Bernd Bischl
Author of 33 CRAN packages
Bernd Bischl has completed over 33 packages! The dedication here is off the charts—clearly a coding superstar! Bernd Bischl worked with over 70 collaborators. That's a huge group of developers—almost like a coding festival!
33 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
- 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
- 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'
- mlr3torchDeep Learning with '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
- tspmetaInstance Feature Calculation and Evolutionary Instance Generation for the Traveling Salesman Problem
- bbotkBlack-Box Optimization Toolkit
- mlr3Machine Learning in R - Next Generation
Team
- Michel Lang
- Dirk Surmann
- Jakob Richter
- Jakob Bossek
- Daniel Horn
- Olaf Mersmann
- Henrik Bengtsson
- Giuseppe Casalicchio
- Pascal Kerschke
- Benjamin Hofner
- Dominik Kirchhoff
- Joaquin Vanschoren
- Karin Schork
- Lars Kotthoff
- Damir Pulatov
- Dénes Tóth
- Marc Becker
- Holger Löwe
- Christian Scholbeck
- Christian Heumann
- Barry Hurley
- Talal Rahwan
- Susanne Dandl
- Sebastian Fischer
- Florian Pfisterer
- Christoph Kern
- Carolin Becker
- Detlef Steuer
- Heike Trautmann
- Kalyanmoy Deb
- Philipp Probst
- Patrick Schratz
- Martin Binder
- Janek Thomas
- Christoph Molnar
- Julia Schiffner
- Zachary Jones
- Mason Gallo
- Erich Studerus
- Leonard Judt
- Tobias Kuehn
- Florian Fendt
- Xudong Sun
- Bruno Vieira
- Laura Beggel
- Quay Au
- Stefan Coors
- Steve Bronder
- Alexander Engelhardt
- Annette Spooner
- Sonabend Raphael
- Fabian Scheipl
- Maximilian Mücke
- John Zobolas
- Julia Moosbauer
- Sebastian Gruber
- Lennart Schneider
- Carlos Fonseca
- Michael H. Buselli
- Wessel Dankers
- Manuel Lopez-Ibanez
- Luis Paquete
- Lona Koers
- Keno Mersmann
- Raphael Sonabend
- Toby Hocking
- Ludwig Bothmann
- Lukas Burk
- Carson Zhang
- Daniel Schalk