A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
☆24Sep 9, 2024Updated last year
Alternatives and similar repositories for Wasserstein1Benchmark
Users that are interested in Wasserstein1Benchmark are comparing it to the libraries listed below
Sorting:
- Official Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆24Aug 29, 2024Updated last year
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆17Jul 7, 2025Updated 8 months ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆34Jun 17, 2022Updated 3 years ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆25Dec 24, 2024Updated last year
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆34Oct 3, 2023Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42May 8, 2022Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆47Jun 17, 2022Updated 3 years ago
- PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)☆28Jun 2, 2025Updated 9 months ago
- Learning the optimal transport map via input convex neural neworks☆42Jun 26, 2020Updated 5 years ago
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Apr 20, 2023Updated 2 years ago
- PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)☆20Jul 3, 2023Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆31Mar 21, 2024Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60May 3, 2022Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 2 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Feb 24, 2021Updated 5 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- ☆22Feb 4, 2025Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated last year
- Cross-Domain Imitation Learning via Optimal Transport☆25Jun 24, 2022Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆13Dec 8, 2022Updated 3 years ago
- ☆52Feb 27, 2023Updated 3 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆27Feb 3, 2020Updated 6 years ago
- The Limited Multi-Label Projection Layer☆59Jul 25, 2024Updated last year
- ☆11Feb 14, 2022Updated 4 years ago
- Fast Laplacian estimation☆16May 31, 2024Updated last year
- ☆13Mar 26, 2019Updated 6 years ago
- ☆14Dec 28, 2022Updated 3 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 5 years ago
- ☆14Jun 8, 2023Updated 2 years ago
- ☆51Jul 25, 2024Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- ☆13Jun 13, 2023Updated 2 years ago
- Fast Topological Clustering with Wasserstein Distance (ICLR 2022)☆12Jun 24, 2022Updated 3 years ago
- Kernel Identification Through Transformers☆14May 19, 2023Updated 2 years ago
- https://arxiv.org/abs/2102.12594☆14Oct 3, 2023Updated 2 years ago
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆15May 31, 2023Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago