mcmc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Bayesian inference with probabilistic programming.

The Python ensemble sampling toolkit for affine-invariant MCMC

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Bayesian Data Analysis demos for Python

RStan, the R interface to Stan

Boltzmann Machines in TensorFlow with examples

Bitmap generation from a single example with convolutions and MCMC

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Bayesian Data Analysis demos for R

High-performance Bayesian Data Analysis on the GPU in Clojure

bayesplot R package for plotting Bayesian models

DGMs for NLP. A roadmap.

Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

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

Collection of probabilistic models and inference algorithms

A repository to keep track of all the code that I end up writing for my blog posts.

shinystan R package and ShinyStan GUI

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Manifold Markov chain Monte Carlo methods in Python

Bayesian Evolutionary Analysis by Sampling Trees

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Fast & scalable MCMC for all your exoplanet needs!

Bayesian Evolutionary Analysis Sampling Trees

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

GPstuff - Gaussian process models for Bayesian analysis

Implementation of Markov Chain Monte Carlo in Python from scratch

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

PhyML -- Phylogenetic estimation using (Maximum) Likelihood