Update index.qmd

Author: yebai

library/index.qmd

@@ -40,20 +40,20 @@ This page lists all the packages that are part of the [The Turing Organization](
 
 ## Bijectors.jl
 
-> [Bijectors.jl](https://turinglang.org/Bijectors.jl/): A package for transforming distributions, used by [Turing.jl](https://github.com/TuringLang/Turing.jl).
+- [Bijectors.jl](https://turinglang.org/Bijectors.jl/): A package for transforming distributions, used by [Turing.jl](https://github.com/TuringLang/Turing.jl).
 
 ## TuringCallbacks.jl
 
-> [TuringCallbacks.jl](https://turinglang.org/TuringCallbacks.jl/): A package containing some convenient callbacks to use when you sample in [`Turing.jl`](https://app.codecov.io/gh/TuringLang/Turing.jl).
+- [TuringCallbacks.jl](https://turinglang.org/TuringCallbacks.jl/): A package containing some convenient callbacks to use when you sample in [`Turing.jl`](https://app.codecov.io/gh/TuringLang/Turing.jl).
 
 ## 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 useful package for benchmarking and checking [`Turing.jl`](https://github.com/TuringLang/Turing.jl) models.
 
 ## Gaussion 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.
 
 - [KernelFunctions.jl](https://juliagaussianprocesses.github.io/KernelFunctions.jl): Julia package for kernel functions for machine learning.
 
-- [ApproximateGPs.jl](https://juliagaussianprocesses.github.io/ApproximateGPs.jl): This is a package that provides some approximate inference algorithms for Gaussian process models, built on top of [AbstractGPs.jl](https://github.com/JuliaGaussianProcesses/AbstractGPs.jl).
+- [ApproximateGPs.jl](https://juliagaussianprocesses.github.io/ApproximateGPs.jl): This is a package that provides some approximate inference algorithms for Gaussian process models, built on top of [AbstractGPs.jl](https://github.com/JuliaGaussianProcesses/AbstractGPs.jl).