noamroze / moser_flowView external linksLinks
☆18Mar 16, 2022Updated 3 years ago
Alternatives and similar repositories for moser_flow
Users that are interested in moser_flow are comparing it to the libraries listed below
Sorting:
- Convex potential flows☆85Nov 19, 2021Updated 4 years ago
- ☆11Oct 15, 2023Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- Fast Laplacian estimation☆16May 31, 2024Updated last year
- ☆16May 30, 2023Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆41Dec 15, 2025Updated last month
- ☆32May 30, 2024Updated last year
- Code for Gaussian Score Matching Variational Inference☆35Feb 23, 2025Updated 11 months ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated 11 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Dec 8, 2022Updated 3 years ago
- ☆13Jun 13, 2023Updated 2 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Feb 18, 2024Updated last year
- A minimal, single-file implementation of the MeanFlow paper on 2D toy examples, with a side-by-side comparison to rectified flow.☆27Jul 4, 2025Updated 7 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- ☆37Jul 1, 2020Updated 5 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- ☆18Jun 26, 2023Updated 2 years ago
- Differentiable Spherical Harmonic Transforms in PyTorch☆17Sep 19, 2022Updated 3 years ago
- ☆20Oct 3, 2024Updated last year
- Score-based generative models for compact manifolds☆119Jan 14, 2024Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆42Jun 26, 2020Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 2 years ago
- ☆22Feb 4, 2025Updated last year
- ☆20May 5, 2022Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Sep 9, 2024Updated last year
- ☆52Feb 27, 2023Updated 2 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆55Aug 14, 2025Updated 5 months ago
- ☆23Aug 15, 2023Updated 2 years ago
- Implementation of Action Matching☆51Jun 5, 2023Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆27Mar 21, 2024Updated last year
- ☆25Jul 1, 2022Updated 3 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆23Feb 4, 2024Updated 2 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆25Jun 24, 2022Updated 3 years ago
- JAX exponential map normalising flows on sphere☆17Oct 4, 2020Updated 5 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Feb 22, 2022Updated 3 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆36Oct 23, 2024Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Dec 9, 2021Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆33Jun 17, 2022Updated 3 years ago