henrifnk

DHARMa

Diagnostics for HierArchical Regession Models

kde1d

R package for univariate kernel density estimation

armacell

ARMA cell: a modular and effective approach for neural autoregressive modeling

rvinecopulib

R interface to the vinecopulib C++ library

counterfactuals

counterfactuals: An R package for Counterfactual Explanation Methods

rayshader

R Package for 2D and 3D mapping and data visualization

tidyclust

A tidy unified interface to clustering models

batchtools

Tools for computation on batch systems

shap

A game theoretic approach to explain the output of any machine learning model.

R6ClassDiagrams

leafdown

leafdown: drilldown functionality for leaflet choropleths

iml

iml: interpretable machine learning R package

mlr3keras

Deep learning for mlr3

mlr3learners

Recommended learners for mlr3

mlr3cluster

Cluster analysis for mlr3

mlr3viz

Visualizations for mlr3

mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

mlr3gallery

Case studies using mlr3

mlr3book

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

mlr3pipelines

Dataflow Programming for Machine Learning in R

mlr3

mlr3: Machine Learning in R - next generation