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This is the place for feedback regarding decker and all its components. Please feel free to use the issue tracker of this project.
If possible please include: Detailed problem description, Screenshots and code snippets that caused the problem.
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Pixel classifier based on convolutional neural nets for segmenting historic prints. Automatically mirrored to https://github.com/ocr-d-modul-2-segmentierung/page-segmentation Please use the issue tracker on Github.
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An add-on for the Library for Resource Demand Estimation (LibReDE), in order to enrich the estimation with self-aware learning and optimization capabilities. SARDE: Self-Aware Resource Demand Estimation
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A library for resource demand estimation (LibReDE).
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This is the right place to leave feedback about the DZ.PTM prototypes. Just create an issue on the issue tracker. You can find the iPhone prototype here: https://y3rgd8.axshare.com
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Contains code for training a model that extracts anamnesis and question parts of clinical orders. No data included, only scripts
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