A self-paced bootcamp for engineers building AI into production systems. Starts from fundamentals (tokenization, embeddings, prompting) and builds to RAG, Agents (LangGraph, tool design, memory, mu…

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

The best-benchmarked open-source AI memory system. And it's free.

DPI bypass multi platform

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

100+ Python challenging programming exercises

An opinionated list of Python frameworks, libraries, tools, and resources

All Algorithms implemented in Python

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

My Python Examples

100 Days of ML Coding

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

This repository contains everything you need to become proficient in Applied Machine Learning

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

For automated installation of Hyprland on Fedora (latest release) or any Fedora based distros

A tool for scraping information from Webtoons.

🏅 Collection of Kaggle Solutions and Ideas 🏅

A complete computer science study plan to become a software engineer.