Search Results for "open-shell" - Page 5
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Showing 115 open source projects for "open-shell"
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Waygoer is an OCR program. It is based on contour extraction and momentum transformations. This allows for rotation- and scale-invariant recognition. Waygoer is still at an early stage of development.
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A Neural network based, handwriting recognition software who's aim is to have a cursive OCR software. Although it is used in handwriting recognition, it can be used as well for creating Neural Networks and learning of those networks.
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Got any emails with obnoxious inline text? Long text stories with bad formatting? Files that an OCR didn't quite translate right? RTF format files and no easy way to read or modify them? Then eBookFormatter is for you!
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An omnifont OCR software for KDE. Due to the fact that each step of the OCR process can be visualized you can get a quick idea of how OCR works and where the problems lie. However the program may be of minor/no use for end users in its current state.
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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XWA Scores is an OCR dedicated to the game "XWing Alliance". It's main goal is to convert the scores from a screen capture.
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It's a tool who shows the concepts of a type of neuronal networks (multi-layers percetron). It's not a real ocr, it's just a little didactical application.
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OpenOCR will be a commercial quality ocr engine with tools for pre- and post-processing of images and resulting text.
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When translating becomes a game ! Text to translate can be graphically selected. Several dictionnaries can be sorted according to the context. A large choice of matching strategies is available. The OCR engine is tunable.
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It's a dumb, but lightning fast OCR engine, not using any fancy math to recognize text from screenshots. Aim to recognize 100% of text from screenshot, even if image is affected by jpeg compression or text is affected by antialiasing.
