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abstractmcmc.jl

Abstract types and interfaces for Markov chain Monte Carlo methods

abstractppl.jl

Common types and interfaces for probabilistic programming

advancedhmc.jl

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

advancedmh.jl

Robust implementation for random-walk Metropolis-Hastings algorithms

advancedps.jl

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

advancedvi.jl

Implementation of variational Bayes inference algorithms

bijectors.jl

Implementation of normalising flows and constrained random variable transformations

coupledhmc.jl

distributionsad.jl

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

dynamicppl.jl

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

ellipticalslicesampling.jl

Julia implementation of elliptical slice sampling.

irtracker.jl

Dynamically track IR as a graph, using source transformations

juliabugs.jl

Implementation of domain specific language (DSL) for probabilistic graphical models

libtask.jl

Tape based task copying in Turing

mcmcchains.jl

Types and utility functions for summarizing Markov chain Monte Carlo simulations

mcmcdebugging.jl

MCMCDebugging.jl: debugging utilities for MCMC samplers

mcmcdiagnostictools.jl

mcmctempering.jl

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities

nestedsamplers.jl

Implementations of single and multi-ellipsoid nested sampling

normalizingflows.jl

paretosmooth.jl

An implementation of PSIS algorithms in Julia.

ssmproblems.jl

Common abstractions for state-space models

turing-logo-graphics

turing-workshop

Turing Workshop

turing.jl

Bayesian inference with probabilistic programming.

turingbenchmarking.jl

turingcallbacks.jl

turingexamples

A Bayesian zoo

turingglm.jl

Bayesian Generalized Linear models using `@formula` syntax.