relay-bench | A repository containing examples and benchmarks for Relay

 by   uwsampl Python Version: Current License: Apache-2.0

kandi X-RAY | relay-bench Summary

kandi X-RAY | relay-bench Summary

relay-bench is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. relay-bench has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A repository containing examples and benchmarks for Relay.
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            kandi-support Support

              relay-bench has a low active ecosystem.
              It has 7 star(s) with 4 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 2 have been closed. On average issues are closed in 210 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of relay-bench is current.

            kandi-Quality Quality

              relay-bench has no bugs reported.

            kandi-Security Security

              relay-bench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              relay-bench is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              relay-bench releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed relay-bench and discovered the below as its top functions. This is intended to give you an instant insight into relay-bench implemented functionality, and help decide if they suit your requirements.
            • Run all experiments
            • Check file existence
            • Make a directory
            • Analyze an experiment
            • Convenience wrapper for the Activenet V1
            • Builds a convolutional network
            • Returns the kernel size for small input
            • Generate comparisons for a given config
            • Traverses all the fields of the entry
            • Generate relative comparisons between sorted data
            • Make the plot from the data
            • Apply filter to data
            • Create a directory
            • Creates a bar plot from data
            • Make a plot of data
            • Generate similarity plot
            • Bottleneck bottleneck block
            • Generate a summary
            • Build a block of input
            • Recursively traverses the entries in an entry
            • Setup treelSTM
            • Compute the model
            • Generate comparisons for longitudinal comparisons
            • Validate a template
            • Generate a summary of trials
            • Common comparison between two models
            • Creates a generator for resnet v2
            • Validate configuration
            • Creates a vocabulary from the given data
            Get all kandi verified functions for this library.

            relay-bench Key Features

            No Key Features are available at this moment for relay-bench.

            relay-bench Examples and Code Snippets

            No Code Snippets are available at this moment for relay-bench.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install relay-bench

            You can download it from GitHub.
            You can use relay-bench 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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          • HTTPS

            https://github.com/uwsampl/relay-bench.git

          • CLI

            gh repo clone uwsampl/relay-bench

          • sshUrl

            git@github.com:uwsampl/relay-bench.git

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