Gaussian processes in TensorFlow

Machine learning algorithms for many-body quantum systems

Statistical Rethinking (2nd ed.) with NumPyro

DGMs for NLP. A roadmap.

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

High-performance Bayesian Data Analysis on the GPU in Clojure

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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

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:

Manifold Markov chain Monte Carlo methods in Python

Implementation of Markov Chain Monte Carlo in Python from scratch

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

CmdStanR: the R interface to CmdStan

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

R package for statistical inference using partially observed Markov processes

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

Python implementation of MATLAB toolbox "mcmcstat"

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Diffusive Nested Sampling

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