mlj topic

Core functionality for the MLJ machine learning framework

JuliaAI

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

JuliaAI

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

JuliaAI

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

JuliaAI

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

JuliaAI

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

PyDataBlog

Julia Toolkit with fairness metrics and bias mitigation algorithms

ashryaagr

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

cscherrer

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

JuliaAI

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

JuliaAI