Turing.jl: The Turing language for probabilistic programming

Turing.jl is a Julia library for (universal) probabilistic programming. Turing allows the user to write models in standard Julia syntax, and provide a wide range of sampling-based inference methods for solving problems across probabilistic machine learning, Bayesian statistics and data science etc. Since Turing is implemented in pure Julia code, its compiler and inference methods are amendable for hacking: new model families and inference methods can be easily added.

Website: https://turing.ml

Speaker

Kai Xu - PhD student at the University of Edinburgh.

About us

C.A.J.U.N is dedicated to users and developers of the Julia language. Please see our Papercall https://www.papercall.io/cajun and submit your talk ideas for future events!