Preferential Bayesian Multi-Objective Hyperparameter Optimization

C++ implementation and R API for componentwise boosting

Automated Machine Learning with scikit-learn

A workaround for the Vodafone Station's packet loss issue

A bestiary of evolutionary, swarm and other metaphor-based algorithms

autoxgboost emulation for mlr3

Multi-criteria Automatic Gradient Boosting

Flexible Bayesian Optimization in R

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

VIP cheatsheets for Stanford's CS 230 Deep Learning

Collection of ML algorithms implemented in R6

Encapsulated object-oriented programming for R

Filter-based feature selection for mlr3

Feature Extraction from Grouped Data. Tutorial:

Data Backends to let mlr3 work transparently with (remote) data bases

Dataflow Programming for Machine Learning in R

🌼 Gaussian processes in TensorFlow via R 🌼

An automated machine learning tool aimed to facilitate AutoML research.

Hyperparameter optimization package of the mlr3 ecosystem

Recommended learners for mlr3

R package for Sublime Text 3

mlr3: Machine Learning in R - next generation

This Docker image provides an API to estimate the performance of a given algorithm with a given parameter set on a given OpenML task.

A Fast Implementation of Random Forests

Automatic tuning of random forests

Syntax highlight R code in the terminal

OpenML AutoML Benchmarking Framework