Julia machine learning libraries

Julia's packages are small and composable, so the section reads like a toolbox. Flux is the main deep learning library and Knet an older alternative; MLJ gives classical models a common interface the way scikit-learn does in Python. The JuliaStats organisation supplies Distributions, GLM, MultivariateStats, HypothesisTests and Clustering.

DataFrames.jl handles tabular data and Gadfly draws grammar-of-graphics plots. Several entries point to packages that have been renamed or replaced, such as LightGraphs (now Graphs.jl) and Mocha (superseded by Flux), so check the activity column before adding one to a project.