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| Name | Institution | Mail Address | Social Contacts | |
|---|---|---|---|---|
| Brunella D'Anzi | INFN Sezione di Bari | brunella.d'anzi@cern.ch | Skype: live:ary.d.anzi_1; Linkedin: brunella-d-anzi | |
| Nicola De Filippis | INFN Sezione di Bari | nicola.defilippis@ba.infn.it | N/A | |
Domenico Diacono | INFN Sezione di Bari | domenico.diacono@ba.infn.itN/A | ||
| Walaa Elmetenawee | INFN Sezione di Bari | walaa.elmetenawee@cern.chN/A | ||
| Giorgia Miniello | INFN Sezione di Bari | giorgia.miniello@ba.infn.it | N/A | |
| Andre Sznajder | Rio de Janeiro State University | sznajder.andre@gmail.com | N/A |
How to Obtain Support
| brunella.d'anzi@cern.ch,giorgia.miniello@ba.infn.it | |
| Social | Skype: live:ary.d.anzi_1; Linkedin: brunella-d-anzi |
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How to execute it
Use Googe Colab
What is Google Colab?
Google's Colaboratory is a free online cloud-based Jupyter notebook environment on Google-hosted machines, with some added features, like the possibility to attach a GPU or a TPU if needed with 12 hours of continuous execution time. After that, the whole virtual machine is cleared and one has to start again. The user can run multiple CPU, GPU, and TPU instances simultaneously, but the resources are shared between these instances.
Use-case Notebook
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The notebook for this tutorial can be found here. The .ipynb file is also available in the attachment section and in this GitHub repository.
Indeed, the user can use it by inserting the URL GitHub and clicking on the VBF_exercise.ipynb (be sure to work on a copy of it on your Google Drive!) :
or OR just clicking on the following link: https://colab.research.google.com/drive/1hVA0E5kosM2gdFkJINb6WeVp5hjG1ML1?usp=sharing.
The user must be sure to work on a copy of it on his/her Google Drive in both cases! In order to do this, a Google account is necessary.
Input files
The data sets data set files are on the Recas Bari's ownCloud and are automatically loaded by the notebook. In case, they are also available here and here .
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