An ML experiment tracker made in Julia.

A Julia machine learning framework

Lightweight Package for Integrating Outlier Detection Models with MLJ

Implementation of the 1-Rule data mining algorithm using the Julia programming language

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

An emacs mode for quarto: https://quarto.org

Julia package for loading many of the data sets available in R

minimalist (and minimally intrusive) macro set for extracting information from complex objects

Simple predictive models for tumor growth, and tools to apply them to clinical data

Measures (metrics) for statistics and machine learning

Connecting MLJ and MLFlow

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

Julia Project website

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

Plot recipe for plotting (decision) trees

A package for controlling iterative algorithms

Pkg - Package manager for the Julia programming language

Simple Traits for Julia

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

Abstract julia interfaces for working with trees

Wrapper for Python-based Outlier Detection Algorithms in Julia

Neighbor-based Outlier Detection Algorithms for Julia

Fast, scalable and flexible Outlier Detection with Julia

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

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

An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.

A Julia package for interpretable machine learning with stochastic Shapley values

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