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catboost.jl

Julia wrapper of the python library CatBoost for boosted decision trees

categoricaldistributions.jl

Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.

datasciencetutorials.jl

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

decisiontree.jl

Julia implementation of Decision Tree (CART) and Random Forest algorithms

earlystopping.jl

Early stopping criteria for loss-generating iterative algorithms

featureselection.jl

Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

hellojulia.jl

imbalance.jl

A Julia toolbox with resampling methods to correct for class imbalance.

iterationcontrol.jl

A package for controlling iterative algorithms

learnapi.jl

A Julia interface for training and applying models in machine learning and statistics

mlflowclient.jl

Julia client for MLFlow.

mlj

Work in Progress

mlj.jl

A Julia machine learning framework

mljbalancing.jl

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

mljbase.jl

Core functionality for the MLJ machine learning framework

mljclusteringinterface.jl

mljdecisiontreeinterface.jl

mljensembles.jl

mljexampleinterface.jl

A template for a Julia package implementing the MLJ model interface

mljflow.jl

Connecting MLJ and MLFlow

mljgaussianprocessesinterface.jl

mljglminterface.jl

MLJ.jl interface for GLM.jl models

mljiteration.jl

A package for wrapping iterative MLJ models in a control strategy

mljlibsvminterface.jl

An implementation of the MLJ model interface for support vector machines provided by LIBSVM.jl

mljlinearmodels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

mljmodelinterface.jl

Lightweight package to interface with MLJ

mljmodels.jl

Home of the MLJ model registry and tools for model queries and mode code loading

mljmultivariatestatsinterface.jl

Repository implementing MLJ interface for MultivariateStats models.

mljnaivebayesinterface.jl