Showing 6 open source projects for "documents"

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  • 1
    text-dedup

    text-dedup

    All-in-one text de-duplication

    text-dedup is a Python library that enables efficient deduplication of large text corpora by using MinHash and other probabilistic techniques to detect near-duplicate content. This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible deduplication strategies, making it ideal for cleaning web-scraped data, language model training datasets, or document archives.
    Downloads: 0 This Week
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  • 2
    PySchool

    PySchool

    Installable / Portable Python Distribution for Everyone.

    PySchool is a free and open-source Python distribution intended primarily for students who learn Python and data analysis, but it can also used by scientists, engineering, and data scientists. It includes more than 150 Python packages (full edition) including numpy, pandas, scipy, sympy, keras, scikit-learn, matplotlib, seaborn, beautifulsoup4...
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    Downloads: 1,514 This Week
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  • 3
    Create, check, annotate, merge, diff, split SBML (System Biology Markup Lanugage) documents. The latest version of semanticSBML is webbased with a RESTful interface.
    Downloads: 0 This Week
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  • 4
    Spire is a print stream converter/manipulator. It can transform print streams from Metacode to Postscript, Postscript to Metacode. PCL support will be added soon. Spire is also capable of sorting documents (think postal sortation) and added barcodes.
    Downloads: 0 This Week
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    The AI workplace management platform

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  • 5
    Mainly a browser for medical patients documents. For now, it works for displaying radiology images in DICOM format. It supports Query/Retrieve. Build on Python, wxPython and ZODB.
    Downloads: 0 This Week
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  • 6
    Utilities for managing images of documents and their summaries produced during the discovery process for litigation.
    Downloads: 0 This Week
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