Showing 4 open source projects for "android ai"

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  • 1
    e2e

    e2e

    Next generation e2e testing framework for web and mobile apps

    ...Agent actions that lead to verified results are recorded and replayed on later runs without additional model calls unless the application changes. Its web engine supports Chromium, Firefox, and WebKit through Playwright. Mobile testing targets iOS simulators and Android emulators, with hosted execution options also available. Developers can bring their own AI subscription, API key, or local model. The framework also includes a CLI, GitHub reporting, offline documentation, and extensible execution packages.
    Downloads: 2 This Week
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  • 2
    Astro Stardrive Boilerplate

    Astro Stardrive Boilerplate

    The Astro boilerplate to create super stable websites even faster

    Stardrive is a batteries-included Astro boilerplate built for the AI age. It skips the first 36 steps of creating a high-class website, giving you a fast, secure, accessible, and SEO-optimized foundation without reinventing the wheel. What makes it special: it is LLM-friendly by design, with dedicated AI guidance files so coding assistants immediately understand the project. It also prepares your site for WebMCP, auto-populates an llms.txt, and generates Schema.org structured data...
    Downloads: 1 This Week
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  • 3
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster.
    Downloads: 0 This Week
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  • 4
    TNN

    TNN

    Uniform deep learning inference framework for mobile

    TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's...
    Downloads: 0 This Week
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