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active-testing

Active Testing using surrogates

aslib_data

Algorithm Selection scenario data

automl-code

automl_algorithmselection

automl_assignment1

automl_assignment_bo

codeigniter-ion-auth

Simple and Lightweight Auth System for CodeIgniter

codequality

configspace

eindhoven2014

Contains website files for the Eindhoven 2014 OpenML Workshop.

eindhoven2015

feature-encoding

hypecnn

Hyperparameter importance for CNNs

lccv

liac-arff

A library for read and write ARFF files in Python

linear-vs-non-linear

For the notebook related to the paper with Peter van der Putten, Benjamin Strang and Frank Hutter

lstm-fewshotlearning-oplstm

meta-search-algorithm-analyzer

This project provides a Python-based analysis tool tailored for optimizing algorithm performance across both continuous and discrete problem domains, utilizing the Nevergrad optimization framework and exploratory landscape analysis (ELA)

metadl

AAAI 2021 - Workshop 'Meta-Learning and Co-Hosted Competition' challenge repository

metalearning

metalearning-book

contains scripts for plots created for the meta-learning book

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

multisearch-weka-package

Weka package for parameter optimization, similar to GridSearch, but with arbitrary number of parameters.

oasc_starterkit

openml-algsel

algorithm selection with openml

openml-defaults

Search for a set of defaults for sklearn and mlr

openml-multitask

openml-pimp

Parameter Importance according to OpenML

openml-python-scripts

openmljavatools

Several Tools for OpenML Java