QRec | Python Framework for quick implementation | Recommender System library

 by   Coder-Yu Python Version: Current License: No License

kandi X-RAY | QRec Summary

kandi X-RAY | QRec Summary

QRec is a Python library typically used in Artificial Intelligence, Recommender System, Deep Learning, Tensorflow applications. QRec has no bugs, it has no vulnerabilities and it has medium support. However QRec build file is not available. You can download it from GitHub.

QRec is a Python framework for recommender systems (Supported by Python 2.7.x and Tensorflow 1.14+) in which a number of influential and newly state-of-the-art recommendation models are implemented. QRec has a lightweight architecture and provides user-friendly interfaces. It can facilitate model implementation and evaluation. Founder and principal contributor: @Coder-Yu Other Contributors: @DouTong @Niki666 @HuXiLiFeng @BigPowerZ @flyxu Supporter: @AIhongzhi (A/Prof. Hongzhi Yin, UQ), @mingaoo (A/Prof. Min Gao, CQU).
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              QRec has a medium active ecosystem.
              It has 1416 star(s) with 399 fork(s). There are 70 watchers for this library.
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              It had no major release in the last 6 months.
              There are 0 open issues and 127 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of QRec is current.

            kandi-Quality Quality

              QRec has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

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              QRec releases are not available. You will need to build from source code and install.
              QRec has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed QRec and discovered the below as its top functions. This is intended to give you an instant insight into QRec implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Check if the recommender has converged
            • Calculate the performance of each user
            • Predict the value for a given item
            • Build a collaborative user network
            • Builds the graph
            • Calculate the softmax noise
            • Calculates the logits of the given vec
            • Execute the evaluation
            • Cross validation
            • Compute similarity matrix
            • Train the model
            • Load ratings from file
            • Builds the adjacency matrix of the model
            • Execute the run
            • Train the GAN model
            • Calculate ranking
            • Predict the rating for item i
            • Load social data
            • Predict the prediction for a user
            • Predict the prediction for a given user
            • Calculate theta
            • Predictions for a given user
            • Predicts a user for a given user
            • Computes the similarity between each item
            • Solve a batch of data
            Get all kandi verified functions for this library.

            QRec Key Features

            No Key Features are available at this moment for QRec.

            QRec Examples and Code Snippets

            No Code Snippets are available at this moment for QRec.

            Community Discussions

            QUESTION

            QML move inside zoomed charts with Middle button
            Asked 2021-Jan-30 at 22:26

            I'm working with QML Charts. I have now a plot :

            ...

            ANSWER

            Answered 2021-Jan-30 at 22:26

            you can use 2 params :

            Source https://stackoverflow.com/questions/65704300

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

            Vulnerabilities

            No vulnerabilities reported

            Install QRec

            You can download it from GitHub.
            You can use QRec 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/Coder-Yu/QRec.git

          • CLI

            gh repo clone Coder-Yu/QRec

          • sshUrl

            git@github.com:Coder-Yu/QRec.git

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