DeepCoNN | This is our implementation of DeepCoNN | Machine Learning library

 by   chenchongthu Python Version: Current License: No License

kandi X-RAY | DeepCoNN Summary

kandi X-RAY | DeepCoNN Summary

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

This is our implementation for the paper:. 1、DeepCoNN: This is the state-of-the-art method that uti-lizes deep learning technology to jointly model user and itemfrom textual reviews. 2、DeepCoNN++: We extend DeepCoNN by changing its share layer from FM to our neural prediction layer.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              DeepCoNN has a low active ecosystem.
              It has 145 star(s) with 64 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 15 open issues and 5 have been closed. On average issues are closed in 3 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DeepCoNN is current.

            kandi-Quality Quality

              DeepCoNN has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              DeepCoNN 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

              DeepCoNN releases are not available. You will need to build from source code and install.
              DeepCoNN has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              DeepCoNN saves you 374 person hours of effort in developing the same functionality from scratch.
              It has 891 lines of code, 16 functions and 6 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DeepCoNN and discovered the below as its top functions. This is intended to give you an instant insight into DeepCoNN implemented functionality, and help decide if they suit your requirements.
            • Initialize the model .
            • Load training data .
            • Prepare and preprocess the data .
            • Pads a list of sentences to a given length .
            • Build the vocabulary .
            • Run dev step .
            • Clean a string .
            • Train a single training step .
            • Return batches of data .
            • Build input data .
            Get all kandi verified functions for this library.

            DeepCoNN Key Features

            No Key Features are available at this moment for DeepCoNN.

            DeepCoNN Examples and Code Snippets

            No Code Snippets are available at this moment for DeepCoNN.

            Community Discussions

            QUESTION

            How to transfer the following tensorflow code into pytorch
            Asked 2019-Mar-21 at 16:11

            I want to re-implement the word embedding here

            here is the original tensorflow code (version: 0.12.1)

            ...

            ANSWER

            Answered 2019-Mar-15 at 23:16

            The pytorch equivalent of the tensorflow part of the code will be, explained with comments in the code itself, you have to import truncnorm from scipy.

            Source https://stackoverflow.com/questions/55133700

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

            Vulnerabilities

            No vulnerabilities reported

            Install DeepCoNN

            You can download it from GitHub.
            You can use DeepCoNN 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 .
            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/chenchongthu/DeepCoNN.git

          • CLI

            gh repo clone chenchongthu/DeepCoNN

          • sshUrl

            git@github.com:chenchongthu/DeepCoNN.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

            Consider Popular Machine Learning Libraries

            tensorflow

            by tensorflow

            youtube-dl

            by ytdl-org

            models

            by tensorflow

            pytorch

            by pytorch

            keras

            by keras-team

            Try Top Libraries by chenchongthu

            ENMF

            by chenchongthuPython

            NARRE

            by chenchongthuPython

            EHCF

            by chenchongthuPython

            SAMN

            by chenchongthuPython

            ENSFM

            by chenchongthuPython