Showing 2 open source projects for "machine learning projects"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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: 7 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: 34 This Week
    Last Update:
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