PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
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PyTorch Tutorial for Deep Learning Researchers
How to create an OS from scratch
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A curated list of awesome Deep Learning tutorials, projects and communities.
Extensive Open-Source Guides for Android Developers
📚 Modern C++ Tutorial: C++11 to C++26 On the Fly | https://changkun.de/modern-cpp/
Modern JavaScript Tutorial
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A brief computer graphics / rendering course
Mostly adequate guide to FP (in javascript)
Learn OpenCV : C++ and Python Examples
Harness engineering beginner tutorial, from 0 to 1
Curated tutorial and resource links I've collected on React, Redux, ES6, and more
Translated100-Days-Of-ML-Code Chinese version
TranslatedA Chinese translation of TeachYourselfCS
TranslatedIntelliJ IDEA Simplified Chinese Topic Tutorial
Best Practices on Recommendation Systems
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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.
Translated"Getting Started with ECMAScript 6" is an open-source JavaScript language tutorial that comprehensively introduces the new syntax features added in ECMAScript 6.
💻 Vibe Coding 101|Your First Course For AI Product Builders.
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.