Probabilistic Programming Packages
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DynamicPPL.jl157Implementation of domain-specific language (DSL) for dynamic probabilistic programming
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Turing.jl2026Bayesian inference with probabilistic programming.
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RxInfer.jl260Julia package for automated Bayesian inference on a factor graph with reactive message passing
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MeasureTheory.jl386"Distributions" that might not add to one.
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DynamicHMC.jl243Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
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Gen.jl1791A general-purpose probabilistic programming system with programmable inference
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Stheno.jl339Probabilistic Programming with Gaussian processes in Julia
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BridgeStan.jl88BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
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AdvancedHMC.jl228Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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Stan.jl211Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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BAT.jl198A Bayesian Analysis Toolkit in Julia
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Soss.jl414Probabilistic programming via source rewriting
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Omega.jl162Causal, Higher-Order, Probabilistic Programming
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ProbabilisticCircuits.jl105Probabilistic Circuits from the Juice library
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Tilde.jl75WIP successor to Soss.jl
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Jaynes.jl45E.T. Jaynes home phone.
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