NickHunt-Smith / MCMC-diffusionLinks
A Metropolis-Hastings MCMC sampler accelerated via diffusion models
☆14Updated last year
Alternatives and similar repositories for MCMC-diffusion
Users that are interested in MCMC-diffusion are comparing it to the libraries listed below
Sorting:
- ☆27Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- Simulation-based inference in JAX☆33Updated 3 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 3 months ago
- Code for Gaussian Score Matching Variational Inference☆34Updated 5 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- ☆10Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆15Updated 8 months ago
- ☆11Updated 4 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- Gradient Based Nested Sampling☆20Updated last year
- ☆19Updated 3 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Conditional density estimation with neural networks☆32Updated 6 months ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Code for "Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference" (ICML 2024)☆22Updated 2 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆39Updated 2 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated last month
- ☆52Updated 2 years ago
- Kolmogorov-Arnold Networks built on JAX☆83Updated 3 months ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Simulation-based inference benchmark☆100Updated 6 months ago