mlj
There are 22 repositories under mlj topic.
JuliaAI/MLJBase.jl
Core functionality for the MLJ machine learning framework
JuliaAI/DataScienceTutorials.jl
A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
JuliaAI/ScientificTypes.jl
An API for dispatching on the "scientific" type of data instead of the machine type
JuliaAI/MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
JuliaAI/MLJModels.jl
Home of the MLJ model registry and tools for model queries and mode code loading
JuliaAI/MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
PyDataBlog/ParallelKMeans.jl
Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm
ashryaagr/Fairness.jl
Julia Toolkit with fairness metrics and bias mitigation algorithms
JuliaAI/NearestNeighborModels.jl
Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.
cscherrer/SossMLJ.jl
SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language
JuliaAI/MLJScikitLearnInterface.jl
MLJ Interface for ScikitLearn.jl
a-mhamdi/jlai
An Introduction to Artificial Intelligence with Julia
JuliaAI/MLJFlow.jl
Connecting MLJ and MLFlow
JuliaAI/MLJGLMInterface.jl
MLJ.jl interface for GLM.jl models
xiaodaigh/JLBoostMLJ.jl
MLJ.jl interface for JLBoost.jl
JuliaAI/MLJMultivariateStatsInterface.jl
Repository implementing MLJ interface for MultivariateStats models.
v-i-s-h/ModelMiner.jl
One package to train them all
AJV009/Julia_Learnings_resources
Julia learning resources collected from various Julia Computing repos!
edwinb-ai/LeastSquaresSVM
A Least Squares Support Vector Machine implementation in pure Julia
JuliaAI/FeatureSelection.jl
Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.
jsacevedoro/maths_for_ML
Binary Classification applying dimensionality reduction and hyperparameter tunning, working on MLJ framework in Julia. The Data comes from a Sonar System
tlienart/Regressions.jl
(now superseded by MLJLinearModels)