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Turned HTML to Quarto Markdown and added _includes to keep the main page clean
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‎_includes/header.qmd‎

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```{=html}
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<div class="line-graph">
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<div class="upper-content">
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<div class="responsive-heading">Turing.jl</div>
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</div>
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<div>
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<svg viewBox="0 0 2300 498" xmlns="http://www.w3.org/2000/svg">
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<path class="line line1"
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d="M0 487 C1155.53 487 1320.502 502.995 1391.761 461.5C1453.584 425.5 1467.657 399 1509.375 344.5C1551.093 290 1586.276 213 1645.586 213C1704.895 213 1776.77 350.5 1806.425 389C1875.39 478.535 1871.263 486.5 2300 487"/>
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<path class="line line2"
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<path class="line line3"
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</svg>
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</div>
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</div>
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```
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```{=html}
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<span class="display-6 d-block text-center py-5 display-md-5 display-lg-4">
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Bayesian inference with probabilistic programming
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</span>
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<div class="d-flex flex-column align-items-center gap-0 pb-5">
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<div class="d-flex flex-row flex-wrap panel-wrapper gap-2">
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<a href="https://turinglang.org/docs/tutorials/docs-00-getting-started/" class="button--fill btn">
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Tutorials
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</a>
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<a href="https://julialang.slack.com/archives/CCYDC34A0" class="button btn">
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Slack
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</a>
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<a href="https://discourse.julialang.org/c/domain/probprog/48" class="button btn">
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Discourse
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</a>
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<a href="https://github.com/TuringLang" class="button btn">
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GitHub
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</a>
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</div>
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</div>
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```

‎index.qmd‎

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Turing.jl is a probabilistic programming language and Bayesian modelling framework for the Julia programming language.
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---
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```{=html}
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<div class="line-graph">
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<div class="upper-content">
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<div class="responsive-heading">Turing.jl</div>
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</div>
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<div>
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<svg viewBox="0 0 2300 498" xmlns="http://www.w3.org/2000/svg">
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<path class="line line1"
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d="M0 487 C1155.53 487 1320.502 502.995 1391.761 461.5C1453.584 425.5 1467.657 399 1509.375 344.5C1551.093 290 1586.276 213 1645.586 213C1704.895 213 1776.77 350.5 1806.425 389C1875.39 478.535 1871.263 486.5 2300 487"/>
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<path class="line line2"
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d="M0 486.5 C223.96 486.5 883.72 484.016 977.94 484.016C1163.36 484.016 1183.85 461.682 1249.81 287.031C1283.73 197.222 1311.724 96 1349.948 96C1388.171 96 1418.291 219.36 1447.552 292.5C1536.356 514.469 1548.077 486 1734.55 486C1921.023 486 2087.346 485.5 2300 485.5"/>
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<path class="line line3"
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</svg>
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</div>
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</div>
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```
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{{< include _includes/header.qmd >}}
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```{=html}
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<span class="display-6 d-block text-center py-5 display-md-5 display-lg-4">
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Bayesian inference with probabilistic programming
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</span>
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<div class="d-flex flex-column align-items-center gap-0 pb-5">
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<div class="d-flex flex-row flex-wrap panel-wrapper gap-2">
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<a href="https://turinglang.org/docs/tutorials/docs-00-getting-started/" class="button--fill btn">
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Tutorials
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</a>
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<a href="https://julialang.slack.com/archives/CCYDC34A0" class="button btn">
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Slack
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</a>
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<a href="https://discourse.julialang.org/c/domain/probprog/48" class="button btn">
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Discourse
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</a>
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<a href="https://github.com/TuringLang" class="button btn">
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GitHub
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</a>
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</div>
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</div>
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```
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::::: {.d-flex .flex-row .flex-wrap .panel-wrapper .gap-4 .section-end-space}
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```{=html}
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<div class="d-flex flex-row flex-wrap panel-wrapper gap-4 section-end-space">
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<div class="panel">
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<div class="panel-title pb-1">
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Expressive
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</div>
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Turing models are easy to write and communicate — their syntax closely resembles mathematical notation.
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</div>
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<div class="panel">
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<div class="panel-title pb-1">
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General-purpose
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</div>
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Turing supports models with discrete parameters and stochastic control flow.
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</div>
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<div class="panel">
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<div class="panel-title pb-1">
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Composable
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</div>
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Turing is written entirely in Julia, and is interoperable with its powerful ecosystem.
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</div>
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</div>
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```
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::: {.panel}
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##### Expressive {.panel-title .pb-1}
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Turing models are easy to write and communicate — their syntax closely resembles mathematical notation.
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:::
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<div class="d-flex flex-row flex-wrap panel-wrapper gap-3 pb-2">
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<div class="example-text" style="text-align:right;padding:0.5rem;">
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<div class="fs-4 fw-bold pb-1">
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Hello, World in Turing
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</div>
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Some text about how easy it is to [get going](https://turinglang.org/docs/tutorials/00-introduction/).
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</div>
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<div class="example-code">
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::: {.panel}
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##### General-purpose {.panel-title .pb-1}
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Turing supports models with discrete parameters and stochastic control flow.
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:::
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::: {.panel}
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##### Composable {.panel-title .pb-1}
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Turing is written entirely in Julia, and is interoperable with its powerful ecosystem.
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:::
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:::::
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::::: {.d-flex .flex-row .flex-wrap .panel-wrapper .gap-3 .pb-2}
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::: {.example-text style="text-align:right;padding:0.5rem;"}
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<div class="fs-4 fw-bold pb-1">Hello, World in Turing</div>
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Some text about how easy it is to [get going](https://turinglang.org/docs/tutorials/00-introduction/).
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:::
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::: {.example-code}
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```julia
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@model function coinflip(; N::Int)
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# Prior belief about the probability of heads
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end;
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```
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</div>
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</div>
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<div class="d-flex flex-row-reverse flex-wrap panel-wrapper gap-3 pt-2 section-end-space">
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<div class="example-text" style="padding:0.5rem;">
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<div class="fs-4 fw-bold pb-1">
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Goodbye, World in Turing
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</div>
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Some text about how easy it is to interface with external packages like AbstractGPs. Learn more about modelling [Gaussian Processes](https://turinglang.org/docs/tutorials/15-gaussian-processes/) with Turing.jl.
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</div>
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<div class="example-code">
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:::
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:::::
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::::: {.d-flex .flex-row-reverse .flex-wrap .panel-wrapper .gap-3 .pt-2 .section-end-space}
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::: {.example-text style="padding:0.5rem;"}
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<div class="fs-4 fw-bold pb-1">Goodbye, World in Turing</div>
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Some text about how easy it is to interface with external packages like AbstractGPs. Learn more about modelling [Gaussian Processes](https://turinglang.org/docs/tutorials/15-gaussian-processes/) with Turing.jl.
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:::
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::: {.example-code}
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```julia
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@model function putting_model(d, n; jitter=1e-4)
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v ~ Gamma(2, 1)
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return (fx=f(d, jitter), f_latent=f_latent, y=y)
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end
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```
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</div>
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</div>
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:::
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:::::
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### News {.pb-3}
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```{=html}
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<h3 class="pb-3">
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News
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</h3>
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```
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::: {#news}
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:::

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