Gaussian processes in TensorFlow

Machine learning algorithms for many-body quantum systems

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

Implementation of Markov Chain Monte Carlo in Python from scratch

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:

Statistical Rethinking (2nd ed.) with NumPyro

CmdStanR: the R interface to CmdStan

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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

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

DGMs for NLP. A roadmap.

R package for statistical inference using partially observed Markov processes

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

Manifold Markov chain Monte Carlo methods in Python

Diffusive Nested Sampling

High-performance Bayesian Data Analysis on the GPU in Clojure

Generalised Bayesian inversion framework

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

Bayesian Inference of State Space Models