Showing 2 open source projects for "machine learning workloads"

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    Zerox OCR

    Zerox OCR

    PDF to Markdown with vision models

    A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense. ZeroX is an open-source machine learning framework designed for fast experimentation and production deployment, optimized for speed and ease of use.
    Downloads: 1 This Week
    Last Update:
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  • 2
    anydoc

    anydoc

    Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV

    ...The converter preserves headings, formatting, links, lists, tables, notes, footnotes, internal references, and embedded asset metadata. Content-based detection identifies most formats from their bytes, even when filenames or extensions are incorrect. The core runs locally without machine-learning models or external services and typically converts documents in milliseconds. Developers can use it through Rust, Node.js, Python, browser WebAssembly, or a command-line interface. It also ships as an Agent Skill so compatible coding agents can read mixed office documents.
    Downloads: 7 This Week
    Last Update:
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