TuringLang/JuliaBUGS.jl

Bayesian inference with probabilistic programming.

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

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

A Bayesian Analysis Toolkit in Julia

Exploratory analysis of Bayesian models with Julia

Bayesian Modeling and Probabilistic Programming in Python

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

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

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.