Statistical Rethinking: A Bayesian Course Using R and Stan (github.com)

Dr. Kurz wrote a really great companion that uses brms, a fantastic wrapper that makes stan easier to pickup. I highly recommend it. https://bookdown.org/ajkurz/Statistical_Rethinking_recoded/

pymc3 version here: https://github.com/pymc-devs/resources/tree/master/Rethinkin...

Julia version here: https://github.com/StatisticalRethinkingJulia/StatisticalRet...

with implementations in CmdStan (calling Stan from Julia), Turing, Mamba, and DynamicHMC (which requires hand-coding the log-density function of posterior).

I’ve worked through the print book version of this twice and it is absolutely brilliant. Highly recommend the book. Looks like some draft chapters of the second edition are freely available, but the first edition was already fantastic.

The most recent round of lectures for this course are excellent. You can find them here: https://www.youtube.com/playlist?list=PLDcUM9US4XdNM4Edgs7we...

I'm happy something talking about Statistical Rethinking has finally made it to the front page. I've tried and bounced a few times to raise awareness of this awesome course.

does anyone know if there's a pyro or tf probability version somewhere?

This one here is by far the best intro to Bayesian methods I've found: https://www.youtube.com/watch?v=3OJEae7Qb_o&t=6s

Very accessible