Supporting artificial intelligence (machine learning and deep learning), parallel post-processing of very large data, and analysis of massive online data streams over distributed e-Infrastructures in the European Open Science Cloud (EOSC).
DEEP has won the EOSCHub week demo contest! Check the winning video demo here!
Get a Jupyter Lab environment to develop your model.
Browse and collaborate through the marketplace,submit your models to the EOSC resources, train and monitor their status.
Serve your models through a common HTTP endpoint, with automated deployment.
Our project aims to prepare a new generation of e-infrastructures to support deep learning and other intensive computing techniques to exploit very large data sources.
We work with all players in the data-science ecosystem:
