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

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@INL-Laboratory

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navidpadid/README.md

Navid Malekghaini

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Languages:

Python C Shell Script SQL

ML/DL:

Keras SciPy Pandas NumPy Matplotlib

DevOps/Cloud:

OpenStack JenkinsAnsible Docker Kubernetes Terraform

DB:

MongoDB MySQL Postgres Redis

OS:

LINUX Windows

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  1. OrangeUW/AutoML4ETC Public

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

    Python 11

  2. Linux-Process-Information-Kernel-Module Public

    This repository contains a three part documents and codes for implementing a LKM with a user program controller that extracts process information from kernel. for more information please refer to m…

    C 1 1

  3. 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

  4. python_log_api Public

    A sample python REST API to gather logs from multiple machines using Docker and Flask

    Python

  5. NetBill_Transaction_Protocol Public

    A simple NetBill Transaction Protocol Implementation based on the NetBill Paper. NetBill is a system for micropayments for information goods on the Internet in a secure way.

    Python 1

  6. FTPSearch Public

    FTPSearch = FTP IN TERMINAL + SEARCH SUPPORT ==> for Linux Debian/Ubuntu [ apt package manager]

    Shell 1

155 contributions in the last year

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Activity overview

Loading A graph representing navidpadid's contributions from March 24, 2024 to March 28, 2025. The contributions are 39% commits, 36% code review, 21% pull requests, 4% issues.

Contribution activity

March 2025

15 contributions in private repositories Mar 6 – Mar 26
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