dl-deploy | Deep Learning Model Deployment

 by   BSlience Python Version: Current License: No License

kandi X-RAY | dl-deploy Summary

kandi X-RAY | dl-deploy Summary

dl-deploy is a Python library. dl-deploy has no bugs, it has no vulnerabilities and it has low support. However dl-deploy build file is not available. You can download it from GitHub.

Deep Learning Model Deployment
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              dl-deploy has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              dl-deploy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dl-deploy is current.

            kandi-Quality Quality

              dl-deploy has 0 bugs and 0 code smells.

            kandi-Security Security

              dl-deploy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              dl-deploy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              dl-deploy does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              dl-deploy releases are not available. You will need to build from source code and install.
              dl-deploy has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 75 lines of code, 6 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dl-deploy and discovered the below as its top functions. This is intended to give you an instant insight into dl-deploy implemented functionality, and help decide if they suit your requirements.
            • Predict class classification .
            • Initialize the model .
            • Compute the BERT output .
            • Get the model .
            Get all kandi verified functions for this library.

            dl-deploy Key Features

            No Key Features are available at this moment for dl-deploy.

            dl-deploy Examples and Code Snippets

            No Code Snippets are available at this moment for dl-deploy.

            Community Discussions

            No Community Discussions are available at this moment for dl-deploy.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install dl-deploy

            You can download it from GitHub.
            You can use dl-deploy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/BSlience/dl-deploy.git

          • CLI

            gh repo clone BSlience/dl-deploy

          • sshUrl

            git@github.com:BSlience/dl-deploy.git

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