Showing 3 open source projects for "transparent"

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  • 1
    pdf-extractor

    pdf-extractor

    Node.js module for rendering pdf pages to images, svgs and HTML files

    ...Canvas exports *.png as a default but can be extended to export to other file types like .jpg. Pdf objects are converted to svg using the SVGGraphics parser of pdf.js. Pdf text is converted to HTML. This can be used as a (transparent) layer over the image to enable text selection. Pdf text is extracted to a text file for different usages (e.g. indexing the text). This library is in it's most basic form a node.js wrapper for pdf.js. It has default renderers to generate a default output, but is easily extended to incorporate custom logic or to generate different output. ...
    Downloads: 2 This Week
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  • 2
    Emb-GAM

    Emb-GAM

    An interpretable and efficient predictor using pre-trained models

    ...In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for each input before learning a linear model in the embedding space. The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability.
    Downloads: 0 This Week
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  • 3
    Finetune Transformer LM

    Finetune Transformer LM

    Code for "Improving Language Understanding by Generative Pre-Training"

    ...It documents that runs are non-deterministic due to certain GPU operations and reports a median accuracy over multiple trials that is slightly below the single-run result in the paper, reflecting expected variance in practice. The project ships lightweight training, data, and analysis scripts, keeping the footprint small while making the experimental pipeline transparent. It is provided as archived, research-grade code intended for replication and study rather than continuous development.
    Downloads: 0 This Week
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