Showing 3 open source projects for "complex"

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    OpenAI

    OpenAI

    Swift community driven package for OpenAI public API

    ...It also includes support for advanced features such as function calling, assistants, and tool integration through protocols like Model Context Protocol, enabling more complex and interactive AI workflows.
    Downloads: 11 This Week
    Last Update:
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  • 2
    Clicky

    Clicky

    AI teacher that lives as a buddy next to your cursor

    ...The system captures screenshots and combines them with voice input to send contextual queries to AI models, which then respond with both spoken explanations and on-screen visual pointers. One of its defining features is the ability to physically “point” at UI elements across multiple monitors using a cursor overlay, helping users navigate complex software step by step. The architecture includes integrations for speech-to-text, text-to-speech, and AI reasoning models, all routed securely through a proxy to protect API keys.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Zero to Mastery Deep Learning TensorFlow

    Zero to Mastery Deep Learning TensorFlow

    All course materials for the Zero to Mastery Deep Learning with TF

    This project is a comprehensive, code-first deep learning curriculum built around TensorFlow and Keras, designed to guide learners from foundational concepts to practical model deployment through hands-on experimentation. It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. The material covers core machine learning workflows including regression, classification, computer vision, natural language processing, and time series forecasting, allowing users to build a well-rounded understanding of modern AI tasks. ...
    Downloads: 0 This Week
    Last Update:
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