Turing.jl is a Julia library for (universal) probabilistic programming. Current features include:
Turing's home page, with links to everything you'll need to use Turing is:
Turing was originally created and is now managed by Hong Ge. Current and past Turing team members include Hong Ge, Adam Scibior, Matej Balog, Zoubin Ghahramani, Kai Xu, Emma Smith, Emile Mathieu, Martin Trapp. You can see the full list of on Github: https://github.com/TuringLang/Turing.jl/graphs/contributors.
Turing is an open source project so if you feel you have some relevant skills and are interested in contributing then please do get in touch. See the Contributing page for details on the process. You can contribute by opening issues on Github or implementing things yourself and making a pull request. We would also appreciate example models written using Turing.
Join our channel (
#turing) in the Julia Slack chat for help, discussion, or general communication with the Turing team. If you do not already have an invitation to Julia's Slack, you can get one by going here.
If you use Turing for your own research, please consider citing the following publication: Hong Ge, Kai Xu, and Zoubin Ghahramani: Turing: a language for flexible probabilistic inference. AISTATS 2018 pdf bibtex
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