take-koshizuka / NLSB
☆19Updated 3 months ago
Alternatives and similar repositories for NLSB:
Users that are interested in NLSB are comparing it to the libraries listed below
- Implementation of Action Matching☆41Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆25Updated last year
- ☆32Updated 11 months ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆21Updated 6 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆53Updated 3 weeks ago
- ☆33Updated 10 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆77Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- Score-based generative models for compact manifolds☆110Updated last year
- Code release for "Stochastic Optimal Control Matching"☆34Updated 8 months ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆83Updated 3 years ago
- ☆26Updated last month
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆40Updated 2 years ago
- ☆17Updated 3 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- ☆17Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆49Updated last month
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆35Updated 5 months ago
- ☆24Updated last year
- ☆12Updated last year
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆17Updated 3 months ago
- ☆108Updated last year
- ☆16Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 6 months ago
- ☆28Updated 2 years ago