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Embedded/Edge Detection Benchmark is a systematic effort to assess DNNs for object detection for embedded, edge and real-time platforms
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Alessio Lei / MASA_server
MIT LicenseUpdated -
EmbeddedCNN / PipeCNN
Apache License 2.0Updated -
Nicola Capodieci / vkpolybench
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RTES / Xen
GNU General Public License v2.0 or laterUpdated -
Benchmark of ROS2. It is a "same structured" benchmark of ROS, in ROS2.
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This project implements a Linux Kernel Module which will be installed on the root cell of the hypervisor Jailhouse. It will enable the watchdog functionality. For further details see the README.
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Meta-Learning approach to tune hyperparameters in Neural Networks
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This repository is about the optimization of the computeWeights member function of the Particle Filter algorithm
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