Sampling with gradient-based Markov Chain Monte Carlo approaches
☆109Apr 19, 2024Updated 2 years ago
Alternatives and similar repositories for Langevin-dynamics
Users that are interested in Langevin-dynamics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆53Apr 9, 2020Updated 6 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆14Feb 24, 2023Updated 3 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42May 20, 2022Updated 4 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆55Aug 9, 2025Updated 11 months ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆36Nov 29, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [NeurIPS 2023] Formulating Discrete Probability Flow Through Optimal Transport☆21Jan 8, 2024Updated 2 years ago
- Pytorch implementation of OCFGAN-GP (CVPR 2020, Oral).☆15Apr 3, 2020Updated 6 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 6 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆17Jun 18, 2026Updated 3 weeks ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆31Aug 29, 2020Updated 5 years ago
- orbital MCMC☆10Jun 17, 2021Updated 5 years ago
- Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.☆26Dec 3, 2020Updated 5 years ago
- Code for the paper Generalization and Equilibrium in GANs☆16Aug 3, 2017Updated 8 years ago
- Educational implementation of the Discrete Flow Matching paper☆136Aug 26, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆36Sep 16, 2018Updated 7 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20May 12, 2023Updated 3 years ago
- A tutorial for seismic processing of a 2D line☆18May 3, 2024Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Apr 13, 2024Updated 2 years ago
- Bayesian Deep Learning Library☆14Oct 27, 2023Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Nov 16, 2023Updated 2 years ago
- Effective transpose on Hopper GPU☆29Sep 6, 2025Updated 10 months ago
- ☆16Dec 31, 2021Updated 4 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.
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆42Mar 18, 2020Updated 6 years ago
- The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".☆12Apr 11, 2020Updated 6 years ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆160Feb 27, 2025Updated last year
- Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"☆61Aug 30, 2024Updated last year
- Neural Diffusion Processes☆83Aug 4, 2024Updated last year
- A novel general non-stationary point process model based on neural networks.☆10Sep 23, 2022Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆130Aug 18, 2021Updated 4 years ago
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Da…☆14Jun 28, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- a multi-threaded, multi-GPU Waffle web server☆12Apr 12, 2016Updated 10 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆35Feb 14, 2023Updated 3 years ago
- A Volve-alike synthetic dataset for testing of seismic processing and imaging algorithms☆16Apr 15, 2024Updated 2 years ago
- pandoc-like tool for symbolic regression expressions☆15Mar 10, 2024Updated 2 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆60Aug 14, 2025Updated 10 months ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆547Apr 22, 2025Updated last year