-
Notifications
You must be signed in to change notification settings - Fork 16
/
index.qmd
55 lines (43 loc) · 1.53 KB
/
index.qmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
---
# pagetitle: "Turing"
toc: false
page-layout: custom
section-divs: false
hide-description: true
description: |
Turing.jl is a probabilistic programming language and Bayesian modelling framework for the Julia programming language.
---
::: {.hero-banner}
::: {.grid}
::: {.g-col-1}
:::
::: {.g-col-8}
# Turing.jl: Bayesian inference with probabilistic programming.
### Intuitive
Turing models are easy to write and communicate — syntax is close to mathematical notations.
### General-purpose
Turing supports models with discrete parameters and stochastic control flow.
### Modular and composable
Turing is modular, written entirely in Julia, and is interoperable with the powerful Julia ecosystem.
::: {.hero-buttons style="position: relative; display: flex; justify-content: center;"}
[Get Started]({{< meta get-started >}}){.btn-action-primary .btn-action .btn .btn-lg role="button" style="background-color: #073c44; color: white"}
:::
::: {.g-col-3}
:::
:::
:::
:::
::: {style="position: relative; display: flex; justify-content: center;"}
::: {.grid}
::: {.g-col-1}
:::
::: {.g-col-8}
## Community Resources
The Turing.jl [discourse forum](https://discourse.julialang.org/c/domain/probprog) provides support and discussion for all user levels.
The [Turing.jl documentation]({{< meta get-started >}}) and [official tutorials]({{< meta tutorials-intro >}}) help users learn and use Turing.jl!
There's also a [tutorial in Bayesian Statistics using Julia and Turing.jl](https://storopoli.io/Bayesian-Julia).
:::
::: {.g-col-3}
:::
:::
:::