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GUEGUEN Mikaël / ScientificPython MIMME Course
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CEFE / PACE / NIRS_Workflow
Creative Commons Attribution 4.0 InternationalProjet pôle numérique / PACE pour le traitement de données d'analyses chimiques en proche infra-rouge NIRS.
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RELEO / releo_mvp
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FILIPPI Jean-Baptiste / metflix
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MMDC / MMDC-SingleDate
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FAST / Semirings.jl
CeCILL Free Software License Agreement v2.0Implementation of common semirings.
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Bridge Rss pour l'entrepôt de données https://entrepot.recherche.data.gouv.fr/
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cycle de conférences multidisciplinaires interne au CESBIO
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Exploration de projets Python : retours d'expérience et veille technologique
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FAST / FiniteStateAutomata.jl
CeCILL Free Software License Agreement v2.1A finite state automata library.
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Laboratoire de linguistique formelle / Materials / Morning Dev’
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The goal of this project is to provide a 2D, 3D and multi-labels mutual shape estimation module compatible with the ITK library. Mutual shape estimation means calculating a consensus shape from several inputs coming from different segmentation entries or expert drawings. The multi-labels approach is useful to estimate mutual shapes composed of multiples labels in 2D or 3D. This is the first version of the module which was written in the Laboratory CREATIS, CNRS by A. Garcia under the supervision of S. Jehan-Besson (CREATIS, CNRS) and P. Clarysse (CREATIS, CNRS).
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