Showing 3 open source projects for "stitch"

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    Instill Core

    Instill Core

    Instill Core is a full-stack AI infrastructure tool for data

    Instill Core is an open-source, full-stack AI infrastructure platform designed to orchestrate data pipelines, machine learning models, and unstructured data processing into a unified, production-ready system. It provides an end-to-end solution that enables developers to build, deploy, and manage AI-powered applications without needing to manually stitch together multiple tools across the data and model lifecycle. The platform focuses heavily on handling unstructured data such as documents, images, audio, and video, transforming them into AI-ready formats through integrated ETL pipelines and processing workflows. Instill Core includes modular components such as pipelines, artifacts, and model services, which work together to enable flexible and scalable AI system design. ...
    Downloads: 0 This Week
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    lightning AI

    lightning AI

    The most intuitive, flexible, way for researchers to build models

    ...Build models and build/publish end-to-end ML workflows that "glue" your favorite tools together. Models are “easy”, the “glue” work is hard. Lightning Apps are community-built templates that stitch together your favorite ML lifecycle tools into cohesive ML workflows that can run on your laptop or any cluster. Find templates (Lightning Apps), modify them and publish your own. Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. ...
    Downloads: 1 This Week
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  • 3
    DocStrange

    DocStrange

    Extract and convert data from any document, images, pdfs, word doc

    ...Developed by Nanonets, the project combines OCR, layout detection, table understanding, and structured extraction into one end-to-end pipeline, which reduces the need to stitch together multiple separate services. It is built for developers who need high-quality parsing from scans, photos, PDFs, office files, and other document sources while preserving privacy and control over the processing flow. One of its key differentiators is deployment flexibility: it offers a cloud API for managed usage as well as a fully private offline mode that runs locally on a GPU. ...
    Downloads: 0 This Week
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