Chad Scherrer

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

dslcompile. Rust

TupleVectors.jl. Julia

measures. Rust

NestedTuples.jl. Julia

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

TaglessTrees.jl. Julia

SymbolicCodegen.jl. Julia

MultivariateMeasures.jl. Optimized implementations for higher-dimensional measures

MeasureInterface.jl. Julia

SossBase.jl. Julia

MaskArrays.jl. Julia

Interpret.jl. A very simple Julia interpreter using MLStyle.jl

SossGen.jl. Julia

SampleChainsDynamicHMC.jl. Julia

TypelevelExprs.jl. Julia

bayes-linreg. Rust

QuasiMonteCarlo.jl. Julia

PermutedArrays.jl. Julia

ConstantRNGs.jl. A constant RNG, for cases when you need high efficiency and don't care about randomness

Effectful.jl. Julia

Soss-probprog. TeX

SampleChains.jl. Julia

SampleChainsAbstractMCMC.jl. Julia

InformativePrior. CSS

nutsinjulia. A No-U-Turn Sampler (NUTS) Implementation in Julia

Permutations.jl. Permutations class for Julia.

SampleChainsWeighted.jl. Julia

TransitionalMCMC.jl. Implementation of Transitional Markov Chain Monte Carlo (TMCMC) in Julia.

TypeReconstructable.jl. Julia

GG.jl. Generalised generated funcs! To allow closures in generated funcs and avoid the use of eval and invoklatest!

SampleChainsContinuous.jl. Julia

ExponentialFamilies.jl. Julia