Search Results for "prom-framework"
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Showing 6 open source projects for "prom-framework"
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TNN
Uniform deep learning inference framework for mobile
...On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework. -
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Devanagari OCR
Devanagari Optical Character Recognition, Annotation tool
...The UI also enables users to view the word and character level ground truth of images. To cite this work, please use: "Devanagari OCR using a recognition driven segmentation framework and stochastic language models", Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju, IJDAR, 2009, Volume: 12, Pg.: 123–138 -
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Smart Grid Co-Simulator
Windows code with Omnet++ and OpenDSS simulator
...We have resolved a synchronisation problem between already existing communication and power networks simulators. This is done through a software interface between the communication and power networks simulators. We have tested our co-simulation framework with a renewable energy integration application. * This work was partly supported by an Open Collaborative Research (OCR) project from IBM. The authors are thankful to Deva Seetharam, Koushik Das and their team at IBM, for their valuable suggestions and comments. -
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Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
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TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph
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Conjecture is a modular, extensible, open-source C++ framework for Optical Character Recognition (OCR). It is not a single OCR, but rather an extensible collection of OCRs that can be explored, compared, extended and modified within a unified environment
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