From e0ad80e1005923853aef486007ed9c3a4cb78db8 Mon Sep 17 00:00:00 2001 From: Kyurae Kim Date: Mon, 27 May 2024 22:12:01 +0100 Subject: [PATCH] Update README.md Co-authored-by: Hong Ge <3279477+yebai@users.noreply.github.com> --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 34bde195..aa1ff2cd 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [AdvancedVI](https://github.com/TuringLang/AdvancedVI.jl) provides implementations of variational inference (VI) algorithms. VI algorithms perform scalable and computationally efficient Bayesian inference at the cost of asymptotic exactness. `AdvancedVI` is part of the [Turing](https://turinglang.org/stable/) probabilistic programming ecosystem. -The purpose of this package is to provide a common accessible interface for various VI algorithms and utilities so that other packages, e.g. `Turing`, only need to write a light wrapper for integration. +This package provides a common accessible interface for various VI algorithms and utilities so that other packages, e.g. `Turing`, only need to write a light wrapper for integration. For example, `Turing` combines `Turing.Model`s with `AdvancedVI.ADVI` and [`Bijectors`](https://github.com/TuringLang/Bijectors.jl) by simply converting a `Turing.Model` into a [`LogDensityProblem`](https://github.com/tpapp/LogDensityProblems.jl) and extracting a corresponding `Bijectors.bijector`. ## Examples