Explore projects
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TALENT / TALENT / LASER - NoteMyProgress Plug-in
GNU General Public License v3.0 onlyUpdated -
poquet / irit-latex-pandoc-template
MIT LicenseUpdated -
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sepia-pub / LightOM2M
OtherLightOM2M WILL BE AVAILABLE ON NOVEMBER 2022.
This projet is an opensource to deploy oneM2M architecture on very constrained devices. It implements a common service entity (CSE) at the gateway level. Typical usage could be on microcontroller like ESP8266.
This project has been partially founded by Toulouse Tech Transfert in a valorisation process and developed inside laboratories of CNRS. It is now managed mainly at IRIT.
Contact: thierry.monteil@irit.fr
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sepia-pub / Expetator
GNU General Public License v3.0 or laterA tool for running HPC benchmarks using several type of leverages (DVFS) and low-level monitoring (hardware performance counters, RAPL) mostly on Grid5000.
Documentation is available here: https://expetator.readthedocs.io/
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Published in Euro-Par 2022:
Maël Madon, Georges da Costa, Jean-Marc Pierson. Characterization of Different User Behaviors for Demand Response in Data Centers. 28th International Conference on Parallel and Distributed Computing : Parallel Processing (Euro-Par 2022), Aug 2022, Glasgow, United Kingdom. pp.53-68, ⟨10.1007/978-3-031-12597-3_4⟩. ⟨hal-03768237⟩
Artefact : https://gitlab.irit.fr/sepia-pub/open-science/demand-response-user/-/tree/europar2022
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SMAC / AMAK / Python / IoTAMAK / iotamak-example
MIT LicenseUpdated -
Project hosting Figures for the Interspeech's paper "Prediction of L2 speech proficiency based on multi-level linguistic features", edition 2022.
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SMAC / Simulation / Criz Innov / Criz Innov - BPMN 2 GAML
GNU General Public License v3.0 or laterUpdated -
Exemple de projet reproductible
Dans cette version, on ajoute une gestion de l'aléatoire et du paramétrage et le workflow est formalisé de cette façon le futur expérimentateur est assuré de pouvoir reproduire avec + d'exactitude.
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OppoCompo / oppocompo / UPNP / UPnPSpringComponents
GNU General Public License v3.0 or laterA web server with a friendly UI that can create mutiples services designed to be used for OCE
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Exemple d'expérience reproductible
Dans cette version, on fournit en plus un Dockerfile qui permet d'automatiquement reconstruire l'environnement de départ d'exécuter dans celui-ci l'expérimentation
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