markov-chain-monte-carlo
There are 217 repositories under markov-chain-monte-carlo topic.
GPflow/GPflow
Gaussian processes in TensorFlow
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
dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
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, ...)
MultiBUGS/MultiBUGS
Multi-core BUGS for fast Bayesian inference of large hierarchical models
madsjulia/AffineInvariantMCMC.jl
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
avehtari/rhat_ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
florent-leclercq/Bayes_InfoTheory
Lectures on Bayesian statistics and information theory
MikeS96/bayes_statististics
Bayesian Statistics MOOC by Coursera - Solutions in Python
arm61/uravu
A straightforward Bayesian data fitting library
zang-langyan/Markov-Chain-Monte-Carlo-MCMC
Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
zhaonat/cluster_monte_carlo
Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
UBC-Stat-ML/blangSDK
Blang's software development kit
wlandau/instantiate
Pre-compiled CmdStan models in R packages
mukeshramancha/transitional-mcmc
This repo contains the code of Transitional Markov chain Monte Carlo algorithm