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Training material

E.g., 11/24/2020
E.g., 11/24/2020
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Create elastic virtual clusters in the EGI Cloud with the EC3/IM

Training material used during the webinar "Create elastic virtual clusters in the EGI Cloud with the EC3/IM"

Plant Identification Service_IFCA-CSIC

The video presents the Plant Identification Service developed by IFCA-CSIC (Spain). This service consists of a large-scale plant classification algorithm based on the ResNet convolutional neural network architecture.

The service is available via the EOSC Marketplace: https://marketplace.eosc-portal.eu/ and the following link: http://deep.ifca.es/plants

This section provides a list of training materials being used during the GBIF.ES training events, a service provider of the EOSC-hub.

Lagunasdesierranevada.es - Como participar | How to participate

Training material associated with the Glacier Lagoons of Sierra Nevada service.

This section provides a list of training materials being used during the GBIF.ES training events, a service provider of the EOSC-hub.

EGI-Containers-Webinar

Training material used during the webinar: "Managing Docker containers and Kubernetes clusters in the EGI Cloud"

Video recording also available in the indico agenda

IM_Webinar

Training material used during the webinar: The Infrastructure Manager.

Recording also available in the indico page.

HTCondor-CE Intro

Training material used during the Webinar: "Introduction to HTCondor-CE service"

DataHub webinar

Training material used during the webinar: "The EGI Datahub to federate distributed data sets for data-intensive applications in the cloud"

Recording is also available here: https://indico.egi.eu/event/5089/attachments/12945/15280/zoom_0.mp4

EGI AAI Check-In

Training material used during the webinar: "The EGI AAI Check-In service for scientific communities"

The EGI AAI Check-In service for scientific communities

Training material used during the webinar: "The EGI AAI Check-In service for scientific communities"

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EOSC-hub receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 777536. 

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