Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
☆389Dec 20, 2017Updated 8 years ago
Alternatives and similar repositories for MCMC
Users that are interested in MCMC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Collection of probabilistic models and inference algorithms☆240Apr 3, 2020Updated 6 years ago
- Implementation of Markov Chain Monte Carlo in Python from scratch☆231Aug 20, 2020Updated 6 years ago
- Manifold Markov chain Monte Carlo methods in Python☆238Jul 20, 2026Updated 2 months ago
- Interactive Markov-chain Monte Carlo Javascript demos☆941Aug 28, 2026Updated last month
- Introductory notes on MCMC☆13Apr 23, 2012Updated 14 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.
- Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression☆11Feb 25, 2018Updated 8 years ago
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆15Jul 25, 2023Updated 3 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆162Feb 25, 2020Updated 6 years ago
- Fortran library for MCMC calculations☆18Aug 22, 2025Updated last year
- MCMC toolbox for Matlab☆98Aug 15, 2021Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆143May 26, 2019Updated 7 years ago
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- Image Markov Chain Monte Carlo☆247Apr 13, 2026Updated 6 months ago
- Colab notebooks for d2l-book☆11Dec 5, 2019Updated 6 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.
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,491Mar 24, 2024Updated 2 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Dec 7, 2016Updated 9 years ago
- Slides and code used in the lectures☆12Aug 12, 2019Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Learning with operator-valued kernels☆22Jan 31, 2023Updated 3 years ago
- ☆15Oct 18, 2021Updated 5 years ago
- NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)☆12Jul 22, 2018Updated 8 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆2,014Jun 24, 2025Updated last year
- 数学基础☆13Feb 8, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆28Oct 9, 2017Updated 9 years ago
- Efficient two-dimensional teleseismic wavefield hybrid simulation method for receiver function analysis☆23May 7, 2026Updated 5 months ago
- Simple tools for statistical analyses in RL experiments☆67Sep 25, 2026Updated 3 weeks ago
- Unbiased MCMC with couplings☆20Sep 19, 2019Updated 7 years ago
- Use Bayesian Global Optimization to solve inverse problems☆13Jul 20, 2015Updated 11 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆39Feb 19, 2022Updated 4 years ago
- Sequential Monte Carlo in python☆510Sep 24, 2026Updated 3 weeks ago
- ☆19May 11, 2017Updated 9 years ago
- The Python ensemble sampling toolkit for affine-invariant MCMC☆1,603Updated this week
- 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.
- Deep universal probabilistic programming with Python and PyTorch☆9,065Oct 5, 2026Updated last week
- Bayesian Modeling and Probabilistic Programming in Python☆9,810Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated 2 years ago
- For training very deep networks☆10Jun 12, 2017Updated 9 years ago
- A stand-alone object oriented Python code to model a fiber beam-column reinforced concrete under seismic loading☆12Dec 13, 2019Updated 6 years ago
- R package mcmc (public version on CRAN)☆20Aug 7, 2024Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago