Email Client for Notmuch

Large Language Model Evolutionary Algorithm

Docker Images for mlr3

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

Package designed to solve large-scale problems asynchronously across a distributed network

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, 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