😎 Awesome lists about all kinds of interesting topics

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

🎓 Path to a free self-taught education in Computer Science!

A collection of various awesome lists for hackers, pentesters and security researchers

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…

A collection of (mostly) technical things every software developer should know about

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

📚 List of awesome university courses for learning Computer Science!

Interact with your documents using the power of GPT, 100% privately, no data leaks

Python Data Science Handbook: full text in Jupyter Notebooks

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace…

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …

Learn how to design systems at scale and prepare for system design interviews

🖤 Create and share beautiful images of your source code

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 👇🏼

10 Weeks, 20 Lessons, Data Science for All!

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

A complete daily plan for studying to become a machine learning engineer.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

Awesome-LLM: a curated list of Large Language Model

🤗 smolagents: a barebones library for agents that think in code.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.