Starling is a time-series anomaly detection research project. Its goal is to investigate how different retraining strategies affect anomaly detection when time-series data changes over time.We use NASA SMAP/MSL telemetry data from [Telemanom](https://github.com/khundman/telemanom).
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2026-11-02: 50 stars and 0 forks.
21 Lessons, Get Started Building with Generative AI
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Python - 100天从新手到大师
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AI 课程笔记：langchain / langgraph / python / vibe coding
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Learn ML engineering for free in 4 months! Register here 👇🏼
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✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
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Build a modern LLM from scratch. Every line commented. Explained like we are five.
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Topics: attention-mechanism, deep-learning, educational, from-scratch, gpt, language-model
21 Lessons, Get Started Building with Generative AI
GitHub repository with 122,833 stars and 65,726 forks.
Trending score: 4.81; stars gained: +242; forks gained: +325.
Language: Jupyter Notebook
Topics: ai, azure, chatgpt, dall-e, generative-ai, generativeai
Python - 100天从新手到大师
GitHub repository with 187,644 stars and 55,745 forks.
Trending score: 2.44; stars gained: +21; forks gained: -4.
Language: Jupyter Notebook
AI 课程笔记：langchain / langgraph / python / vibe coding
GitHub repository with 541 stars and 227 forks.
Trending score: 1.97; stars gained: +5; forks gained: +0.
Language: Jupyter Notebook
Topics: agent, agents, ai, atguigu, langchain, langgraph
Learn ML engineering for free in 4 months! Register here 👇🏼
GitHub repository with 14,857 stars and 3,301 forks.
Trending score: 1.29; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: course, deployment, docker, fastapi, kubernetes, machine-learning
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
GitHub repository with 23,868 stars and 2,659 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: agent, agents, book, chinese, computer-vision, cv
Build a modern LLM from scratch. Every line commented. Explained like we are five.
GitHub repository with 4,142 stars and 503 forks.
Trending score: 0.69; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: attention-mechanism, deep-learning, educational, from-scratch, gpt, language-model