20 Packages since 2017
User Packages
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MLJ.jl1077A Julia machine learning framework
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MLJBase.jl63Core functionality for the MLJ machine learning framework
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MLJModels.jl46A place for non-native implementations of the MLJ model API
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ScientificTypes.jl37An API for dispatching on the "scientific" type of data instead of the machine type
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MLJTuning.jl35Hyperparameter optimization algorithms for use in the MLJ machine learning framework
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PDSampler.jl29Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
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MLJLinearModels.jl20Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
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TimeSeriesClassification.jl19Machine Learning with Time Series in Julia
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NearestNeighborModels.jl18Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.
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MLJScientificTypes.jl13Implementation of the MLJ scientific type convention
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MLJModelInterface.jl10Lightweight package to interface with MLJ
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MLJDecisionTreeInterface.jl4-
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MLJScikitLearnInterface.jl3MLJ Interface for ScikitLearn.jl
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MLJMultivariateStatsInterface.jl2Repository implementing MLJ interface for MultivariateStats models.
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StatisticalTraits.jl1-
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MLJGLMInterface.jl1-
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MLJClusteringInterface.jl1-
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MLJXGBoostInterface.jl1-
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MLJNaiveBayesInterface.jl0-
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MLJLIBSVMInterface.jl0An implementation of the MLJ model interface for support vector machines provided by LIBSVM.jl
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