Showing 4 open source projects for "data capture framework"

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  • 1
    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity distribution, security risk control. ...
    Downloads: 7 This Week
    Last Update:
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  • 2
    Blinko

    Blinko

    An open-source, self-hosted personal AI note tool prioritizing privacy

    Blinko is a self-hosted, open-source personal AI note-taking and idea capture tool built primarily in TypeScript and designed to keep your data private and under your control. It allows users to quickly jot down fleeting thoughts, draft content, and organize ideas with Markdown support, making it easy to record insights as they happen. What sets Blinko apart is its AI-enhanced retrieval — users can search their notes using natural language queries and get relevant results instantly rather than relying solely on keyword matches. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    LLMFarm

    LLMFarm

    llama and other large language models on iOS and MacOS offline

    LLMFarm is a framework designed to simplify the deployment, management, and utilization of large language models in local or self-hosted environments, focusing on accessibility and efficient resource usage. It enables users to run LLMs on personal hardware or private infrastructure, reducing dependency on external APIs and improving data privacy. The system typically provides a user-friendly interface for loading models, configuring inference parameters, and interacting with them through chat or task-based workflows. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    ARKit + CoreLocation

    ARKit + CoreLocation

    Combines the high accuracy of AR with the scale of GPS data

    ARKit uses camera and motion data to map out the local world as you move around. CoreLocation uses wifi and GPS data to determine your global location, with a low degree of accuracy. ARKit + CoreLocation combines the high accuracy of AR with the scale of GPS data. The potential for combining these technologies is huge, with so many potential applications across many different areas. Allow items to be placed within the AR world using real-world coordinates. Dramatically improved location...
    Downloads: 0 This Week
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