KEggensperger
Hi! I am a researcher working on HPO and AutoML.
University of TübingenTübingen, Germany
Pinned Repositories
auto-sklearn
Automated Machine Learning with scikit-learn
ConfigSpace
Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.
HPOBench
Collection of hyperparameter optimization benchmark problems
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
DistNet
HPOBench
Collection of hyperparameter optimization benchmark problems
HPOlib
HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt
keggensperger.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LatexTemplate
Latex Template for AutoML-Conf
SurrogateBenchmarks
Providing methods to efficiently benchmark hyperparameter optimization algorithms
KEggensperger's Repositories
KEggensperger/DistNet
KEggensperger/SurrogateBenchmarks
Providing methods to efficiently benchmark hyperparameter optimization algorithms
KEggensperger/HPOBench
Collection of hyperparameter optimization benchmark problems
KEggensperger/HPOlib
HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt
KEggensperger/keggensperger.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
KEggensperger/LatexTemplate
Latex Template for AutoML-Conf
KEggensperger/OptSizeChooser
KEggensperger/scikit-learn
scikit-learn: machine learning in Python
KEggensperger/SMAC
Java Implementation of Sequential Model-based Algorithm Configuration
KEggensperger/SMAC3
Sequential Model-based Algorithm Configuration