janvanrijn

openml-pimp

Parameter Importance according to OpenML

metalearning

openml-defaults

Search for a set of defaults for sklearn and mlr

autoML-code

automl_algorithmselection

regenwateroverlast

aslib_data

Algorithm Selection scenario data

automl_assignment1

automl_assignment_bo

CodeIgniter-Ion-Auth

Simple and Lightweight Auth System for CodeIgniter

codequality

hypeCNN

Hyperparameter importance for CNNs

lccv

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-book

contains scripts for plots created for the meta-learning book

OASC_starterkit

openml-algsel

algorithm selection with openml

openml-multitask

openml-python-scripts

OpenmlJavaTools

Several Tools for OpenML Java

revisiting-learned-optimizers

scikit-learn

scikit-learn: machine learning in Python

subspace-adaptation-prior

transfer-meta-feature-representations

TST

v140

Proceedings of AAAI Workshop on Meta-Learning and MetaDL Challenge

v191

Proceedings of ECML/PKDD Workshop on Meta-Knowledge Transfer 2022

viz

vizualization scripts for private use