Turing (https://bayes.club/@TuringLang)

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Turing (https://bayes.club/@TuringLang)

Turing (https://bayes.club/@TuringLang)

@TuringLang

Bayesian inference with probabilistic programming. #TuringLang #JuliaLang

Cambridge, England Katılım Ağustos 2019
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Turing (https://bayes.club/@TuringLang)
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!
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Turing (https://bayes.club/@TuringLang)
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
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Turing (https://bayes.club/@TuringLang)
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!
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Turing (https://bayes.club/@TuringLang) retweetledi
Mattias Villani
Mattias Villani@matvil·
Gave a lecture at CEDAS-NORBIS summer school in Bergen, Norway, the rainest city in Europe. My usual toy example for Bayesian decision theory felt a bit awkward. Slides and Turing.jl code here: github.com/mattiasvillani…
Mattias Villani tweet media
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Cameron
Cameron@cameron_pfiffer·
@TuringLang and the Cambridge Machine Learning Group are seeking a paid part-time research assistant to work on Enzyme integration. This PR has some more details: github.com/TuringLang/Tur… Reach out to me or @Hong_Ge2 for more info. I'm at cameron@pfiffer.org.
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Turing (https://bayes.club/@TuringLang)
@CatchTwentyToo In this example neither @mcmc_stan nor Turing needs a manual Jacobian adjustment. Both PPLs transparently unconstrain parameters for sampling with HMC. Like in Stan, you can manually adjust the log probability in Turing. See #update-the-accumulated-log-probability-in-the-model-definition" target="_blank" rel="nofollow noopener">turinglang.org/v0.26/docs/usi…
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Dr Kristian Brock
Dr Kristian Brock@CatchTwentyToo·
E.g. in Stan, if I want to specify: pi ~ Beta(5, 5) alpha = logit(pi) beta ~ Normal(0, 1) v = logistic(alpha + beta * x) y ~ Bernoulli(v) ...I'd have to apply a Jacobian adjustment to target, but that doesn't seem necessary in Turing..right?
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Dr Kristian Brock
Dr Kristian Brock@CatchTwentyToo·
Hey @TuringLang , I just recently discovered Turing and it looks fantastic. Turing appears to handle changes of variable seemlessly, is that right?
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Cameron
Cameron@cameron_pfiffer·
Also related -- Turing.jl has tensorboard support, which is very easy to use. turinglang.org/TuringCallback…
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Cameron
Cameron@cameron_pfiffer·
Being at Stancon is making me appreciate how great @TuringLang is
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ArviZ
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.
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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Turing (https://bayes.club/@TuringLang)
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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