Bayesian inference with probabilistic programming
What is Turing.jl?
Turing.jl is a Julia library for general-purpose probabilistic programming.
Expressive
Turing models are easy to write and communicate, with syntax that is close to the mathematical specification of the model.
General-purpose
Turing supports models with discrete parameters and stochastic control flow.
Composable
Turing is written entirely in Julia, and is interoperable with its powerful ecosystem.
Start Your Journey
Whether youβre new to Bayesian modeling or an experienced researcher, find the resources you need.
New to Turing?
Begin with the basics. Our step-by-step tutorials will guide you from installation to your first probabilistic models.
For Researchers
Dive into advanced models, explore the rich package ecosystem, and learn how to cite Turing.jl in your work.
For Developers
Join our community, contribute to the project on GitHub, and connect with fellow developers on Slack.
Core Packages
The Turing ecosystem is built on a foundation of powerful, composable packages.
DynamicPPL.jl
A domain-specific language and backend for probabilistic programming languages, used by Turing.jl.
JuliaBUGS.jl
A modern implementation of the BUGS probabilistic programming language in Julia.
TuringGLM.jl
Bayesian Generalized Linear models using @formula syntax and returns an instantiated Turing model.
AdvancedHMC.jl
A robust, modular and efficient implementation of advanced HMC algorithms. (abs, pdf)
News & Updates
Read the latest from the Turing team.
Turing.jl Newsletter 10
The fortnightly newsletter for the Turing.jl probabilistic programming language
Turing.jl Newsletter 9
The fortnightly newsletter for the Turing.jl probabilistic programming language
Google Summer of Code 2022
It is another year of the Google Summer of Code time, and we have compiled an updated list of exciting Turing projects! Projects that the Turing team would be interested in working with students on over the summer are listed below. This information is also cross-posted at Julia's Turing project page.
Replication study: Estimating number of infections and impact of NPIs on COVID-19 in European countries (Imperial Report 13)
The Turing.jl team is currently exploring possibilities in an attempt to help with the ongoing SARS-CoV-2 crisis. As preparation for this and to get our feet wet, we decided to perform a replication study of the Imperial Report 13...
Turing's Blog
All good open source projects should have a blog, and Turing is one such project. Later on, members of the Turing team may be populating this feed with posts...
Featured Tutorials
A selection of tutorials to get you started.
Get Started with Turing.jl
Our step-by-step tutorials will guide you from installation to your first probabilistic models.
Introduction: Coin Flipping
Learn the basic concepts of Bayesian modeling by working through a simple coin-flipping example.
Core Functionality
This article provides an overview of the core functionality in Turing.jl, which are likely to be used across a wide range of models.
Turing.jl is an MIT Licensed Open Source Project
If you use Turing.jl in your research, please consider citing our papers.