More recent packages:
- mlr3 - A large ML toolbox for R (successor of mlr).
- mlr3mbo - Model-Based Optimization toolbox.
- iml - Interpretable machine learning for R.
- autoxgboost - Automatic tuning and fitting of xgboost.
- batchtools - Tools for Computation on Batch Systems (successor of BatchJobs and BatchExperiments).
- backports - Back-compatibility with older R releases.
- checkmate for defensive programming in R.
- OpenML - OpenML connector in R.
- farff - A Faster ARFF File Reader and Writer.
- compboost - Fast and Flexible Component-Wise Boosting Framework for R.
- fxtract - Feature Extraction from Grouped Data.
- mosmafs - Multi-Objective Simultaneous Model and Feature Selection.
- deepregression Semi-structured Deep Distributional Regression.
- YAHPO Gym Surrogate benchmarks for HPO problems.
Somewhat older stuff:
- mlr - A large ML toolbox for R (in maintenance mode).
- mlrMBO - Model-Based Optimization toolbox.
- RBPcurve - The Residual-Based Predictiveness Curve.
- ordBTL - Modeling comparison data with ordinal response.
- gamboostLSS - Boosting Methods for GAMLSS.
- BatchJobs - Run R jobs on HPC clusters.
- BatchExperiments - Structure your experiments nicely, then run them with BatchJobs.
- rcoco - COCO / BBOB Framework for Benchmarking Continuous Black-Box Optimizers.
- parallelMap - Unified Interface to Parallelization Back-Ends.
- ParamHelpers - Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning.
- aslib - Algorithm selection repo.
- aslib-r - aslib connector for R.
