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Developer Tech12d
Adapting engineering models to Huawei’s AI learning framework
Despite sanctions, Chinese companies are forging ahead with AI. The Huawei AI stack is optimised to run on the CloudMatrix ...
GitHub16d
QueueSim is a Python package for discrete event stochastic simulation of queueing networks. For Kendall models the performance indicators can also be computed using ... - GitHub
Python 3.7 or higher is needed to execute QueueSim.; numpy is used by queuesim.statistics and in several example files.; pandas and scipy are used in queuesim.analytic.; The visualizations in the ...
GitHub17d
GitHub - pkmital/pycadl: Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow" - pkmital ... files, MIDI, video, text, TensorFlow, TensorBoard, and their graphs. Examples of ...
IEEE20d
What Does Control Flow Really Look Like? Eyeballing the Cyclomatic Complexity Metric - IEEE Xplore
Assessing the understandability of source code remains an elusive yet highly desirable goal for software developers and their managers. While many metrics have been suggested and investigated ...
IEEE25d
A Robust Malware Detection Framework Using Control Flow Graphs, Node2Vec, and GCN Integration - IEEE Xplore
Malware detection remains a critical cybersecurity challenge, with existing techniques struggling to address evolving threats. Our research investigates graph-based methodologies, systematically ...