necludov / action-matchingLinks
Implementation of Action Matching for the Schrödinger equation
☆24Updated 2 years ago
Alternatives and similar repositories for action-matching
Users that are interested in action-matching are comparing it to the libraries listed below
Sorting:
- Implementation of Action Matching☆44Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆52Updated 2 years ago
- ☆32Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 4 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- ☆35Updated 3 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆33Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆48Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆35Updated 7 months ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- ☆20Updated 5 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 8 months ago
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- [ICLR 2022] Path integral sampler☆47Updated last year
- Code release for "Stochastic Optimal Control Matching"☆35Updated 11 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- ☆17Updated 3 years ago
- ☆28Updated 3 weeks ago
- Collecting research materials on neural samplers with diffusion/flow models☆54Updated last week
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆28Updated 4 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆42Updated 3 years ago
- Code for Gaussian Score Matching Variational Inference☆34Updated 4 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated 3 weeks ago
- Neural Diffusion Processes☆81Updated 11 months ago
- [ICML2022] Variational Wasserstein gradient flow☆23Updated 2 years ago