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Theo Archambault / JAMES2024
MIT LicenseUpdated -
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ENE5AI / mumla
GNU General Public License v3.0 onlyUpdated -
ENE5AI / humla
GNU General Public License v3.0 onlyUpdated -
ENE5AI / arduino-ptt
MIT LicenseUpdated -
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Coriolis VLSI EDA / Tas Yagle
GNU General Public License v2.0 or laterStatic Timing Analyser
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Jonathan Lejeune / DiPLab
GNU General Public License v3.0 onlyUpdated -
Alexis Baudin / MaxCliques-LinkStream
MIT LicenseUpdated -
ALMASTY / High-Performance Xbred
The UnlicenseUpdated -
TRACFM : Next POI Recommendation using Mixed Transition and Collaborative Filtering Models
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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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Lionel Tabourier / code pks generation
GNU General Public License v3.0 or laterPython code for online version of pks generation algorithm
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