Showing 5 open source projects for "segmentation"

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    ZhParser

    ZhParser

    PostgreSQL extension for full-text search of Chinese language

    zhparser is a PostgreSQL extension for full-text search of Chinese text. It integrates with PostgreSQL's text search engine to tokenize Chinese characters using a dictionary-based segmentation algorithm. zhparser is a valuable tool for improving search accuracy and performance in Chinese-language applications.
    Downloads: 0 This Week
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  • 2
    BaikalDB

    BaikalDB

    BaikalDB, A Distributed HTAP Database

    ...In a typical scenario, hundreds of millions of rows can be scanned and aggregated in few seconds. BaikalDB also supports full-text search by building inverted indices after word segmentation. Users can harness the fuzzy search features simply by adding a FULLTEXT KEY type index when creating tables.
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  • 3
    covid-chestxray-dataset

    covid-chestxray-dataset

    We are building an open database of COVID-19 cases with chest X-ray

    To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help...
    Downloads: 0 This Week
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  • 4
    SGSS is a database application for managing persons belonging to NGOs. It takes care of money, activies, knowledge, etc. It can also be used for mailings, market segmentation, ... It's 100% Java and multiplatform.
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  • 5
    A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).
    Downloads: 0 This Week
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