Handwritten-Optical-Character-Recognition | Responsive web app that can recognize handwritten

 by   Sagyam Jupyter Notebook Version: 1.0 License: GPL-3.0

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kandi X-RAY | Handwritten-Optical-Character-Recognition Summary

kandi X-RAY | Handwritten-Optical-Character-Recognition Summary

Handwritten-Optical-Character-Recognition is a Jupyter Notebook library. Handwritten-Optical-Character-Recognition has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Responsive web app that can recognize handwritten characters drawn on canvas and perform arithmetic calculation. inference is carried out on browser using TensorFlowJS.
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            kandi-support Support

              Handwritten-Optical-Character-Recognition has a low active ecosystem.
              It has 10 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              Handwritten-Optical-Character-Recognition has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Handwritten-Optical-Character-Recognition is 1.0

            kandi-Quality Quality

              Handwritten-Optical-Character-Recognition has no bugs reported.

            kandi-Security Security

              Handwritten-Optical-Character-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Handwritten-Optical-Character-Recognition is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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              Handwritten-Optical-Character-Recognition releases are available to install and integrate.

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            Handwritten-Optical-Character-Recognition Key Features

            No Key Features are available at this moment for Handwritten-Optical-Character-Recognition.

            Handwritten-Optical-Character-Recognition Examples and Code Snippets

            No Code Snippets are available at this moment for Handwritten-Optical-Character-Recognition.

            Community Discussions

            No Community Discussions are available at this moment for Handwritten-Optical-Character-Recognition.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Handwritten-Optical-Character-Recognition

            You can download it from GitHub.

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          • HTTPS

            https://github.com/Sagyam/Handwritten-Optical-Character-Recognition.git

          • CLI

            gh repo clone Sagyam/Handwritten-Optical-Character-Recognition

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            git@github.com:Sagyam/Handwritten-Optical-Character-Recognition.git

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