Stars
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.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Toolbox for Bayesian Optimization and Model-Based Optimization 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
Sources for algorithm selection for combinatorial search problems survey
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