TuringLang/DynamicPPL.jl

Bayesian inference with probabilistic programming.

A simple probabilistic programming language.

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

Deep universal probabilistic programming with Python and PyTorch

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

Documentation and tutorials for the Turing language

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

Implementation of normalising flows and constrained random variable transformations