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- Implementation of domain-specific language (DSL) for dynamic probabilistic programming
- Bayesian inference with probabilistic programming.
- Implementation of normalising flows and constrained random variable transformations
MCMCDiagnosticTools.jl
PublicFunctionality for diagnosing samples generated using Markov Chain Monte Carlo.AdvancedHMC.jl
PublicRobust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
MCMCChains.jl
PublicTypes and utility functions for summarizing Markov chain Monte Carlo simulationsJuliaBUGS.jl
PublicA domain specific language (DSL) for probabilistic graphical modelsSliceSampling.jl
PublicSSMProblems.jl
PublicParetoSmooth.jl
PublicAdvancedVI.jl
PublicLibtask.jl
PublicResumable and copyable functions a.k.a. coroutines for Julia, with optional function-specific globals.ADTests
PublicTuring-Workshop
PublicTuringGLM.jl
PublicBayesian Generalized Linear models using `@formula` syntax.turinglang.github.io
Publicdocs
PublicDocumentation and tutorials for the Turing languageactions
Public- Julia implementation of elliptical slice sampling.
AbstractMCMC.jl
PublicNormalizingFlows.jl
Public.github
PublicAdvancedMH.jl
PublicRobust implementation for random-walk Metropolis-Hastings algorithmsAbstractChains.jl
PublicDistributionsAD.jl
PublicAutomatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiffDeprecated
Publicdesign_notes
Public