Matthias Feurer's repositories
EC-Bestiary
A bestiary of evolutionary, swarm and other metaphor-based algorithms
AdamW-and-SGDW
Fixing Weight Decay Regularization in Adam
dcol
The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
FSBO
Few Shot Bayesian Optimization
hierarchical-kernels
Kernels for Bayesian Optimization in Conditional Parameter Spaces
LatexTemplate
Latex Template for AutoML-Conf
metafeatures
Meta-feature extractor
nbless
Construct, deconstruct, convert, execute, and prepare slides from Jupyter notebooks
scikit-learn
scikit-learn: machine learning in Python
sphinx-gallery
Sphinx extension for automatic generation of an example gallery
survey
An (in-progress) AutoML survey focusing on practical systems.
systematic-metafeatures
Python implementation for systematic generation of metafeatures.