DoronHav / WassersteinFlowMatchingLinks
☆28Updated this week
Alternatives and similar repositories for WassersteinFlowMatching
Users that are interested in WassersteinFlowMatching are comparing it to the libraries listed below
Sorting:
- ☆32Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆37Updated 7 months ago
- ☆17Updated 3 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆36Updated 3 weeks ago
- Implementation of Action Matching☆44Updated 2 years ago
- ☆19Updated 4 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆55Updated 3 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆35Updated 10 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆71Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆41Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆66Updated this week
- Official implementation of Deep Momentum Schrödinger Bridge☆26Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 3 months ago
- Collecting research materials on neural samplers with diffusion/flow models☆52Updated 3 weeks ago
- Neural Optimal Transport with Lagrangian Costs☆56Updated last month
- ☆13Updated 2 years ago
- ☆34Updated 2 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated this week
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆35Updated 6 months ago
- Flow-matching algorithms in JAX☆97Updated 10 months ago
- Score-based generative models for compact manifolds☆111Updated last year
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated last month
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆45Updated 3 months ago
- ☆152Updated last year
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆38Updated 4 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆28Updated 4 months ago