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helegraf's repositories

TreeMiner

A java implementation of the TreeMiner algorithm (Mohammed Javeed Zaki: Efficiently Mining Frequent Trees in a Forest: Algorithms and Applications. IEEE Trans. Knowl. Data Eng. 17(8): 1021-1035 (2005)).

Language:JavaMIT3 10

classifier-auto-rank

A Bachelor's thesis with the topic of automated ranking of classification algorithms.

Language:JavaGPL-3.01 20

AILibs

A Java library for infrastructural classes and basic algorithms in the area reasoning, search, and machine learning

Language:Java030

AILibsExperiments

Experiments using the AILibs library

Language:JavaMIT010

ALORS-java

A java implementation of ALORS [Mısır, Mustafa, and Michèle Sebag. "Alors: An algorithm recommender system." Artificial Intelligence 244 (2017): 291-314.]. [WIP]

Language:JavaMIT020

automlc

Automated Multi-label Classification

Language:JavaGPL-3.0020

autoweka

Auto-WEKA

Language:Java010

cofirank

CofiRank

Language:C++000

cs-ranking

Context-sensitive ranking and choice in Python with Tensorflow

Language:Jupyter NotebookApache-2.0000

data-handling

A project to handle evaluation data of rankers, classifiers, meta features, etc.

Language:JavaGPL-3.0010

jf-dashapp

Beispielhafte Plotly-Dash App

Language:Jupyter Notebook000

jpl-framework

Java framework for Preference Learning

Language:JavaGPL-3.0000

py_experimenter

The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.

MIT000

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

NOASSERTION000