Showing 4 open source projects for "data quality cleansing"

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  • 1
    Kotlin Dataframe

    Kotlin Dataframe

    Structured data processing in Kotlin

    ...The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data wrangling which is the process of transforming and mapping data from one "raw" data form into another format that is more appropriate for analytics and visualization. The goal of data wrangling is to assure quality and useful data.
    Downloads: 10 This Week
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  • 2
    OPENRNDR

    OPENRNDR

    Kotlin library for creative coding, real-time and interactive graphics

    ...OPENRNDR provides simple, reusable utilities with which creative coders can build robust, fast, and reliable (interactive) applications for prototyping as well as building production-quality software. With ORML you can easily connect to a number of widely used Machine Learning models, such as Facemesh, Posenet, and Stylegan. You can use OPENRNDR to visualize the data coming from these models in order to create compelling (interactive) experiences. The ORML library includes both models and interface code to make the use of those models simple. ...
    Downloads: 0 This Week
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  • 3
    Hoodland Toolbox

    Hoodland Toolbox

    An assorted miscellany of tools and toys.

    Hoodland Toolbox (formerly known as the Rockabilly Common Libraries) An assorted miscellany of tools and toys used by all other Hoodland Open Source Projects (formerly Rockabilly Software). This project has been rewritten in Kotlin for the JVM. Its new home is here: https://github.com/william-hood/toolbox-kotlin Available in Maven Central Repository... Kotlin: https://central.sonatype.com/artifact/io.github.william-hood/toolbox-kotlin Java:...
    Downloads: 0 This Week
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  • 4
    Lingua

    Lingua

    The most accurate natural language detection library for Java

    Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages.
    Downloads: 0 This Week
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