Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

A Julia toolbox with resampling methods to correct for class imbalance.

Interpretable Machine Learning via Rule Extraction

Julia Toolkit with fairness metrics and bias mitigation algorithms

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

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Fast, scalable and flexible Outlier Detection with Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Core functionality for the MLJ machine learning framework

A Julia machine learning framework