🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
GitHub repository with 452 stars and 64 forks.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, cnn, data-science, deep-learning, jupyter-notebook, keras, machine-learning, neural-network, python
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2026-06-05: 452 stars and 64 forks.
Google Research
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Language: Jupyter Notebook
Topics: machine-learning, ai, research
An open, large-scale, interactive textbook.
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Topics: ai, computer-science, edcuational, learning-resources, data-science, deep-learning
A hands-on course for building modern LLMs from scratch in PyTorch, with 23 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
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Language: Jupyter Notebook
Topics: ai, attention, finetune, gpt, large-language-models, llm
Agri-Vision is an AI-powered cotton crop analysis system that uses deep learning and computer vision to detect growth stages, identify crop health issues, and provide smart recommendations through a Flask-based web interface and REST API.
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Trending score: 0.33; stars gained: -1; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, gssoc-26, jupyter-notebook, python
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
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Language: Jupyter Notebook
Topics: data-science, python, data, data-visualization, data-analysis, jupyter
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
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Language: Jupyter Notebook
Topics: agent, agentic, agentic-ai, agents, ai, langchain
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
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Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
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Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
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Examples and guides for using the OpenAI API
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Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
The agent that grows with you
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Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
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Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Learn it. Build it. Ship it for others.
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Language: TypeScript
Topics: ai, crawler, markdown, scraper, html-to-markdown, llm
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Topics: ai, dashboard, geopolitics, monitoring, news, opensource