cscherrer/MultivariateMeasures.jl

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Julia
License
MIT License
Created over 3 years ago
Updated about 3 years ago

cscherrer/MultivariateMeasures.jl

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Optimized implementations for higher-dimensional measures

Soss.jl

Probabilistic programming via source rewriting

Tilde.jl

WIP successor to Soss.jl

BayesianLinearRegression.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 language

fastbayes

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

MaskArrays.jl

Interpret.jl

A very simple Julia interpreter using MLStyle.jl

SossBase.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 randomness

bayes-linreg

Soss-probprog

InformativePrior

SampleChains.jl

SampleChainsAbstractMCMC.jl

Soss-scratchpad.jl

A place to gather ideas and examples for use is Soss.jl

SampleChainsWeighted.jl

cscherrer.github.io

Jupyter Notebook

SampleChainsContinuous.jl

ExponentialFamilies.jl

Effectful.jl