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Enzo Durand / AlphaZeroICGA
MIT LicenseImplementing deep reinforcement learning algorithms for the ICGA competition.
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Karine Heydemann / LIP6DROMEL
Apache License 2.0Updated -
Julien Karadayi / code Swap Proba Partage
GNU General Public License v3.0 or laterCode python pour les expériences de génération de graphes aléatoires
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The goal of this project is to simulate the route of a bus based on a dataset using a prediction model. The dataset contains information collected through sensors in the City of Rio de Janeiro, Brazi.
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Alexis Baudin / MaxCliques-LinkStream
MIT LicenseUpdated -
inrimage / mpeg_encode
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ALMASTY / High-Performance Xbred
The UnlicenseUpdated -
Marco Milanese / Banal
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ALMASTY / m4ri-ppar
GNU General Public License v2.0 or laterSpecial version of the M4RI library for the PPAR class.
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equipebd / atem
GNU General Public License v2.0 or laterATEM is a novel framework for studying topic evolution in scientific archives. It is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles.
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Theo Archambault / visapp2023
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