<b>GaussianProcesses.jl</b>: A Nonparametric Bayes Package for the <i>Julia</i> Language

Gaussian processes are a class of flexible nonparametric Bayesian tools that widely used across the sciences, and in industry, to model complex data sources. Key applying process models is availability well-developed open source software, which available many programming languages. In this paper, we present tutorial GaussianProcesses.jl package has been developed for Julia language. utilizes inherent computational benefits language, including multiple dispatch just-in-time compilation, produce fast, user-friendly package. The provides mean kernel functions with supporting inference fit exact models, as well range alternative likelihood handle non-Gaussian (e.g., binary classification models) sparse approximations scalable processes. makes efficient use existing packages provide users optimization plotting tools.