Bernd Bischl
Author of 34 CRAN packages
Bernd Bischl has worked on 34 packages, which is nothing short of amazing. Who needs sleep when you've got code to write? Bernd Bischl teamed up with 66 other developers, making this project a gigantic collaborative effort. The coding world is a better place for it!
34 Packages
- BBmiscMiscellaneous Helper Functions for B. Bischl
- BatchExperimentsStatistical Experiments on Batch Computing Clusters
- BatchJobsBatch Computing with R
- OpenMLOpen Machine Learning and Open Data Platform
- ParamHelpersHelpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
- RBPcurveThe Residual-Based Predictiveness Curve
- aslibInterface to the Algorithm Selection Benchmark Library
- batchtoolsTools for Computation on Batch Systems
- bbotkBlack-Box Optimization Toolkit
- checkmateFast and Versatile Argument Checks
- farffA Faster 'ARFF' File Reader and Writer
- fmeffectsModel-Agnostic Interpretations with Forward Marginal Effects
- llamaLeveraging Learning to Automatically Manage Algorithms
- mcboostMulti-Calibration Boosting
- mcoMultiple Criteria Optimization Algorithms and Related Functions
- mlrMachine Learning in R
- mlr3Machine Learning in R - Next Generation
- mlr3benchmarkAnalysis and Visualisation of Benchmark Experiments
- mlr3fdaExtending 'mlr3' to Functional Data Analysis
- mlr3filtersFilter Based Feature Selection for 'mlr3'
- mlr3fselectFeature Selection for 'mlr3'
- mlr3hyperbandHyperband for 'mlr3'
- mlr3mboFlexible Bayesian Optimization
- mlr3pipelinesPreprocessing Operators and Pipelines for 'mlr3'
- mlr3resamplingResampling Algorithms for 'mlr3' Framework
- mlr3summaryModel and Learner Summaries for 'mlr3'
- mlr3tuningHyperparameter Optimization for 'mlr3'
- mlrCPOComposable Preprocessing Operators and Pipelines for Machine Learning
- mlrMBOBayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
- paradoxDefine and Work with Parameter Spaces for Complex Algorithms
- parallelMapUnified Interface to Parallelization Back-Ends
- rscimarkSciMark 2.0 Benchmark for Scientific and Numerical Computing
- soobenchSingle Objective Optimization Benchmark Functions
- tspmetaInstance Feature Calculation and Evolutionary Instance Generation for the Traveling Salesman Problem
Team
- Michel Lang
- Jakob Bossek
- Daniel Horn
- Jakob Richter
- Dirk Surmann
- Olaf Mersmann
- Henrik Bengtsson
- Giuseppe Casalicchio
- Dominik Kirchhoff
- Benjamin Hofner
- Pascal Kerschke
- Joaquin Vanschoren
- Karin Schork
- Lars Kotthoff
- Damir Pulatov
- Marc Becker
- Martin Binder
- Dénes Tóth
- Holger Löwe
- Christian Scholbeck
- Christian Heumann
- Barry Hurley
- Talal Rahwan
- Florian Pfisterer
- Susanne Dandl
- Christoph Kern
- Carolin Becker
- Sebastian Fischer
- Heike Trautmann
- Detlef Steuer
- Kalyanmoy Deb
- Patrick Schratz
- Julia Schiffner
- Zachary Jones
- Mason Gallo
- Erich Studerus
- Leonard Judt
- Tobias Kuehn
- Florian Fendt
- Philipp Probst
- Xudong Sun
- Janek Thomas
- Bruno Vieira
- Laura Beggel
- Quay Au
- Stefan Coors
- Steve Bronder
- Alexander Engelhardt
- Christoph Molnar
- Annette Spooner
- Raphael Sonabend
- Lennart Schneider
- Sonabend Raphael
- Maximilian Muecke
- Fabian Scheipl
- John Zobolas
- Sebastian Gruber
- Julia Moosbauer
- Michael H. Buselli
- Wessel Dankers
- Carlos Fonseca
- Manuel Lopez-Ibanez
- Luis Paquete
- Toby Hocking
- Ludwig Bothmann
- Daniel Schalk