AutoML

AutoML

Empowering Machine Learning Automation

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AutoML is a major topic in the machine learning community and beyond. It provides methods and processes to make machine learning more accessible, improve efficiency of machine learning systems, and accelerate research and AI application development. The academic research groups at the University of Freiburg, Leibniz University of Hannover, and University of Tübingen develop new state-of-the-art approaches and open-source tools for hyperparameter optimization, neural architecture search, and dynamic algorithm configuration. The collaboration between the groups aims to push the frontier of AutoML with a team of roughly 30 international researchers.

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