, 2023Updated 3 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆60Apr 15, 2019Updated 7 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆32Aug 31, 2022Updated 3 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 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.
- Repository for solving discrete optimal transport problems via Cplex, Sinkhorn, FastEMD and the GPU implementation of SparseSinkhorn,☆51Nov 12, 2023Updated 2 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆30Jan 4, 2018Updated 8 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆15Feb 24, 2026Updated 5 months ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 3 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 3 years ago
- Optimal Transport for Dummies - Code, slides and article☆31May 29, 2017Updated 9 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Joint distribution optimal transportation for domain adaptation☆107Nov 27, 2017Updated 8 years ago
- ☆12Jul 25, 2024Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 6 years ago
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 7 years ago
- ☆12Feb 14, 2022Updated 4 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆18Oct 22, 2024Updated last year
- Euclidean Wasserstein-2 optimal transportation☆48Aug 19, 2023Updated 2 years ago