freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
- learn-to-code
- nonprofits
- programming
- nodejs
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59,132 visible repositories in the index
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21 Lessons, Get Started Building with Generative AI
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Learn AI Engineering! Learn it. Build it. Ship it for others.
Learn how to develop, deploy and iterate on production-grade ML applications.
Learn how to design systems at scale and prepare for system design interviews
- architecture
- distributed-systems
- system-design
- system-design-interview
TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
- course
- course-project
- course-assignment
- tsinghua-university
FCC China open source codebase and curriculum. Learn to code and help nonprofits.
deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
- machine-learning
- mlops
- model-deployment
- model-monitoring
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
- reverse-engineering
- hacking
- x86
- x64
Learn ML engineering for free in 4 months! Register here 👇🏼
Source code for Hacker101.com - a free online web and mobile security class.
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
- machine-learning
- deep-learning
- data-analysis
- data-mining
Source Code for Sigma Web Development Course
open source training courses about distributed database and distributed systems
- distributed-systems
- rust
- golang
- talent-plan
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
A self-paced course to learn Rust, one exercise at a time.
- exercises
- learning-by-doing
- rust
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
A collection of machine learning examples and tutorials.
Lab Materials for MIT 6.S191: Introduction to Deep Learning