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Soss is a library for probabilistic programming. Soss and DynamicPPL are both maturing and becoming more complete, so the above will change over time. It's also worth noting that we (the Turing team and I) hope to move toward a natural way of using these systems together to arrive at the best of both.
Features
- In Soss, models are first class
- Soss has been updated to use MeasureTheory.jl, though everything from Distributions.jl is still available
- Soss allows model transformations
- Most of the focus of Soss is at the syntactic level; inference works in terms of "primitives" that transform the model's abstract syntax tree (AST) to new code
- Soss can evaluate log-densities symbolically
- The Soss team is much smaller than that of DynamicPPL
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Data VisualizationLicense
MIT LicenseFollow Soss
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