A Metropolis-Hastings MCMC sampler accelerated via diffusion models
☆17Jul 25, 2024Updated last year
Alternatives and similar repositories for MCMC-diffusion
Users that are interested in MCMC-diffusion are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- Minimal (unofficial) implementation of the flow map matching method.☆15Jul 9, 2025Updated last year
- Deep learning for gravitational potentials, based on well-mixed tracers in phase space.☆12Jun 30, 2026Updated 2 weeks ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago
- ☆10Sep 29, 2023Updated 2 years ago
- ☆11Sep 21, 2021Updated 4 years ago
- ☆10Apr 28, 2017Updated 9 years ago
- KENN - A Transformer Encoder for Gravitational Waves☆12Sep 29, 2025Updated 9 months ago
- Neural network model for gravitational wave sky localization☆12Feb 29, 2024Updated 2 years ago
- ☆16Updated this week
- Finding new worlds from Kepler/TESS data with PyTorch-- A fork of ExoNet from Ansdell et al. 2018☆13Dec 19, 2019Updated 6 years ago
- Combined Hierarchical Inference Model for Electromagnetic and gRavitational Wave Analysis☆16Updated this week
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆35Nov 8, 2023Updated 2 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆15Nov 14, 2022Updated 3 years ago
- Integrating Devito operators into PyTorch☆13Mar 17, 2021Updated 5 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆51Jun 26, 2025Updated last year
- A software repository for magnetotelluric research and applications☆15Updated this week
- Structural Fire Engineering - Probabilistic Reliability Assessment☆17Jul 24, 2025Updated 11 months ago
- JuliaCon 2024 Dagger Workshop materials☆16Aug 8, 2024Updated last year
- orbital MCMC☆10Jun 17, 2021Updated 5 years ago
- Code for Gaussian Score Matching Variational Inference☆34Feb 23, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 7 years ago
- Train-Track-Bridge interaction simulation tool for Matlab☆15Apr 10, 2024Updated 2 years ago
- Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.☆16May 31, 2017Updated 9 years ago
- ☆13Mar 14, 2025Updated last year
- List of notes, codes and everything necessary to my course on theoretical nuclear physics☆18Mar 13, 2021Updated 5 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆68Mar 11, 2024Updated 2 years ago
- This is to detect the crack tip and the Stress Intensity Factor (SIF) from a displacement field during the fracture. The displacement is …☆14Jan 19, 2020Updated 6 years ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Feb 8, 2024Updated 2 years ago
- Generative Models for Simulation-Based Inference in JAX☆19Updated this week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated 5 months ago
- Easily generate random fields☆20Jul 13, 2026Updated last week
- ☆11Oct 6, 2021Updated 4 years ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 2 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆27Mar 10, 2023Updated 3 years ago
- Code for "Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction"☆15Jun 30, 2025Updated last year
- ☆22Nov 18, 2025Updated 8 months ago