Showing 3 open source projects for "privacy"

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    dxos

    dxos

    TypeScript implementation of the DXOS protocols, SDK, toolchain

    DXOS is a decentralized operating system framework that empowers developers to build local-first, collaborative applications without relying on central servers. By providing a comprehensive SDK and toolchain, DXOS facilitates the creation of apps that prioritize user privacy, offline functionality, and seamless peer-to-peer synchronization. Its flagship application, Composer, exemplifies the platform's capabilities by enabling users to organize and sync knowledge across devices, with support for real-time collaboration and local AI processing.​
    Downloads: 2 This Week
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  • 2
    Visual Blocks

    Visual Blocks

    Visual Blocks for ML is a Google visual programming framework

    ...Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Doctor Dok

    Doctor Dok

    Doctor Dok is an AI based medical data framework

    Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data.
    Downloads: 0 This Week
    Last Update:
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