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freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Collection of publicly available IPTV channels from all over the world
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
✅ The Node.js best practices list (July 2026)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
🧠 Train a 64M-parameter LLM from scratch in just 2h!
TranslatedMain open-source repository of "Understanding AI Agents in Depth: Design Principles and Engineering Practice" (by Li Bojie): the full text of the book, the compiled PDF, and companion code organized by chapter
TranslatedLarge single page application with 45 pages built on vue2 + vuex.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Awesome-LLM: a curated list of Large Language Model
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
Docker Cheat Sheet
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning