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

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Learn how to design, develop, deploy and iterate on production-grade ML applications.

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🔊 Text-Prompted Generative Audio Model

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Python programs, usually short, of considerable difficulty, to perfect particular skills.

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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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100-Days-Of-ML-Code中文版

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Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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PRML algorithms implemented in Python

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Practice your pandas skills!

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An open-source, low-code machine learning library in Python

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Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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The "Python Machine Learning (2nd edition)" book code repository and info resource

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Data Science Using Python

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骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

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📈 如何用深度强化学习自动炒股

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Open Content for self-directed learning in data science

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The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

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Machine learning lessons and teaching projects designed for engineers

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Python API for Deequ

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Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

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Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

Jupyter Notebook 635 299 Updated Dec 17, 2023

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Jupyter Notebook 317 53 Updated Jan 29, 2025