Showing 5 open source projects for "java personal assistant"

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  • 1
    Operit AI

    Operit AI

    Powerful Android AI agent with tools, automation, and Linux shell

    Operit is a full-featured AI assistant and agent platform designed specifically for Android devices, aiming to go far beyond traditional chat-based interfaces. It integrates deep system-level capabilities with a wide range of tools, allowing the AI to perform real tasks such as file management, automation, and system control directly on the device. A standout aspect of the project is its built-in Ubuntu 24 environment, which enables users to run Linux commands, scripts, and development tools...
    Downloads: 25 This Week
    Last Update:
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  • 2
    CatBoost

    CatBoost

    High-performance library for gradient boosting on decision trees

    CatBoost is a fast, high-performance open source library for gradient boosting on decision trees. It is a machine learning method with plenty of applications, including ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. CatBoost offers superior performance over other GBDT libraries on many datasets, and has several superb features. It has best in class prediction speed, supports both numerical and categorical features, has a fast and scalable GPU version, and readily comes with visualization tools. CatBoost was developed by Yandex and is used in various areas including search, self-driving cars, personal assistance, weather prediction and more.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Voice interface to drive your operating system
    Downloads: 0 This Week
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  • 4
    This proyect will be many things. It will be not only a software program; but also your assistant and maybe your friend. You should be able to speak with her, ask her for advice, or ask her to do your homework.It will be a powerful OS such as Linux but fr
    Downloads: 0 This Week
    Last Update:
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  • 5
    kombinatoriC delta library

    kombinatoriC delta library

    CAS Algorithms embeded as libraries.

    Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal. As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository. The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration.
    Downloads: 0 This Week
    Last Update:
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