1.datawhalechina / hello-agents
Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
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28 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
Translated📚 Building large models from scratch
Translated[Lumina Embodied AI Community] Embodied AI technology guide Embodied-AI-Guide
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
A playbook for systematically maximizing the performance of deep learning models.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
TranslatedQiangu's illustrated front-end tutorials, an extremely detailed knowledge base from beginner to advanced front-end. Learn front-end from scratch and become a refined and elegant front-end engineer.
TranslatedWTF Solidity minimalist introductory tutorial, for beginners. Now supports English! Official website: https://wtf.academy
mal - Make a Lisp
Code documentation written as code! How novel and totally my idea!
TranslatedThe Modern JavaScript Tutorial, based on the latest ECMAScript specification, explains JavaScript knowledge from the basics to advanced topics through content that is simple but sufficiently detailed.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A neural network that transforms a design mock-up into a static website.
:snowflake: a short introduction to node.js
From the basics to slightly more interesting applications of Tensorflow
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Deep Learning Tutorial notes and code. See the wiki for more info.
:computer: :mortar_board: Learn Git and GitHub. Try the new desktop version →
how to build modular applications with browserify