JuliaAI

MLJ.jl

A Julia machine learning framework

DecisionTree.jl

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

MLJBase.jl

Core functionality for the MLJ machine learning framework

DataScienceTutorials.jl

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

ScientificTypes.jl

An API for dispatching on the "scientific" type of data instead of the machine type

MLJModels.jl

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

MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

MLFlowClient.jl

Julia client for MLFlow.

LearnAPI.jl

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

MLJModelInterface.jl

Lightweight package to interface with MLJ

Imbalance.jl

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

EarlyStopping.jl

Early stopping criteria for loss-generating iterative algorithms

StatisticalMeasures.jl

Measures (metrics) for statistics and machine learning

CatBoost.jl

Julia wrapper of the python library CatBoost for boosted decision trees

MLJFlow.jl

Connecting MLJ and MLFlow

MLJXGBoostInterface.jl

MLJIteration.jl

A package for wrapping iterative MLJ models in a control strategy

MLJText.jl

A an MLJ extension for accessing models and tools related to text analysis

OpenML.jl

Partial implementation of the OpenML API for Julia

StatisticalMeasuresBase.jl

A Julia package for building production-ready measures (metrics) for statistics and machine learning

MLJBalancing.jl

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

MLJClusteringInterface.jl

MLJTestIntegration.jl

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

StatisticalTraits.jl

MLJ

Official webite for the Machine Learning in Julia package.

.github

FeatureSelection.jl

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

LearnDataFrontEnds.jl

Tool for developers writing LearnAPI.jl interfaces for algorithms in machine learning and statistics.

LearnTestAPI.jl

Tool for testing implementations of the LearnAPI.jl machine learning interface

MLJTestInterface.jl