A Julia machine learning framework

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

Core functionality for the MLJ machine learning framework

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

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

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

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Julia client for MLFlow.

Lightweight package to interface with MLJ

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

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

Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.

Early stopping criteria for loss-generating iterative algorithms

A package for controlling iterative algorithms

Implementation of the MLJ scientific type convention

Measures (metrics) for statistics and machine learning

Plot recipe for plotting (decision) trees

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

MLJ Interface for ScikitLearn.jl

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

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Julia wrapper of the python library CatBoost for boosted decision trees

A package for wrapping iterative MLJ models in a control strategy

Partial implementation of the OpenML API for Julia

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Base interface for dispatching on the "scientific" type of data instead of the machine type

MLJ.jl interface for GLM.jl models

Connecting MLJ and MLFlow

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

Repository implementing MLJ interface for MultivariateStats models.

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

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

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

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

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