Stars
Master programming by recreating your favorite technologies from scratch.
😎 Awesome lists about all kinds of interesting topics
📚 Freely available programming books
A complete computer science study plan to become a software engineer.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
A book series (2 published editions) on the JS language.
Master the command line, in one page
💯 Curated coding interview preparation materials for busy software engineers
✅ The Node.js best practices list (July 2024)
A collection of various awesome lists for hackers, pentesters and security researchers
Storybook is the industry standard workshop for building, documenting, and testing UI components in isolation
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
Models and examples built with TensorFlow
🎉 A curated list of awesome things related to Vue.js
🗂 The perfect Front-End Checklist for modern websites and meticulous developers
A long list of (advanced) JavaScript questions, and their explanations ✨
A professional front-end template for building fast, robust, and adaptable web apps or sites.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
A complete daily plan for studying to become a machine learning engineer.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch