8000 shining0611armor (Mehran Tamjidi) · GitHub
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shining0611armor/README.md
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Hi 👋 I'm Mehran

A curious and passionate engineer with a focus on Machine Learning and Digital Electronics.

Welcome to my GitHub! Here you'll find a collection of my public repositories, most of which are created with a strong emphasis on education and knowledge sharing.

👨‍💻 I’m currently working specifically on 3D Computer Vision and Machine Learning.

🌱 My skills include Deep Learning, Machine Learning, 3D Computer Vision, Electronics and Digital Electronics, Microcontrollers, Signal Processing, FPGA, and all things about Mathematics.

💬 I’m happy to answer any questions you might have about my areas of expertise.

📫 How to reach me: mehrant.0611@gmail.com

⚡ Fun Fact: I'm constantly exploring new technologies and improving my coding skills!


Connect with Me

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💻 Tech Stack:

Resume

Property Data
Language / IDE Python Badge MATLAB Badge C++ Badge C Badge VHDL Badge Assembly Badge Java Pycharm Badge Anaconda Badge Visual Studio Badge
Domain Knowledge Deep Learning Badge Machine Learning Badge Computer Vision Badge NLP Badge Computer Science Development Badge Electronics Badge Microcontroller Badge Electrical Engineering Development Badge Software Development Badge
CI / CD Markdown Badge Github Badge Github Actions Badge Docker Badge
Tools & Platform Google Colab Badge OpenCV Badge MySQL Badge HTML5 Badge CSS3 Badge JavaScript Badge LaTeX Badge
Machine Learning / Deep Learning frameworks Jupyter Notebook Badge Scikit-learn Badge PyTorch Badge TensorFlow Badge Keras Badge NumPy Badge pandas Badge
OS Linux Ubuntu

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Feel free to ask me about my fields of interest whenever you need!

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  1. Predicting-of-Turbofan-Engine-Degradation-Using-the-NASA-C-MAPSS-Dataset Predicting-of-Turbofan-Engine-Degradation-Using-the-NASA-C-MAPSS-Dataset Public

    This repository contains the implementation of a method to predict the remaining useful life (RUL) of turbofan engines based on the NASA C-MAPSS dataset. The approach is based on the reference pape…

    Jupyter Notebook 31 12

  2. Deep-Generative-Models Deep-Generative-Models Public

    This repository contains the course materials for our Deep Generative Models course at K. N. Toosi University of Technology in Spring 2025.

    2

  3. Implementation-of-a-Denoising-Diffusion-Probabilistic-Model-DDPM- Implementation-of-a-Denoising-Diffusion-Probabilistic-Model-DDPM- Public

    Jupyter Notebook 11 7

  4. Simple-Implementation-for-VAE-CVAE-and-VQVAE Simple-Implementation-for-VAE-CVAE-and-VQVAE Public

    Exploring the Variational Autoencoder (VAE) family

    Jupyter Notebook 9 7

  5. Introduction_of_linear_algebra_for_AI Introduction_of_linear_algebra_for_AI Public

    Here you can learn more about AI

    16 6

  6. SVM-Implementation SVM-Implementation Public

    Here you will learn to implement SVM ( with scikit-learn or from scratch - multiclass and kernel based )

    Jupyter Notebook 17 8

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