Showing 5 open source projects for "artificial intelligence personal assistant python"

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  • 1
    STORM

    STORM

    An LLM-powered knowledge curation system that researches topics

    STORM is an open-source virtual assistant framework developed by Stanford's OVAL lab. It is designed for creating natural language interfaces and assistants that can interact with APIs, databases, and services in a modular way.
    Downloads: 6 This Week
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  • 2
    Chinese-LLaMA-Alpaca 2

    Chinese-LLaMA-Alpaca 2

    Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project

    This project is developed based on the commercially available large model Llama-2 released by Meta. It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of...
    Downloads: 0 This Week
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  • 3
    PyResParser

    PyResParser

    A simple resume parser used for extracting information from resumes

    PyResParser is a simple resume parser that extracts information from resumes, aiding in the automation of resume-processing tasks.
    Downloads: 0 This Week
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  • 4
    AIVA (A.I. Virtual Assistant)

    AIVA (A.I. Virtual Assistant)

    AIVA (A.I. Virtual Assistant): General-purpose virtual assistant

    AIVA is a general-purpose virtual assistant designed for developers, enabling the creation of customizable AI assistants for various applications.
    Downloads: 0 This Week
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  • 5

    English-Khmer S. Machine Translation

    English-Khmer Automatic Statistic Machine Translation (SMT)

    Automatic Machine Translation from English to Khmer project is the first effort in Natural Language Processing field for translating English to Khmer (Cambodian) language. This project uses Domy CE, an open source SMT toolkit, for training parallel corpus and web technologies such as Python, Apache2, HTML, XML, and XSLT for developing web-based application. This project is developed by Ms. Kim Sokphyrum (DU) and Ms. Suos Samak (Jamia), under Supervision of Mr. Javier Sola, a Program...
    Downloads: 0 This Week
    Last Update:
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