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jElhamm/README.md

✨... Welcome, I'm Elham Jafari ...✨

Programmer, Computer Engineer And Passionate About Technology

connect with me

Elham's LinkedIn Elham's GitHub Elham's Email

I'm a passionate Computer Engineering student at Tabriz University 🎓, deeply enthusiastic about programming and continuously exploring the latest technologies. With years dedicated to honing my skills in Python, C++, and Git, I thrive on pushing the boundaries of software development. From algorithm design to tackling complex problems in machine learning and web development, I'm committed to crafting elegant solutions that make a meaningful impact.

Technologies

⭐️ Machine Learning ⭐️ Deep Learning ⭐️ Neural Networks ⭐️ Python ⭐️ C++
⭐️ Data Analysis ⭐️ Design Patterns ⭐️ Computer Networks ⭐️ Competitive Programming ⭐️ Data Structures

Skills & Tools

Languages

  • Python
  • Java
  • C++
  • C
  • Matlab
  • Prolog
  • Verilog
  • Assembly
  • PHP
  • HTML
  • CSS
  • LaTeX

Libraries

  • PyTorch
  • Pandas
  • NumPy
  • SciPy
  • Matplotlib
  • Scikit-learn
  • TensorFlow
  • Shark
  • STL
  • Eigen
  • Dlib
  • Keras

Tools

  • Git
  • GitHub
  • Jupyter Notebook
  • Visual Studio
  • Eclipse CDT
  • Code::Blocks
  • pytest
  • Proteus
  • Terminal
  • Tracer Packet
  • Wireshark
  • MySQL

Operating Systems

  • Linux
  • Ubuntu
  • Linux Terminal
  • Windows
  • CMD
  • VMware

Git Stats

Elham's GitHub Stats Top Langs

GitHub Streak

Pinned Loading

  1. Article-Deep-Learning-for-the-Gaussian-Wiretap-Channel Article-Deep-Learning-for-the-Gaussian-Wiretap-Channel Public

    Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"

    Jupyter Notebook 2

  2. Deep-Learning-for-Channel-Coding-MI-Estimation Deep-Learning-for-Channel-Coding-MI-Estimation Public

    "Simulations for the paper 'Deep Learning for Channel Coding via Neural Mutual Information Estimation' by Rick Fritschek, Rafael F. Schaefery, and Gerhard Wunder"

    Jupyter Notebook 2

  3. Hands-On-Graph-Neural-Networks-Using-Python Hands-On-Graph-Neural-Networks-Using-Python Public

    "This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."

    Jupyter Notebook

  4. CLRS-Algoriothms CLRS-Algoriothms Public

    Forked from MahyarFardin/CLRS-Algoriothms

    This repository contains full implementation of CLRS book in JAVA and Python

    Java

  5. Overview-Gradient-Descent-Optimization-By-Sebastian-Ruder Overview-Gradient-Descent-Optimization-By-Sebastian-Ruder Public

    "Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"

    Jupyter Notebook 2

  6. Virtual-Memory Virtual-Memory Public

    "Implementation of Virtual Memory available in operating systems"

    C++ 1 1