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Excited to learn something new, anytime, anywhere!
💡
Excited to learn something new, anytime, anywhere!

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@INL-Laboratory

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navidpadid/README.md

Navid Malekghaini

Linkedin Gmail

  • 🖥️ Current: Senior software engineer in R&D domain (more focused on distributed systems infrastructure)

  • 🖥️ Prev. Machine Learning Researcher & Engineer at Systems and Networking Lab, University of Waterloo and Orange ™️ Telecom in Computer Networks & Network Security

  • 🪔 My motivation: “There's a light somewhere. It may not be much light but it beats the darkness. ”

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  1. OrangeUW/AutoML4ETC OrangeUW/AutoML4ETC Public archive

    AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.

    Python 12

  2. ProcLens ProcLens Public

    A Linux kernel module that surfaces process and thread details including memory layout, CPU usage, network/socket activity, per-process I/O accounting, and live section-based inspection.

    C 3

  3. From-dirty-data-to-knowledge-full-pipeline From-dirty-data-to-knowledge-full-pipeline Public

    Learn the fundamental tools for assessing, preparing and analyzing data. You will learn to implement a variety of analytical and machine learning algorithms to including supervised, unsupervised an…

    Jupyter Notebook 1