Repository Index

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

• agent
• claude-code
• teaching
• agent-development

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github

🧠 Train a 64M-parameter LLM from scratch in just 2h!

• artificial-intelligence
• large-language-model

A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.

• claude-code
• guide
• tutorial

A collection of projects showcasing RAG, agents, workflows, and other AI use cases

• agents
• ai
• llm
• mcp

TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable

• llama
• llm
• pretraining
• agent

A straightforward method for training your LLM, from downloading data to generating text.

• gemini
• large-language-models
• llm
• openai

Pocket Flow: Codebase to Tutorial

• coding
• large-language-model
• large-language-models
• llm

TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching

• reinforcement-learning
• tutorial
• q-learning
• sarsa

A collection of machine learning examples and tutorials.

• deep-learning
• machine-learning
• reinforcement-learning
• python

👀 Train a 65M-parameter VLM from scratch in just 2h!

• artificial-intelligence
• chatgpt
• vision-language-model

TranslatedClaude Code + OpenClaw + Codex + WorkBuddy Chinese tutorials | 50 complete tutorials + 1 quick reference card | 800,000+ characters of content | 1,500+ hands-on examples | AI Coding / Agent four-track learning path (programming + assistant + Agent + office work)

• ai-agent
• ai-assistant
• ai-tutorial
• anthropic

The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.

• agentic-coding
• ai-assistant
• ai-coding
• ai-pair-programming

Ultimate Python study guide 🐍 🐍 🐍

• python
• python3
• study
• programming-language

Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one

• agent
• aigc
• coze
• dify

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

• neural-network
• image-classification
• machine-learning
• caffe

Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!

• ai
• ai-agent
• ai-agent-tools
• claude

Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.

• agent-rl
• dapo
• gspo
• opd

AI 视频制作工作流，涵盖分镜、素材、剪辑与导出。可看 AI 漫画成片，也可用仓库素材在本地重渲 Python 像素动画。

• ai-video
• ai-workflow
• animation
• coding-agent

Language Model GRU with Python and Theano

TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex

• agent
• ai-agent
• chinese
• claude-code

TranslatedBuild GPT-2 from scratch in PyTorch, step by step

• attention
• chinese
• deep-learning
• from-scratch

TranslatedAn agent development practice room based on LangGraph subgraphs: requirement clarification, user notes, document generation, and human review.

TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.

• clip
• ecommerce
• image-retrieval
• image-search