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  1. Probabilistic programming via source rewriting

    Julia 181 14

  2. 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.

    Haskell 19 2

  3. A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).

    Haskell 10 2

1,434 contributions in the last year

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Contribution activity

September 2020

Created a pull request in cscherrer/Soss.jl that received 3 comments

Properly qualify `rand` and `logpdf`

+18 −19 3 comments

Created an issue in cscherrer/Soss.jl that received 1 comment

Performance for Large Models

@DilumAluthge suggested in #161 that we add a Bayesian neural net example. There's a lot we'll need to do to get good performance here. Let's have …

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9 contributions in private repositories Sep 1 – Sep 3

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