Shypd.aiThe largest open index of AI toolsml-powered-applications is an open-source companion repository for the book 'Building Machine Learning Powered Applications'. It provides Jupyter notebooks and a library with core functions to illustrate ML concepts and build a writing assistant.
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ml-powered-applications serves as the official companion code repository for the O'Reilly book 'Building Machine Learning Powered Applications'. This open-source project offers a practical resource for software developers and machine learning engineers looking to understand and implement ML-powered applications. The repository includes a comprehensive set of Jupyter notebooks that illustrate key concepts covered in the book, a Python library (`ml_editor`) containing core functions for a Machine Learning-driven writing assistant case study, and a Flask application demonstrating how to serve ML results to users. It supports Python 3.6 and 3.7, with setup instructions for virtual environments and necessary package downloads (spaCy, NLTK).
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