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yebai authored Jul 6, 2024
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title: "Turing Library API"
title: "Turing Libraries"
page-layout: full
include-in-header:
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## Modelling Languages

- [DynamicPPL.jl](https://turinglang.org/DynamicPPL.jl/): A domain-specific language and backend for probabilistic programming languages, used by Turing.jl.
- [DynamicPPL.jl](https://turinglang.org/DynamicPPL.jl/): A domain-specific language and backend for probabilistic programming languages used by Turing.jl.

- [JuliaBUGS.jl](https://turinglang.org/JuliaBUGS.jl/): JuliaBUGS is a graph-based probabilistic programming language and a component of the Turing ecosystem.

- [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
- [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

## 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.

- [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.
- [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.

- [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).

- [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.

## Diagnostics

- [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).
- [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).

- [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

- [TuringBenchmarking.jl](https://turinglang.org/TuringBenchmarking.jl/): A useful package for benchmarking and checking [`Turing.jl`](https://github.com/TuringLang/Turing.jl) models.
- [TuringBenchmarking.jl](https://turinglang.org/TuringBenchmarking.jl/): A package for benchmarking and checking [`Turing.jl`](https://github.com/TuringLang/Turing.jl) models.

## Gaussion Processes
## Gaussian Processes

- [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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