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ArviZ
190 posts
ArviZ
@arviz_devs
Twitter account for the ArviZ project Mastodon: @[email protected] BlueSky: @arviz.bsky.social
Somewhere in the typical set Katılım Eylül 2018
33 Takip Edilen1.4K Takipçiler
ArviZ retweetledi
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 #reloo-for-turing-models-julia" target="_blank" rel="nofollow noopener">github.com/arviz-devs/arv…) #GSoC
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ArviZ retweetledi
Interested in working with me on some useful Bayesian analysis tooling in Julia for GSoC? See the projects here, and apply!
ArviZ@arviz_devs
ArviZ is participating in Google Summer of Code 2024 under the @NumFOCUS umbrella! We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! github.com/arviz-devs/arv… @JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian
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ArviZ retweetledi
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!
ArviZ@arviz_devs
ArviZ is participating in Google Summer of Code 2024 under the @NumFOCUS umbrella! We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! github.com/arviz-devs/arv… @JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian
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ArviZ is participating in Google Summer of Code 2024 under the @NumFOCUS umbrella! We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! github.com/arviz-devs/arv… @JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian
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We've put together a survey forms.gle/Wor6iHnp4Ebdg6… to gather feedback and insights from our users on a potential dashboard feature for Python ArviZ. Your input would be greatly valued!
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ArviZ retweetledi
Hello everyone! We've put together a survey forms.gle/Wor6iHnp4Ebdg6… 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!
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ArviZ retweetledi
@arviz_devs @JuliaLanguage @TuringLang Next up: porting Python ArviZ's library of plotting functions for Plots.jl and @MakiePlots. Contributions encouraged!!
python.arviz.org/en/stable/exam…
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ArviZ retweetledi
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
discourse.julialang.org/t/arviz-v0-10-…
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ArviZ retweetledi
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.
arviz.org/en/latest/
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ArviZ retweetledi
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.
discourse.julialang.org/t/arviz-v0-10-…
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ArviZ retweetledi
We are revamping our plotting module to allow for better composability and extensibility. Do you want to help? Please get in touch.
ArviZ@arviz_devs
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.
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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.
ArviZ@arviz_devs
ArviZ is participating in Google Summer of Code 2023 under the @NumFOCUS umbrella. We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! github.com/arviz-devs/arv… @JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian
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ArviZ retweetledi
@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!
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ArviZ retweetledi
@arviz_devs python package is released v0.15.1
Lots of great work from great people. Be sure to update your environments
github.com/arviz-devs/arv…
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ArviZ retweetledi
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.
twitter.com/arviz_devs/sta…
ArviZ@arviz_devs
ArviZ is participating in Google Summer of Code 2023 under the @NumFOCUS umbrella. We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! github.com/arviz-devs/arv… @JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian
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ArviZ is participating in Google Summer of Code 2023 under the @NumFOCUS umbrella. We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! github.com/arviz-devs/arv…
@JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian
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ArviZ retweetledi
. @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 ->
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ArviZ retweetledi
PyMC, ArviZ, and many other projects will be participating. Check PyMC's projects github.com/pymc-devs/pymc… and ArviZ's projects github.com/arviz-devs/arv…
Mridul Seth@Mridul_Seth
. @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 ->
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ArviZ retweetledi
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...
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