bat/BAT.jl

Bayesian inference with probabilistic programming.

Exploratory analysis of Bayesian models with Python

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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