TuringLang/Turing.jl: v0.24.0

Description

Turing.jl is a Julia library for general-purpose probabilistic programming. Turing allows the user to write models using standard Julia syntax, and provides a wide range of sampling-based inference methods for solving problems across probabilistic machine learning, Bayesian statistics, and data science. Compared to other probabilistic programming languages, Turing has a special focus on modularity, and decouples the modelling language (i.e. the compiler) and inference methods. This modular design, together with the use of a high-level numerical language Julia, makes Turing particularly extensible: new model families and inference methods can be easily added. Current features include: General-purpose probabilistic programming with an intuitive modelling interface Robust, efficient Hamiltonian Monte Carlo (HMC) sampling for differentiable posterior distributions Particle MCMC sampling for complex posterior distributions involving discrete variables and stochastic control flows Compositional inference via Gibbs sampling that combines particle MCMC, HMC, Random-Walk MH (RWMH) and Elliptical Slice Sampling Advanced variational inference based on ADVI and Normalising Flows Getting Started Turing's home page, with links to everything you'll need to use Turing is: https://turing.ml/dev/docs/using-turing/get-started Full description in GitHub: https://github.com/TuringLang/Turing.jl/tree/v0.24.0 The title and description of this software/code correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
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Year of publication

2022

Type of data

Authors

Department of Computer Science

Adam Scibior - Creator

Andreas Noack - Creator

Arthur Lui - Creator

Cameron Pfiffer - Creator

David Widmann - Creator

Dilum Aluthge - Creator

Emile Mathieu - Creator

Emma Smith - Creator

Hao Zhang - Creator

Harrison Wilde - Creator

Hessam Mehr - Creator

Hong Ge - Creator

Jonathan D. Trattner - Creator

Kai Xu - Creator

Killian Q. Zhuo - Creator

Kyurae Kim - Creator

Ludger Paehler - Creator

Martin Trapp Orcid -palvelun logo - Creator

Miles Lucas - Creator

Mohamed Tarek - Creator

Peifan Wu - Creator

Philipp Gabler - Creator

Phillip Alday - Creator

Pietro Monticone - Creator

Ramon Diaz-Uriarte - Creator

Rik Huijzer - Creator

Saranjeet Kaur - Creator

Tom Röschinger - Creator

Tor Erlend Fjelde - Creator

Will Tebbutt - Creator

Xianda Sun - Creator

Brown University - Contributor

Max Planck Institute for Astronomy - Contributor

Technical University of Munich - Contributor

Universidad Autónoma de Madrid - Contributor

University Medical Center Groningen - Contributor

University of British Columbia - Contributor

University of Cambridge - Contributor

University of Glasgow - Contributor

University of Pennsylvania - Contributor

Uppsala University - Contributor

Zenodo - Publisher

Project

Other information

Fields of science

Computer and information sciences

Language

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

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