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DEEP Marketplace

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We are glad to present an open ecosystem to foster the exchange of machine learning modules in the scientific community: the DEEP Marketplace. The catalogue includes all the applications developed

Our Newsletter #1 is out!

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The first Deep-HybridDataCloud Newsletter is out! Take a look to the first issue of the newsletter here! It includes: An overview of the project including a summary of the main objectives

Hybrid Virtual Elastic Clusters Across Clouds

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Virtual clusters provide the required computing abstraction to perform both HPC (High Performance Computing) and HTC (High Throughput Computing) with the help of a LRMS (Local Resource Management

DEEP Webinar

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Worried about the learning curve to introduce Deep Learning in your organization? Don’t be. The DEEP-HybridDataCloud project offers a framework for all users, including non-experts, enabling the

Quality software matters

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This is true for any kind of software development effort, regardless of whether it is framed under a big collaboration project or consisting in a humble application created for a confined audience.

udocker: Docker for users with no privileges

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udocker is a user tool to execute simple docker containers in user space, no root privileges required. Containers and specifically Docker containers have become pervasive in the IT

DEEPaaS training facility available in EOSC

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Many research areas are being transformed by the adoption of machine learning and deep learning techniques. Research e-Infrastructures should not neglect this new trend, and develop services that

Alien4Cloud in DEEP

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Alien4Cloud® is an advanced cloud management tool that aims at simplifying the composition (both visual and text), management (e.g. source storing/versioning/editing), handling, and

DEEP as a Service: Deep Learning for everybody

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First part: Running a module locally for prediction Deep Learning is nowadays at the forefront of Artificial Intelligence, shaping tools that are being used to achieve very high levels of

Paving the path towards the implementation of the EOSC ecosystem

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The European Open Science Cloud (EOSC) aims to be the Europe’s virtual environment for all researchers to store, manage, analyse and re-use data for research, innovation and educational

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435.

Unless otherwise indicated, all materials created by the DEEP-Hybrid-DataCloud consortium are licensed under a Creative Commons Attribution 4.0 International License.

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