PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
☆32Updated 2 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
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆40Updated 2 years ago
- Implementation of Action Matching☆41Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- ☆32Updated 11 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 9 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆31Updated 4 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 7 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 6 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆23Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆33Updated 8 months ago
- ☆17Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago
- ☆11Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆100Updated last year
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆18Updated 4 months ago
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 4 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- ☆53Updated 9 months ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year