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 https://t.co/dDqB1xffB6) #GSoC
Join us for #GSoC2024 and dive into exciting projects for improving cutting-edge Bayesian tools. Great opportunity to contribute to open source and make a real impact!
We've put together a survey https://t.co/Xp7bx8dghq to gather feedback and insights from our users on a potential dashboard feature for Python ArviZ. Your input would be greatly valued!
Hello everyone! We've put together a survey https://t.co/2HKcySbiYS to gather feedback and insights from @arviz_devs users. Specifically, we're interested to understand your thoughts on a potential dashboard feature for ArviZ. Your input would be greatly valued!
ArviZ.jl is now a pure Julia meta-package for Bayesian analysis! This makes it much easier to install, integrate smoothly with the whole ecosystem, and easily extended. Check out the announcement! @arviz_devs@JuliaLanguage@TuringLang
https://t.co/PbXUnzMUPZ
Check out the ArviZ project website for more info. It's really been amazing to watch it grow, and I think the whole Bayes community is going to be well served by them going forward.
https://t.co/OIIm7Fo67r
Really cool announcement from @sethaxen, who's been doing a lot of work in Julia to support @arviz_devs. Arviz is tooling for general-purpose exploration of Bayes models.
Headline -- Arviz.jl is now all Julia! No Python wrappers.
https://t.co/Bzj6eRPbbd
Reminder: just over a week left to apply for Google Summer of Code with ArviZ! We have exciting projects for improving the Bayesian modeling workflow in both #Python and @JuliaLanguage.
@pymc_devs and @arviz_devs have been upgraded in @GoogleColab
You'll see the updated default environment roll out in the next couple of days.
Huge thanks to all the teams in all projects for making Bayesian workflows so easy!
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.
https://t.co/7jGPfTkxHS
. @NumFOCUS will be participating in Google Summer of Code 2023 (@GoogleOSS) again this year (9th summer!).
Interested in working on the tools in the @PyData, @JuliaLanguage ecosystem (with a sweet stipend)?
Look at various great projects under the @NumFOCUS umbrella ->
The @arviz_devs library has such a thoughtful interface! I just tried haphazardly to pass a list with two InferenceData objects (or rather two different groups) to plot_density, and it works. Then found in the equally thoughtful doc just the right arguments to adjust the style...