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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About me
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Liste de liens de cours et playlist pour l’apprentissage sur des graphes
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Note de blog sur l’expressivité des modèles GNNs statiques et dynamiques
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Quick tool to scrape the latest machine learning conferences and perform keyword searches. The code returns a display of article titles and a short text describing the main contributions of the article.
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Short description of portfolio item number 1
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Short description of portfolio item number 2
Published in QUIET DRONES Second International e-Symposium on UAV/UAS Noise, 2022
I participated in the DEEPLOMATICS project as a research engineer at the CEDRIC laboratory of CNAM from October 2020 to September 2021. My task was to design a drone detection algorithm on images from very few amount of labeled data.
Recommended citation: https://hal.archives-ouvertes.fr/hal-03707115/
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Training in Machine Learning., Le Wagon, 2021
The wagon is a training organization for the IT professions. I taught machine learning, data science and python courses for different groups.
Refresh courses, AssoFac, 2021
I intervened as an independent trainer for refresher courses in science for the formation organism AssoFac. I gave courses in mathematics, electronics, physics and chemistry for future students of the SNCF.
Teaching assistant, CNAM, 2023
At the beginning of 2023 I was teaching assistant for the master in data science TRIED of CNAM. I gave practical classes on deep learning topics with the Keras framework. The website of the course with all the practical works and presentations are available at this link.