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17 stars written in Jupyter Notebook
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🦜🔗 Build context-aware reasoning applications

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12 Weeks, 24 Lessons, AI for All!

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《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

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《Python Cookbook》 3rd Edition Translation

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TensorFlow Tutorials with YouTube Videos

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LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt,Language of GPT, 结构化提示词,结构化Prompt

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Examples and guides for using the Gemini API

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Book about interpretable machine learning

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pandas中文教程

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felixge's notes on the various go profiling methods that are available.

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Home for Elasticsearch examples available to everyone. It's a great way to get started.

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Collection of useful notebooks and snippets

Jupyter Notebook 1,516 635 Updated Mar 11, 2018

推荐系统入门指南,全面介绍了工业级推荐系统的理论知识(王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统),如何基于TensorFlow2训练模型,如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …

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