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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

D6.1 – State-of-the-art DEEP Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries

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This document provides an overview of the state-of-the-art in Deep Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries to be used as building blocks in the DEEP Open

New publication: “Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey”

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We are thrilled to announce that we have published a new paper entitled "Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey" on the Springer Artificial

D4.2 – First implementation of software platform for accessing accelerators and HPC

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This deliverable describes the first implementation of the software platform for accessing accelerators and HPC. The list of components included in the software platform is based on the analysis

D5.2 – High Level Hybrid Cloud solutions prototype

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This document complements deliverable D5.1 Definition of the Architecture of the Hybrid Cloud (D5.1) with the specific prototype developments carried out to support the deployment of

D6.3 – First prototype of the DEEP as a Service

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This document provides an updated description of the prototype implementation of the DEEP as a Service solution that is being developed within the DEEP-Hybrid-DataCloud project Work Package 6 (WP6).

D3.2 – Pilot testbed and integration architecgture with EOSC large scale infrastructures

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The deliverable contains the plan, design, architecture and deployment of the Pilot Preview testbed based on technical requirements and descriptions from the WP2 use cases. The services

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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