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wanghao-SunSky/cs329z-chinese
斯坦福 Stanford CS329Z Engineering AI Agents 中文教程：面向 Python 开发者的 AI 智能体课程，19 讲与 4 项实践，涵盖 LLM、RAG、工具调用、记忆、多智能体、评测与安全。完整 Markdown、在线与离线 HTML。Chinese course notes.
★ 497
Stars
56 forks · 0 open issues
+76/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
58.5
Momentum / 100
see the breakdown below
10d ago
Created
last push 7d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 36.1 | +76/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.6 | last push 7d ago; decays to zero at 180 days |
| Scale | 15 | 7.8 | 497 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 58.5 | sum of the above |
Detail
| Topics | agent-memoryagentic-aiai-agentschinesechinese-tutorialcourse-notescs329zengineering-ai-agentsllmllm-evaluationmulti-agentpythonragstanfordtutorial |
| Matched on | AI Agents (agentic-ai, ai-agents, multi-agent) RAG (rag) LLM & Inference (llm) Learning & Roadmaps (tutorial) |
| Short window | +379 stars over 5 days = 75.8/day |
| Long window | no snapshot 14–45 days old yet |
| Lifetime average | 64.17 stars/day over 8 days |
| First seen here | 2026-10-31 |
| Last read | 2d ago |