Docker Image for mlr3

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

Parallel and distributed computing in R.

Data and code for modeling and optimizing laser-induced graphene production.

Wayland compositor

mlr3: Machine Learning in R - next generation

R Interface to MiniZinc

SSH tarpit that slowly sends an endless banner

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Composable Preprocessing Operators for MLR

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Machine Learning in R

Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support

Light-weight system monitor for X, Wayland (sort of), and other things, too

Interface to algorithm selection library

The mlr package online tutorial

Sources for algorithm selection for combinatorial search problems survey

Auto-WEKA

Algorithm Selection scenario data

Fast and versatile argument checks

BatchJobs: Batch computing with R

Helpers for parameters in black-box optimization, tuning and machine learning.

R package to interface some popular parallelization backends with a unified interface

BatchExperiments: Statistical experiments on batch computing clusters