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Sadegh Khajepour
GitHub

Sadegh Khajepour

@sakha1370

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About

AI/ML Engineer (PhD) specializing in PyTorch, scientific machine learning, optimization, and simulation for real-world engineering problems.

Followers 59
Following 10
Public Repositories 8
Expertise

Skills & Technologies

Go Python HTML Jupyter Notebook
GitHub Work

Projects & Repositories

Recent public projects and repositories from this profile.

V2rayCollector

Go

This project crawls v2ray configs from Telegram channels.

⭐ 3 Forks: 0

OpenRay

Python

OpenRay is one of the largest open-source collections of free proxy servers, running hourly pipelines to ensure high-quality lists by protocol and country, promoting open and unrestricted internet access for everyone worldwide.

⭐ 246 Forks: 20

Generative_AI_Engineering_Coursera

HTML

This repository features my coursework from the IBM Generative AI Engineering Professional Certificate on Coursera. It includes Jupyter Notebooks with code, explanations, and visualizations, along with HTML/PDF summaries. The content highlights my skills in Generative AI, LLMs, NLP, and model optimization.

⭐ 36 Forks: 18

AI_Engineering_Coursera

HTML

This repository showcases my AI Engineering Professional Certificate coursework, including Jupyter Notebooks with code, explanations, and visualizations, as well as HTML/PDF summaries. It demonstrates my skills in AI/ML, deep learning, neural networks, and model optimization.

⭐ 4 Forks: 2

Machine_Learning_Coursera

Jupyter Notebook

This repo contains my IBM Machine Learning Professional Certificate coursework, including Jupyter Notebooks with code, explanations, and visualizations, along with HTML/PDF summaries. It showcases my work on data preprocessing, supervised/unsupervised learning, deep learning, and model evaluation.

⭐ 2 Forks: 0
Jupyter Notebook View Project

Data_Science_Coursera

HTML

This repository contains materials and assignments from my Data Science journey on Coursera, including Jupyter Notebooks (.ipynb) with code, explanations, and visualizations, along with HTML/PDF exports summarizing key takeaways. It showcases my work on data manipulation, statistical analysis, machine learning, and data visualization techniques.

⭐ 2 Forks: 0