dimitra-maoutsa / odes_for_sdes
Deterministic particle dynamics for simulating Fokker-Planck probability flows
☆24Updated last year
Alternatives and similar repositories for odes_for_sdes:
Users that are interested in odes_for_sdes are comparing it to the libraries listed below
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Implementation of Action Matching☆38Updated last year
- ☆49Updated last year
- Stochastic Normalizing Flows☆75Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆36Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆54Updated 11 months ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆23Updated last year
- Implementation of approximate free-energy minimization in PyTorch☆18Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆31Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆38Updated 2 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆32Updated 4 months ago
- orbital MCMC☆10Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Forward mode laplacian implemented in JAX tracer☆29Updated 3 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆31Updated 2 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Continuous-time gradient flow for generative modeling and variational inference☆30Updated 6 years ago
- Matrix-free linear algebra in JAX.☆114Updated last month
- Implementation of various equivariant models in JAX☆12Updated 10 months ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated 2 weeks ago