iamalexkorotin / KernelNeuralOptimalTransport
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
☆25Updated last year
Alternatives and similar repositories for KernelNeuralOptimalTransport:
Users that are interested in KernelNeuralOptimalTransport are comparing it to the libraries listed below
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆36Updated last year
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆38Updated 7 months ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆17Updated 6 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 6 months ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 5 months ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆19Updated 3 months ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆52Updated 7 months ago
- ☆13Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 2 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆81Updated last month
- Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)☆16Updated 10 months ago
- ☆15Updated 3 months ago
- ☆17Updated last year
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆13Updated 3 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated last year
- ☆12Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆39Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆52Updated 2 years ago
- ☆23Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆198Updated last year
- ☆39Updated last month
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆18Updated 3 months ago
- A repo where I play with conditional flow approaches for learning time-varying vector-fields.☆17Updated 9 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆65Updated 11 months ago
- Code release for "Stochastic Optimal Control Matching"☆30Updated 7 months ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Neural Optimal Transport with Lagrangian Costs☆55Updated 8 months ago