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---
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title: "Turing Library API"
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title: "Turing Libraries"
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## Modelling Languages
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- [DynamicPPL.jl](https://turinglang.org/DynamicPPL.jl/): A domain-specific language and backend for probabilistic programming languages, used by Turing.jl.
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- [DynamicPPL.jl](https://turinglang.org/DynamicPPL.jl/): A domain-specific language and backend for probabilistic programming languages used by Turing.jl.
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- [JuliaBUGS.jl](https://turinglang.org/JuliaBUGS.jl/): JuliaBUGS is a graph-based probabilistic programming language and a component of the Turing ecosystem.
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- [TuringGLM.jl](https://turinglang.org/TuringGLM.jl/): A Julia package for Bayesian generalized linear models used for returning an instantiated Turing model using the formula syntax
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- [TuringGLM.jl](https://turinglang.org/TuringGLM.jl/): A Julia package for Bayesian generalised linear models used for returning an instantiated Turing model using the formula syntax
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## Markov chain Monte Carlo (MCMC)
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- [ThermodynamicIntegration.jl](https://github.com/theogf/ThermodynamicIntegration.jl): A simple package to compute Thermodynamic Integration for computing the evidence in a Bayesian setting.
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- [AdvancedPS.jl](https://turinglang.org/AdvancedPS.jl/): This is a lightweight package that implements particle based Monte Carlo algorithms for the [Turing](https://turinglang.org/) ecosystem.
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- [AdvancedPS.jl](https://turinglang.org/AdvancedPS.jl/): This is a lightweight package that implements particle-based Monte Carlo algorithms for the [Turing](https://turinglang.org/) ecosystem.
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- [EllipticalSliceSampling.jl](https://turinglang.org/EllipticalSliceSampling.jl/): This package implements elliptical slice sampling in the Julia language, as described in [Murray, Adams & MacKay (2010)](http://proceedings.mlr.press/v9/murray10a/murray10a.pdf).
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- [NestedSamplers.jl](https://turinglang.org/NestedSamplers.jl/): A Julian implementation of single- and multi-ellipsoidal nested sampling algorithms using the [AbstractMCMC](https://github.com/turinglang/abstractmcmc.jl) interface.
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## Diagnostics
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- [MCMCChains.jl](https://turinglang.org/MCMCChains.jl/): Implementation of Julia types for summarizing MCMC simulations and utility functions for [diagnostics](https://turinglang.org/MCMCChains.jl/stable/diagnostics/#Diagnostics) and [visualizations](https://turinglang.org/MCMCChains.jl/stable/statsplots/#StatsPlots.jl).
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- [MCMCChains.jl](https://turinglang.org/MCMCChains.jl/): Implementation of Julia types for summarising MCMC simulations and utility functions for [diagnostics](https://turinglang.org/MCMCChains.jl/stable/diagnostics/#Diagnostics) and [visualisations](https://turinglang.org/MCMCChains.jl/stable/statsplots/#StatsPlots.jl).
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- [MCMCDiagnosticTools.jl](https://turinglang.org/MCMCDiagnosticTools.jl/): This package provides functionality for diagnosing samples generated using Markov Chain Monte Carlo.
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## TuringBenchmarking.jl
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- [TuringBenchmarking.jl](https://turinglang.org/TuringBenchmarking.jl/): A useful package for benchmarking and checking [`Turing.jl`](https://github.com/TuringLang/Turing.jl) models.
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- [TuringBenchmarking.jl](https://turinglang.org/TuringBenchmarking.jl/): A package for benchmarking and checking [`Turing.jl`](https://github.com/TuringLang/Turing.jl) models.
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## Gaussion Processes
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## Gaussian Processes
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- [AbstractGPs.jl](https://juliagaussianprocesses.github.io/AbstractGPs.jl): AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases.
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