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Soss.jl
Probabilistic programming via source rewritingTilde.jl
WIP successor to Soss.jlBayesianLinearRegression.jl
A Julia implementation of Bayesian linear regression using marginal likelihood for hyperparameter optimization, as presented in Chris Bishop's book.KeywordCalls.jl
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 overhead.passage
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.SossMLJ.jl
SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming languagefastbayes
A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).TupleVectors.jl
NestedTuples.jl
TaglessTrees.jl
MeasureInterface.jl
SymbolicCodegen.jl
MultivariateMeasures.jl
Optimized implementations for higher-dimensional measuresMaskArrays.jl
Interpret.jl
A very simple Julia interpreter using MLStyle.jlSossBase.jl
SossGen.jl
SampleChainsDynamicHMC.jl
TypelevelExprs.jl
PermutedArrays.jl
QuasiMonteCarlo.jl
ConstantRNGs.jl
A constant RNG, for cases when you need high efficiency and don't care about randomnessbayes-linreg
Soss-probprog
InformativePrior
SampleChains.jl
SampleChainsAbstractMCMC.jl
Soss-scratchpad.jl
A place to gather ideas and examples for use is Soss.jlSampleChainsWeighted.jl
cscherrer.github.io
SampleChainsContinuous.jl
Effectful.jl
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