markov-chain-monte-carlo

netket/netket

Machine learning algorithms for many-body quantum systems

fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

FranxYao/Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

uncomplicate/bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

wiseodd/MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

choderalab/openmmtools

A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.

NBISweden/MrBayes

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

matt-graham/mici

Manifold Markov chain Monte Carlo methods in Python

Joseph94m/MCMC

Implementation of Markov Chain Monte Carlo in Python from scratch

kthohr/mcmc

A C++ library of Markov Chain Monte Carlo (MCMC) methods

stan-dev/cmdstanr

CmdStanR: the R interface to CmdStan

ermongroup/a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

kingaa/pomp

R package for statistical inference using partially observed Markov processes

mschauer/ZigZagBoomerang.jl

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

prmiles/pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

eggplantbren/DNest4

Diffusive Nested Sampling

eigenfoo/littlemcmc

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

helske/bssm

Bayesian Inference of State Space Models

PauloCarvalhoRJ/gammaray

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.

MFreidank/pysgmcmc

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

alan-turing-institute/PDSampler.jl

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

madsjulia/AffineInvariantMCMC.jl

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

MultiBUGS/MultiBUGS

Multi-core BUGS for fast Bayesian inference of large hierarchical models

florent-leclercq/Bayes_InfoTheory

Lectures on Bayesian statistics and information theory

MikeS96/bayes_statististics

Bayesian Statistics MOOC by Coursera - Solutions in Python

avehtari/rhat_ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

UBC-Stat-ML/blangSDK

Blang's software development kit

zang-langyan/Markov-Chain-Monte-Carlo-MCMC

Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)

arm61/uravu

A straightforward Bayesian data fitting library

zhaonat/cluster_monte_carlo

Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model

larsgeb/hmclab

wlandau/instantiate

Pre-compiled CmdStan models in R packages

mukeshramancha/transitional-mcmc

This repo contains the code of Transitional Markov chain Monte Carlo algorithm

hanyas/mimo

A toolbox for inference of mixture models