AccumulateMore/CV

✅（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 24,288 stars and 2,673 forks.

Language: Jupyter Notebook

Topics: book, chinese, computer-vision, deep-learning, machine-learning, natural-language-processing, notebook, python, jupyter-notebook, agent

Open provider repository

24h trend summary

Trending score 4.30, freshness score 0.00, stars gained +415, forks gained +14.

Latest metric snapshot

2026-11-15: 24,288 stars and 2,673 forks.

Trending in Jupyter Notebook

  1. 1. microsoft/generative-ai-for-beginners

    21 Lessons, Get Started Building with Generative AI

    GitHub repository with 123,578 stars and 66,452 forks.

    Trending score: 4.21; stars gained: +100; forks gained: +70.

    Language: Jupyter Notebook

    Topics: ai, azure, chatgpt, dall-e, generative-ai, generativeai

  2. 2. jackfrued/Python-100-Days

    Python - 100天从新手到大师

    GitHub repository with 187,853 stars and 55,718 forks.

    Trending score: 2.38; stars gained: +22; forks gained: -8.

    Language: Jupyter Notebook

  3. 3. xbsheng/atguigu-note

    AI 课程笔记：langchain / langgraph / python / vibe coding

    GitHub repository with 562 stars and 243 forks.

    Trending score: 1.16; stars gained: +1; forks gained: +5.

    Language: Jupyter Notebook

    Topics: agent, agents, ai, atguigu, langchain, langgraph

  4. 4. DataTalksClub/machine-learning-zoomcamp

    Learn ML engineering for free in 4 months! Register here 👇🏼

    GitHub repository with 14,857 stars and 3,301 forks.

    Trending score: 0.00; stars gained: +0; forks gained: +0.

    Language: Jupyter Notebook

    Topics: course, deployment, docker, fastapi, kubernetes, machine-learning

  5. 5. raiyanyahya/how-to-train-your-gpt

    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: 0.00; stars gained: +0; forks gained: +0.

    Language: Jupyter Notebook

    Topics: attention-mechanism, deep-learning, educational, from-scratch, gpt, language-model

  6. 6. stefan-jansen/machine-learning-for-trading

    Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

    GitHub repository with 21,334 stars and 5,697 forks.

    Trending score: 0.03; stars gained: +0; forks gained: +0.

    Language: Jupyter Notebook

    Topics: algorithmic-trading, artificial-intelligence, backtesting, data-science, deep-learning, finance