Meta Optimal Transport
☆107May 25, 2023Updated 2 years ago
Alternatives and similar repositories for meta-ot
Users that are interested in meta-ot are comparing it to the libraries listed below
Sorting:
- 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 the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆34Jun 17, 2022Updated 3 years ago
- ☆13Mar 26, 2019Updated 6 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆25Jun 24, 2022Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Oct 5, 2025Updated 5 months ago
- [ICLR 2022] Path integral sampler☆53Aug 21, 2023Updated 2 years ago
- ☆213Jan 31, 2022Updated 4 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- ☆74Feb 17, 2023Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Oct 6, 2022Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Dec 2, 2019Updated 6 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆701Feb 5, 2026Updated last month
- Neural Optimal Transport with Lagrangian Costs☆61May 20, 2025Updated 9 months ago
- Learning the optimal transport map via input convex neural neworks☆42Jun 26, 2020Updated 5 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 2 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- ☆13Jul 17, 2023Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Oct 28, 2022Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆35Feb 12, 2021Updated 5 years ago
- ☆24Sep 10, 2021Updated 4 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60May 3, 2022Updated 3 years ago
- ☆63Feb 22, 2023Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆29Sep 25, 2021Updated 4 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Feb 24, 2021Updated 5 years ago
- POT : Python Optimal Transport☆2,763Feb 24, 2026Updated last week
- ☆50Oct 22, 2020Updated 5 years ago
- ☆18Feb 7, 2021Updated 5 years ago
- The Differentiable Cross-Entropy Method☆125Aug 14, 2020Updated 5 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Feb 9, 2024Updated 2 years ago
- ☆36Sep 20, 2022Updated 3 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆15Mar 3, 2021Updated 5 years ago
- ☆22Feb 4, 2025Updated last year
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20May 12, 2023Updated 2 years ago
- Dataset corresponding to the paper: "Form2Seq : A Framework for Higher-Order Form Structure Extraction"☆10Feb 17, 2021Updated 5 years ago