kkapusniak / metric-flow-matchingLinks
Official implementation of Metric Flow Matching (NeurIPS 2024)
☆54Updated 2 months ago
Alternatives and similar repositories for metric-flow-matching
Users that are interested in metric-flow-matching are comparing it to the libraries listed below
Sorting:
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆33Updated last year
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆37Updated 11 months ago
- ☆31Updated last year
- ☆125Updated last year
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆66Updated 7 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆86Updated 3 years ago
- Implementation of Action Matching☆46Updated 2 years ago
- ☆20Updated 8 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆97Updated last year
- ☆34Updated 2 months ago
- ☆183Updated last year
- Aligned Diffusion Schroedinger Bridges (UAI 2023)☆33Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆45Updated 3 years ago
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆28Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆80Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- PhD Thesis☆36Updated 2 years ago
- Score-based generative models for compact manifolds☆116Updated last year
- Educational implementation of the Discrete Flow Matching paper☆122Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆69Updated 7 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆64Updated 6 months ago
- Practically and asymptotically accurate conditional sampling from diffusion generative models without conditional training☆45Updated 11 months ago
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆17Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆185Updated 8 months ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆56Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆183Updated 3 years ago
- ☆13Updated 2 years ago
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆41Updated 4 years ago