Showing 4 open source projects for "data analysis"

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  • 1
    Pix2Text

    Pix2Text

    Open-Source Python3 tool for recognizing layouts, tables, and math

    An Open-Source Python3 tool for recognizing layouts, tables, math formulas, and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported. Pix2Text (P2T) aims to be a free and open-source Python alternative to Mathpix, and it can already accomplish Mathpix's core functionality. Pix2Text (P2T) can recognize layouts, tables, images, text, and mathematical...
    Downloads: 6 This Week
    Last Update:
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  • 2
    R Markdown Cookbook

    R Markdown Cookbook

    R Markdown Cookbook

    R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown. R Markdown is a powerful tool for combining analysis and reporting into the same document. Since the birth of the rmarkdown package (Allaire, Xie, Dervieux, McPherson, et al. 2023) in early 2014, R Markdown has grown substantially from a package that supports a few output formats, to an extensive and diverse ecosystem that supports the creation of books, blogs, scientific articles, websites, and even resumes.
    Downloads: 0 This Week
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  • 3
    MathOCR

    MathOCR

    A scientific document recognition system

    MathOCR is a printed scientific document recognition system. MathOCR is still in the pre-alpha stage, recognition result may not be good enough for practical purposes. MathOCR is a printed scientific document recognition system written in pure Java. MathOCR has the functionality of image preprocessing, layout analysis and character recognition, especially the ability to recognize mathematical expression. MathOCR can work do not depends on other OCR software.
    Downloads: 0 This Week
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  • 4
    Analysis TeX
    Hier wird die Versionsverwaltung (SVN) für die LaTeX-Mitschrift der Vorlesung "Analysis für Informatiker und Statistiker" gehostet. Diese findet im WS 2009/2010 an der LMU München statt.
    Downloads: 0 This Week
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