A Julia machine learning framework

Core functionality for the MLJ machine learning framework

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

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

TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration

Lightweight package to interface with MLJ

Machine Learning with Time Series in Julia

Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)

Implementation of the MLJ scientific type convention

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

MLJ Interface for ScikitLearn.jl

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Connecting MLJ and MLFlow

A package for wrapping iterative MLJ models in a control strategy

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

MLJ.jl interface for GLM.jl models

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MLJ.jl interface for JLBoost.jl

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Repository implementing MLJ interface for MultivariateStats models.

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

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

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

Holds metadata for models implementing the MLJ interface at MLJBase

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