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ai-engineering-from-scratch-zh MCP Server

fancyboi999/ai-engineering-from-scratch-zh

Score: 80.8 → 0% Rank #1753 MCP Server
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Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

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Overview

fancyboi999/ai-engineering-from-scratch-zh is a Python tool licensed under MIT. Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南 Topics: agents, ai, ai-agents, ai-engineering, chinese, chinese-translation, computer-vision, course, deep-learning, from-scratch, generative-ai, learn-ai, llm, machine-learning, mcp, nlp, python, reinforcement-learning, transformers, tutorial.

Ranked #1753 out of 24846 indexed tools.

In the top 8% of all indexed tools.

Has 1,230 GitHub stars.

Has 12 contributors.

Ecosystem

Python MIT
agentsaiai-agentsai-engineeringchinesechinese-translationcomputer-visioncoursedeep-learningfrom-scratchgenerative-ailearn-aillmmachine-learningmcpnlppythonreinforcement-learningtransformerstutorial

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,230

1,230 stars → well-known project

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 50%

1/2 issues closed → decent issue management

Contributors 10% 12

12 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 183
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for fancyboi999/ai-engineering-from-scratch-zh
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Matched Queries

topic:mcp

From the README

<p align="center">
  
</p>

<p align="center">
  <b>从零开始,亲手实现每一个 AI 算法</b><br/>
  <sub>523 节课 · 20 个阶段 · Python / TypeScript / Rust / Julia · 配套中文网站 <a href="https://aieng-zh.cn">aieng-zh.cn</a></sub>
</p>

<p align="center">
  <a href="https://aieng-zh.cn"></a>
  <a href="ROADMAP.md"></a>
  <a href="#contents"></a>
  <a href="LICENSE"></a>
  <a href="https://github.com/fancyboi999/ai-engineering-from-scratch-zh/stargazers"></a>
</p>

```text
░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒
```

> 通过推导、代码和实验学习 AI 工程。
>
> 523 节课,20 个阶段,覆盖 Python、TypeScript、Rust、Julia。课程配有中文正文、测验、
> 可运行示例和可复用产物。免费阅读,开源,采用 MIT 许可。
>
> 从基础算法到 LLM 应用、agent 与生产系统,按你的目标选择学习路径。

> 本项目是 [AI Engineering from Scratch](https://github.com/rohitg00/ai-engineering-from-scratch)(作者 [Rohit Ghumare](https://github.com/rohitg00),MIT 协议)的**简体中文衍生版**。衷心感谢原作者创作并开源了这套课程。

### 这个中文版做了什么

中文版提供课程翻译、配套视频、交互式学习网站和 AI 导师:

| | |
|---|---|
| 🇨🇳 **全站简体中文** | 523 节课正文、243 条术语表、测验题、`mermaid
Read full README on GitHub →

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