Launching automl.space: A Community Resource for AutoML
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Marius Lindauer
Jan 9, 2025, 7:42:04 AMJan 9
to coseal
Hi everyone,
Key Features:
* Open-Source AutoML Package Catalog: A comprehensive overview of available open-source AutoML packages, facilitating comparison and selection for diverse applications.
* AutoML Research Group Directory: A global map identifying research groups actively engaged in AutoML research, promoting collaboration and knowledge dissemination.
* Online Learning Resources: Access to various online materials, including the AutoML MOOC, seminar recordings, and the AutoML podcast, providing structured learning opportunities.
* Blog & Updates: A blog featuring posts on relevant AutoML topics, including a launch post covering recent developments and highlights from the upcoming AutoML conference (New York, September 2025).
Purpose and Scope:
automl.space aims to provide a platform for individuals and groups interested in AutoML, ranging from practitioners utilizing AutoML tools to researchers conducting state-of-the-art investigations. The site is intended to be a community-driven resource, fostering information sharing and collaboration within the field.
The platform offers:
* Centralized Information Hub: A single point of access for foundational knowledge, practical guidance, events, and current research in AutoML.
* Community Building: Opportunities for connection and interaction among researchers, practitioners, and enthusiasts.
* Dissemination of Advances: A channel for communicating new developments and fostering discussion within the AutoML community.
Invitation to Participate:
We encourage individuals and groups involved in #AI, #ML, #RL, (...) and, of course, #AutoML (incl. the COSEAL community) to visit automl.space and contribute to its development as a valuable community resource.
Best,
We are pleased to announce the launch of automl.space, a web portal designed to serve as a central resource for Automated Machine Learning (AutoML).
Key Features:
* Open-Source AutoML Package Catalog: A comprehensive overview of available open-source AutoML packages, facilitating comparison and selection for diverse applications.
* AutoML Research Group Directory: A global map identifying research groups actively engaged in AutoML research, promoting collaboration and knowledge dissemination.
* Online Learning Resources: Access to various online materials, including the AutoML MOOC, seminar recordings, and the AutoML podcast, providing structured learning opportunities.
* Blog & Updates: A blog featuring posts on relevant AutoML topics, including a launch post covering recent developments and highlights from the upcoming AutoML conference (New York, September 2025).
Purpose and Scope:
automl.space aims to provide a platform for individuals and groups interested in AutoML, ranging from practitioners utilizing AutoML tools to researchers conducting state-of-the-art investigations. The site is intended to be a community-driven resource, fostering information sharing and collaboration within the field.
The platform offers:
* Centralized Information Hub: A single point of access for foundational knowledge, practical guidance, events, and current research in AutoML.
* Community Building: Opportunities for connection and interaction among researchers, practitioners, and enthusiasts.
* Dissemination of Advances: A channel for communicating new developments and fostering discussion within the AutoML community.
Invitation to Participate:
We encourage individuals and groups involved in #AI, #ML, #RL, (...) and, of course, #AutoML (incl. the COSEAL community) to visit automl.space and contribute to its development as a valuable community resource.
Best,
Marius
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