Showing 5 open source projects for "android ai"

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    Demo Series - Small Business Backup By Veeam

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  • 1
    dracxterm

    dracxterm

    An Android terminal that runs Linux without root, with an AI assistant

    dracxterm is a terminal for Android. Open it and a shell is waiting. If you want a full Linux, the app installs Debian 13 or Kali inside its own storage, and you work as you would on a computer. The phone does not need root, and there is no account to create. Version 1.1.0 adds claw, an assistant you chat with in the terminal. It uses free model services that need no account, and you choose what it may touch on the AI (claw) page in xset.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Abscom

    Abscom

    A C11 library of reusable data structures and platform utilities.

    Abscom bundles low-level building blocks — dynamic arrays, growable strings, hash functions, an open-addressing hash map, timing helpers, and simple file I/O — under a single umbrella header. On top of that it ships a Python-inspired dynamic runtime that brings var values, lists, dictionaries, sets, JSON, random utilities, and a light object system to plain C, plus a scientific layer with matrices, statistics, general math (scalar utilities, number theory, geometry, complex numbers), CSV,...
    Downloads: 0 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
    Last Update:
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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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    MongoDB Atlas runs apps anywhere

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  • 5
    nunn

    nunn

    This is an implementation of a machine learning library in C++17

    nunn is a collection of ML algorithms and related examples written in modern C++17.
    Downloads: 1 This Week
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