PetrMokrov / Large-Scale-Wasserstein-Gradient-FlowsLinks
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
☆39Updated 3 years ago
Alternatives and similar repositories for Large-Scale-Wasserstein-Gradient-Flows
Users that are interested in Large-Scale-Wasserstein-Gradient-Flows are comparing it to the libraries listed below
Sorting:
- Stochastic Normalizing Flows☆78Updated 3 years ago
- ☆21Updated 10 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆45Updated 3 years ago
- Implementation of Action Matching☆48Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Neural Diffusion Processes☆81Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- ☆31Updated last year
- Regularized Neural ODEs (RNODE)☆83Updated 4 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆39Updated 11 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- ☆18Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- ☆35Updated 8 months ago
- ☆52Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆51Updated 3 months ago
- ☆37Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- ☆34Updated 3 months ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago