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_quarto.yml
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_quarto.yml
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project:
type: website
preview:
# Change port if it's busy in your system or just remove this line so that It will automatically use any free port
port: 4200
browser: true
# These cannot be used as variables. They are reserved for the project configuration.
website:
title: "Turing.jl"
site-url: https://turinglang.org/
site-path: "/"
favicon: "assets/favicon.ico"
search:
location: navbar
type: overlay
navbar:
logo: "assets/images/turing-logo.svg"
logo-href: https://turinglang.org/
background: "#073c44"
foreground: "#ffffff"
left:
- href: tutorials/docs-00-getting-started/
text: Get Started
- href: tutorials/00-introduction/
text: Tutorials
- href: https://turinglang.org/library/
text: Libraries
- href: https://turinglang.org/news/
text: News
- href: https://turinglang.org/team/
text: Team
right:
# Current version
- text: "v0.35"
menu:
- text: Changelog
href: https://turinglang.org/docs/changelog.html
- text: All Versions
href: https://turinglang.org/docs/versions.html
tools:
- icon: twitter
href: https://x.com/TuringLang
text: Turing Twitter
- icon: github
href: https://github.com/TuringLang/Turing.jl
text: Turing GitHub
sidebar:
- text: documentation
collapse-level: 1
contents:
- section: "Users"
# href: tutorials/index.qmd, This page will be added later so keep this line commented
contents:
- tutorials/docs-00-getting-started/index.qmd
- tutorials/docs-12-using-turing-guide/index.qmd
- section: "Usage Tips"
collapse-level: 1
contents:
- tutorials/docs-10-using-turing-autodiff/index.qmd
- tutorials/usage-custom-distribution/index.qmd
- tutorials/usage-probability-interface/index.qmd
- tutorials/usage-modifying-logprob/index.qmd
- tutorials/usage-generated-quantities/index.qmd
- tutorials/docs-17-mode-estimation/index.qmd
- tutorials/docs-13-using-turing-performance-tips/index.qmd
- tutorials/docs-15-using-turing-sampler-viz/index.qmd
- tutorials/docs-11-using-turing-dynamichmc/index.qmd
- tutorials/docs-16-using-turing-external-samplers/index.qmd
- section: "Tutorials"
contents:
- tutorials/00-introduction/index.qmd
- text: Gaussian Mixture Models
href: tutorials/01-gaussian-mixture-model/index.qmd
- tutorials/02-logistic-regression/index.qmd
- tutorials/03-bayesian-neural-network/index.qmd
- text: Hidden Markov Models
href: tutorials/04-hidden-markov-model/index.qmd
- tutorials/05-linear-regression/index.qmd
- text: Infinite Mixture Model
href: tutorials/06-infinite-mixture-model/index.qmd
- tutorials/07-poisson-regression/index.qmd
- text: Multinomial Logistic Regression
href: tutorials/08-multinomial-logistic-regression/index.qmd
- text: Variational Inference
href: tutorials/09-variational-inference/index.qmd
- text: "Bayesian Differential Equations"
href: tutorials/10-bayesian-differential-equations/index.qmd
- text: "Probabilistic PCA"
href: tutorials/11-probabilistic-pca/index.qmd
- tutorials/13-seasonal-time-series/index.qmd
- text: "Introduction to Gaussian Processes"
href: tutorials/15-gaussian-processes/index.qmd
- text: "Gaussian Process Latent Variable Models"
href: tutorials/12-gplvm/index.qmd
- section: "Developers"
contents:
- section: "Contributing"
collapse-level: 1
contents:
- text: "How to Contribute"
href: tutorials/docs-01-contributing-guide/index.qmd
- section: "DynamicPPL in Depth"
collapse-level: 1
contents:
- tutorials/dev-model-manual/index.qmd
- tutorials/docs-05-for-developers-compiler/index.qmd
- text: "A Mini Turing Implementation I: Compiler"
href: tutorials/14-minituring/index.qmd
- text: "A Mini Turing Implementation II: Contexts"
href: tutorials/16-contexts/index.qmd
- section: "Inference (note: outdated)"
collapse-level: 1
contents:
- tutorials/docs-06-for-developers-interface/index.qmd
- tutorials/docs-04-for-developers-abstractmcmc-turing/index.qmd
- tutorials/docs-07-for-developers-variational-inference/index.qmd
- text: "Implementing Samplers"
href: tutorials/docs-17-implementing-samplers/index.qmd
page-footer:
background: "#073c44"
left: |
Turing is created by <a href="http://mlg.eng.cam.ac.uk/hong/" target="_blank">Hong Ge</a>, and lovingly maintained by the <a href="https://github.com/TuringLang/Turing.jl/graphs/contributors" target="_blank">core team</a> of volunteers. <br>
The contents of this website are © 2024 under the terms of the <a href="https://github.com/TuringLang/Turing.jl/blob/master/LICENCE" target="_blank">MIT License</a>.
right:
- icon: twitter
href: https://x.com/TuringLang
aria-label: Turing Twitter
- icon: github
href: https://github.com/TuringLang/Turing.jl
aria-label: Turing GitHub
back-to-top-navigation: true
repo-url: https://github.com/TuringLang/docs
repo-actions: [edit, issue]
repo-branch: master
repo-link-target: _blank
page-navigation: true
format:
html:
theme:
light: cosmo
dark: [cosmo, theming/theme-dark.scss]
css: theming/styles.css
toc: true
smooth-scroll: true
code-overflow: wrap
output-block-background: true
execute:
freeze: auto
# These variables can be used in any qmd files, e.g. for links:
# the [Getting Started page]({{< meta get-started >}})
# Note that you don't need to prepend `../../` to the link, Quarto will figure
# it out automatically.
get-started: tutorials/docs-00-getting-started
tutorials-intro: tutorials/00-introduction
gaussian-mixture-model: tutorials/01-gaussian-mixture-model
logistic-regression: tutorials/02-logistic-regression
bayesian-neural-network: tutorials/03-bayesian-neural-network
hidden-markov-model: tutorials/04-hidden-markov-model
linear-regression: tutorials/05-linear-regression
infinite-mixture-model: tutorials/06-infinite-mixture-model
poisson-regression: tutorials/07-poisson-regression
multinomial-logistic-regression: tutorials/08-multinomial-logistic-regression
variational-inference: tutorials/09-variational-inference
bayesian-differential-equations: tutorials/10-bayesian-differential-equations
probabilistic-pca: tutorials/11-probabilistic-pca
gplvm: tutorials/12-gplvm
seasonal-time-series: tutorials/13-seasonal-time-series
contexts: tutorials/16-contexts
minituring: tutorials/14-minituring
contributing-guide: tutorials/docs-01-contributing-guide
using-turing-abstractmcmc: tutorials/docs-04-for-developers-abstractmc-turing
using-turing-compiler: tutorials/docs-05-for-developers-compiler
using-turing-interface: tutorials/docs-06-for-developers-interface
using-turing-variational-inference: tutorials/docs-07-for-developers-variational-inference
using-turing-advanced: tutorials/docs-09-using-turing-advanced
using-turing-autodiff: tutorials/docs-10-using-turing-autodiff
using-turing-dynamichmc: tutorials/docs-11-using-turing-dynamichmc
using-turing: tutorials/docs-12-using-turing-guide
using-turing-performance-tips: tutorials/docs-13-using-turing-performance-tips
using-turing-sampler-viz: tutorials/docs-15-using-turing-sampler-viz
using-turing-external-samplers: tutorials/docs-16-using-turing-external-samplers
using-turing-implementing-samplers: tutorials/docs-17-implementing-samplers
using-turing-mode-estimation: tutorials/docs-17-mode-estimation
usage-probability-interface: tutorials/usage-probability-interface
usage-custom-distribution: tutorials/usage-custom-distribution
usage-generated-quantities: tutorials/usage-generated-quantities
usage-modifying-logprob: tutorials/usage-modifying-logprob
dev-model-manual: tutorials/dev-model-manual