We're writing a grant proposal that would allow us to fund a few bodies to work on Turing + relevant research for the next few years. If you have any "success-stories" / cases where Turing has been useful for you that we can share in the proposal, please let us know by Friday!.

And projects are not fixed, so feel free to reach out to @torfjelde or Xianda Sun (contact info at if you have any other aspects of Turing.jl that you would like to work on. The application deadline is April 2nd (1 week), so don't wait! #GSoC.

Benchmarking targets for MCMC samplers: Develop a comprehensive collection of target distributions to study and benchmark MCMC samplers in various computational environments, extending the capabilities of VecTargets.jl. #GSoC.

Batched support for NormalizingFlows.jl and Bijectors.jl: Introduce a batched mode to NormalizingFlows.jl and Bijectors.jl, allowing users to provide multiple inputs simultaneously for better performance and usability. #GSoC.

GPU support for NormalizingFlows.jl and Bijectors.jl: Help us bring GPU compatibility to NormalizingFlows.jl and Bijectors.jl, enabling faster training and inference for normalizing flows. #GSoC.

Improving MCMC inference integration: We want to continue enhancing the integration between Turing.jl and its MCMC inference packages. This project aims to create a seamless interface for interoperability between samplers. #GSoC.

Develop a programming language-agnostic API for resampling-based cross-validation to enhance model comparison in Julia's Turing models, incorporating a new reloo function into PosteriorStats.jl. (collab with @sethaxen @arviz_devs, see #GSoC.

Implementing models from PosteriorDB in Turing.jl: collab with @sethaxen, we want to implement Bayesian models from PosteriorDB in Turing.jl. This project will showcase best practices and enable performance comparisons. #GSoC.

We are excited to announce that Turing.jl is participating in Google Summer of Code 2024 under @JuliaLanguage organization. Check out the projects at and in 🧵. Contributors will be able to interact with the Alan Turing Institute @turinginst. #GSoC.

RT @cameron_pfiffer: @TuringLang and the @turinginst are hiring two postdocs to work on Turing.jl stuff!. Check out the job ad:. https://t.….

RT @matvil: Gave a lecture at CEDAS-NORBIS summer school in Bergen, Norway, the rainest city in Europe. My usual toy example for Bayesian d….

RT @cameron_pfiffer: @TuringLang and the Cambridge Machine Learning Group are seeking a paid part-time research assistant to work on Enzyme….

RT @sethaxen: ArviZ.jl is now a pure Julia meta-package for Bayesian analysis! This makes it much easier to install, integrate smoothly wit….

RT @cameron_pfiffer: Also related -- Turing.jl has tensorboard support, which is very easy to use.

RT @cameron_pfiffer: Being at Stancon is making me appreciate how great @TuringLang is.

RT @arviz_devs: Reminder: just over a week left to apply for Google Summer of Code with ArviZ! We have exciting projects for improving the….

Turing is now also on Mastodon! Follow for more updates:

Also be sure to check out @arviz_devs's #JuliaLang GSOC projects! There's one that explicitly crosses over between ArviZ and Turing, but Turing users would benefit from all of them.

Turing is participating in Google summer of code under the @JuliaLanguage umbrella. Check out the projects at and let us know if you're interested in any of them. @GoogleOSS #GSOC #JSOC #JuliaLang.

Jose Storopoli and @torfjelde gave a 4x90 min lecture on #Turing.jl and #probabilistic #programming at the 23rd Geilo Winter School on #Computational #Statistics in Geilo, Norway. 🔗 material: