Chad Scherrer

Probabilistic programming via source rewriting

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WIP successor to Soss.jl

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A Julia implementation of Bayesian linear regression using marginal likelihood for hyperparameter optimization, as presented in Chris Bishop's book.

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KeywordCalls makes it easy to define a method taking a NamedTuple considered as a an unordered collection of bound variables. The required redirection is done at compile time, so there's no runtime ov...

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Passage is a PArallel SAmpler GEnerator. The user specifies a hierarchical Bayesian model and data using the Passage EDSL, and Passage generates code to sample the posterior distribution in parallel.

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SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

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