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AD does automatic differentiation, PLLs transform a generative model into some suitable form to perform automatic Bayesian inference, e.g. by using AD and black-box variational inf…

One of the arguments for python is the exceptional support of automation differentiation and GPU computing through deep learning libraries. Most python based PPLs focus on static m…

Thanks for mentioning Turing. In comparison to other PPLs in Julia, Turing is less a single probabilistic programming library and more a framework for probabilistic programming by …

I agree. Turing.jl, which is one of the major PPLs in Julia, is also based around effect handlers and does not relying on meta programming for the inference part. This allows the c…

Thank you. In addition to the docs on turning.ml, you can find a few examples for the book “Statistical Rethinking” implemented using Turing in https://github.com/StatisticalRethin…