teaching

 by   DSLituiev Jupyter Notebook Version: Current License: No License

kandi X-RAY | teaching Summary

kandi X-RAY | teaching Summary

teaching is a Jupyter Notebook library. teaching has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

teaching
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              teaching has a low active ecosystem.
              It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              teaching has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of teaching is current.

            kandi-Quality Quality

              teaching has no bugs reported.

            kandi-Security Security

              teaching has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              teaching 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

              teaching releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of teaching
            Get all kandi verified functions for this library.

            teaching Key Features

            No Key Features are available at this moment for teaching.

            teaching Examples and Code Snippets

            Recursively reduce all input tensors .
            pythondot img1Lines of Code : 52dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def build_recursive_hd_all_reduce(input_tensors, red_op, un_op=None):
              """Construct a subgraph for recursive halving-doubling all-reduce.
            
              The recursive halving-doubling algorithm is described in
              (Thakur et al., 2015).
            
              The concept is to arran  
            Run command .
            pythondot img2Lines of Code : 2dot img2License : Permissive (MIT License)
            copy iconCopy
            def _run_cmd(cmd, cwd=None):
                check_call(cmd.split(), cwd=cwd)  

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install teaching

            You can download it from GitHub.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/DSLituiev/teaching.git

          • CLI

            gh repo clone DSLituiev/teaching

          • sshUrl

            git@github.com:DSLituiev/teaching.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link