4 projects for "android virtual device" with 2 filters applied:

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    Google AI Edge Gallery

    Google AI Edge Gallery

    A gallery that showcases on-device ML/GenAI use cases

    Gallery is a curated collection of on-device machine learning examples, demo apps, and model artifacts designed to help developers experiment with and deploy ML at the edge. The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid...
    Downloads: 470 This Week
    Last Update:
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  • 2
    Vosk Speech Recognition Toolkit

    Vosk Speech Recognition Toolkit

    Offline speech recognition API for Android, iOS, Raspberry Pi

    ...Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. It can also create subtitles for movies, and transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphones to big clusters.
    Downloads: 104 This Week
    Last Update:
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  • 3
    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    ...MNN Workbench could be downloaded from MNN's homepage, which provides pretrained models, visualized training tools, and one-click deployment of models to devices. Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. Currently supports CPU and GPU.
    Downloads: 9 This Week
    Last Update:
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  • 4
    Face Detector

    Face Detector

    Detect faces in real time

    This Face Detector app can able to detect multiple faces from images in Real-time or from any images that placed in device's storage. In Real-time detection mode user have to give permission to this app to access device camera and voice recorder. In Gallery mode user have to select images from external storage, then it can able to detect the actual faces. This is very short and simple AI based project that can runs on Firebase ML kit API and Google play vision API. This is completely free...
    Downloads: 0 This Week
    Last Update:
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