take-koshizuka / NLSBLinks
☆20Updated 8 months ago
Alternatives and similar repositories for NLSB
Users that are interested in NLSB are comparing it to the libraries listed below
Sorting:
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated last year
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆29Updated 11 months ago
- Implementation of Action Matching☆46Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 2 years ago
- ☆31Updated last year
- ☆18Updated last year
- ☆33Updated 6 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆37Updated 9 months ago
- ☆27Updated 2 years ago
- ☆17Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆44Updated 3 years ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆62Updated 5 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 11 months ago
- ☆17Updated 2 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- ☆32Updated last month
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- ☆32Updated 2 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆52Updated last month
- Code release for "Stochastic Optimal Control Matching"☆37Updated last year
- ☆37Updated 3 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆25Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- ☆18Updated 2 years ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆34Updated 11 months ago
- Score-based generative models for compact manifolds☆116Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Updated last year