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Achim Guldner / Exploration and systematic assessment of the resource efficiency of Machine Learning
GNU Affero General Public License v3.0Scenarios, measurement data and analyses of resource efficiency-measurements of Machine Learning Algorithms
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Achim Guldner / Measuring and Assessing the Resource- and Energy Efficiency of Artificial Intelligence of Things Devices and Algorithms
GNU General Public License v3.0 or laterReplication package for the publication "Measuring and Assessing the Resource- and Energy Efficiency of Artificial Intelligence of Things Devices and Algorithms" @ EnviroInfo 2022.
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Das Skript mit dem die Protokolle des FSR Physik der TU Kailserslautern erstellt werden.
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Green-Software-Engineering / energy- and resource efficiency of bayesian neural networks
Creative Commons Attribution Share Alike 4.0 InternationalUpdated -
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Codes for the SMAD signaling RODE model: forward solver, burst analysis, parameter estimation
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Teamprojekt im Sommersemester 2022 an der Hochschule Trier
Thema: Visualisierung von Attraktionsbereichen bei Autoencodern
Teammitglieder: Hendrik Büthe, Nicolas Schuler
Zuständiger Professor: Hans-Peter Beise
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