mlr-org

mlr3

mlr3: Machine Learning in R - next generation

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

mlr3proba

Probabilistic Learning for mlr3

mlr3learners

Recommended learners for mlr3

mlr3extralearners

Extra learners for use in mlr3.

mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

mlr3spatiotempcv

Spatiotemporal resampling methods for mlr3

mlr3spatial

Spatial objects within the mlr3 ecosystem

mlr3viz

Visualizations for mlr3

mcboost

Multi-Calibration & Multi-Accuracy Boosting for R

paradox

ParamHelpers Next Generation

mlr3mbo

Flexible Bayesian Optimization in R

bbotk

Black-box optimization framework for R.

mlr3cluster

Cluster analysis for mlr3

mlr3filters

Filter-based feature selection for mlr3

mlr3fselect

Feature selection package of the mlr3 ecosystem.

mlr3hyperband

Successive Halving and Hyperband in the mlr3 ecosystem

mlr3torch

Deep learning framework for the mlr3 ecosystem based on torch

mlr3fairness

mlr3 extension for Fairness in Machine Learning

mlr3benchmark

Analysis and tools for benchmarking in mlr3 and beyond.

mlr3tuningspaces

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

mlr3misc

Miscellaneous helper functions for mlr3

mlr3website

The mlr3 quarto website and accomanying R package.

mlr3batchmark

Connector between mlr3 and batchtools

mlr3docker

Docker Image for mlr3

mlr3oml

Connect mlr3 with OpenML

rush

Parallel and distributed computing in R.

mlr3fda

Functional Data Analysis for mlr3

mlr3automl