noegroup / stochastic_normalizing_flows
Stochastic Normalizing Flows
☆72Updated 2 years ago
Related projects: ⓘ
- Implementation of Action Matching☆35Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆34Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆46Updated 6 months ago
- Library for normalizing flows and neural flows.☆23Updated 2 years ago
- ☆67Updated last year
- ☆90Updated 7 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated last month
- Score-based generative models for compact manifolds☆99Updated 8 months ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆55Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆43Updated 2 years ago
- Normalizing Flows using JAX☆82Updated 9 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆71Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- ☆15Updated 2 years ago
- ☆20Updated last year
- Regularized Neural ODEs (RNODE)☆81Updated 3 years ago
- Convex potential flows☆78Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆50Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆48Updated 2 weeks ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- ☆49Updated last year
- A minimalist implementation of score-based diffusion model☆120Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆19Updated 10 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago
- ☆30Updated 3 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆23Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆86Updated 5 months ago
- ☆58Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆35Updated last year
- Neural likelihood-free methods in PyTorch.☆38Updated 4 years ago