A powerful, no code solution for control and systems engineering

Optimally tuned ridge regression when features can be partitioned into groups.

Modal decision trees, but it's sequential covering.

Sole interface for trees trained via JuliaAI/DecisionTree.jl.

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

One package to train them all

Empirical Bayes shrinkage in Julia

Dynamical systems identification

Invariant Causal Prediction in pure Julia

Multimodal datasets for Machine-Learning

MulticlassPerceptron.jl

A Julia package for Generative Topographic Mapping

Test Toolkit for Outlier Detection Algorithms

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Makie.jl recipes for the GeoStats.jl framework

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Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

Warehouse for dynamical systems identification and control

A package for plotting custom symbols from Taija packages.

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Easy way to use public outlier detection datasets with Julia

Advanced exports management for AutomationLabs.jl

Time Series Classification algorithms in Julia - Bachelor thesis project

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This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Adds support for parallelization for Taija packages.

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