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Turing.jl
Bayesian inference with probabilistic programming.MCMCChains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulationsAdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithmsdocs
Documentation and tutorials for the Turing languageBijectors.jl
Implementation of normalising flows and constrained random variable transformationsDynamicPPL.jl
Implementation of domain-specific language (DSL) for dynamic probabilistic programmingDistributionsAD.jl
Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiffAdvancedMH.jl
Robust implementation for random-walk Metropolis-Hastings algorithmsAbstractMCMC.jl
Abstract types and interfaces for Markov chain Monte Carlo methodsAdvancedVI.jl
Implementation of variational Bayes inference algorithmsTuringGLM.jl
Bayesian Generalized Linear models using `@formula` syntax.AdvancedPS.jl
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithmsNestedSamplers.jl
Implementations of single and multi-ellipsoid nested samplingMCMCTempering.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilitiesIRTracker.jl
Dynamically track IR as a graph, using source transformationsNormalizingFlows.jl
AbstractPPL.jl
Common types and interfaces for probabilistic programmingJuliaBUGS.jl
Implementation of domain specific language (DSL) for probabilistic graphical modelsMCMCDiagnosticTools.jl
ParetoSmooth.jl
An implementation of PSIS algorithms in Julia.Libtask.jl
Tape based task copying in TuringCoupledHMC.jl
papers
A Bayesian zooEllipticalSliceSampling.jl
Julia implementation of elliptical slice sampling.TuringCallbacks.jl
Turing-Workshop
Turing WorkshopTuringBenchmarking.jl
turinglang.github.io
website for TuringSliceSampling.jl
Slice sampling algorithms in JuliaMCMCDebugging.jl
MCMCDebugging.jl: debugging utilities for MCMC samplersTuringTutorialsOutput
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