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- Bayesian inference with probabilistic programming.
- Implementation of domain-specific language (DSL) for dynamic probabilistic programming
AbstractPPL.jl
PublicBijectors.jl
PublicImplementation of normalising flows and constrained random variable transformationsJuliaBUGS.jl
Publicdocs
PublicDocumentation and tutorials for the Turing languageAdvancedHMC.jl
PublicRobust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithmsactions
PublicDistributionsAD.jl
PublicAutomatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiffAbstractMCMC.jl
PublicSliceSampling.jl
PublicAdvancedMH.jl
PublicRobust implementation for random-walk Metropolis-Hastings algorithmsturinglang.github.io
PublicSSMProblems.jl
PublicTuringGLM.jl
PublicBayesian Generalized Linear models using `@formula` syntax.TuringCallbacks.jl
PublicLibtask.jl
PublicTape based task copying in TuringMCMCTempering.jl
PublicImplementations of parallel tempering algorithms to augment samplers with tempering capabilitiesParetoSmooth.jl
PublicAdvancedPS.jl
PublicImplementation of advanced Sequential Monte Carlo and particle MCMC algorithmsMCMCChains.jl
PublicTypes and utility functions for summarizing Markov chain Monte Carlo simulations- Julia implementation of elliptical slice sampling.
MCMCDiagnosticTools.jl
PublicNestedSamplers.jl
PublicImplementations of single and multi-ellipsoid nested sampling.github
PublicTuring-Workshop
Public