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Achim Guldner / Exploration and systematic assessment of the resource efficiency of Machine Learning
Scenarios, measurement data and analyses of resource efficiency-measurements of Machine Learning Algorithms
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Replication 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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Repository for working on benchmark given at https://wandb.ai/dronedeploy/dronedeploy-aerial-segmentation/benchmark
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