gpu-recommmendation-engine | GPU powered recommendation system

 by   helianbobo Java Version: Current License: No License

kandi X-RAY | gpu-recommmendation-engine Summary

kandi X-RAY | gpu-recommmendation-engine Summary

gpu-recommmendation-engine is a Java library. gpu-recommmendation-engine has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This file was created by IntelliJ IDEA 10.5.2 for binding GitHub repository.

            kandi-support Support

              gpu-recommmendation-engine has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              gpu-recommmendation-engine has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gpu-recommmendation-engine is current.

            kandi-Quality Quality

              gpu-recommmendation-engine has no bugs reported.

            kandi-Security Security

              gpu-recommmendation-engine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

            kandi-Reuse Reuse

              gpu-recommmendation-engine 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 gpu-recommmendation-engine and discovered the below as its top functions. This is intended to give you an instant insight into gpu-recommmendation-engine implemented functionality, and help decide if they suit your requirements.
            • Performs a factorization
            • Run the kernel based on the number of features
            • Finds the exe size
            • Calculate the average rating for a specific item
            • Converts a feature matrix to a matrix
            • Main launcher
            • Performs the kernel computation
            • Initializes the instructions array
            • Initializes the array with the specified size
            • Initialize a set
            • Creates a 64 - bit hash
            • Generate 64 - bit hash
            • MurmurHashHash algorithm
            • Run the kernel
            • Binary search A
            • Determines whether a value contains a given number
            • Hash two sets
            • Calculate the kernel
            Get all kandi verified functions for this library.

            gpu-recommmendation-engine Key Features

            No Key Features are available at this moment for gpu-recommmendation-engine.

            gpu-recommmendation-engine Examples and Code Snippets

            No Code Snippets are available at this moment for gpu-recommmendation-engine.

            Community Discussions

            No Community Discussions are available at this moment for gpu-recommmendation-engine.Refer to stack overflow page for discussions.

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


            No vulnerabilities reported

            Install gpu-recommmendation-engine

            You can download it from GitHub.
            You can use gpu-recommmendation-engine like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the gpu-recommmendation-engine component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            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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            gh repo clone helianbobo/gpu-recommmendation-engine

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