NLP-Project | small projects I did in the process | Natural Language Processing library

 by   shawroad Python Version: Current License: No License

kandi X-RAY | NLP-Project Summary

kandi X-RAY | NLP-Project Summary

NLP-Project is a Python library typically used in Artificial Intelligence, Natural Language Processing, Tensorflow applications. NLP-Project has no bugs, it has no vulnerabilities and it has low support. However NLP-Project build file is not available. You can download it from GitHub.

Here I sort out some small projects I did in the process of learning NLP.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              NLP-Project has a low active ecosystem.
              It has 19 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 437 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NLP-Project is current.

            kandi-Quality Quality

              NLP-Project has no bugs reported.

            kandi-Security Security

              NLP-Project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              NLP-Project 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

              NLP-Project releases are not available. You will need to build from source code and install.
              NLP-Project 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 NLP-Project and discovered the below as its top functions. This is intended to give you an instant insight into NLP-Project implemented functionality, and help decide if they suit your requirements.
            • Run training epoch
            • Generate next batch
            • Run a single training step
            • Run inference step
            • Load labeled data
            • Get stopword list
            • Convert a sentence to list
            • Returns a list of words in seg_list
            • Returns a list of words in the list
            • Get cluster data
            • Get batches of source and target size
            • Generate data based on word2id
            • Build the model
            • Build the model
            • Convert a sentence to a list
            • Wrapper for seq2seq model
            • Train a word2vec model
            • Preprocess a file
            • Create LSTM model
            • Get a convolutional model
            • Process data based on data
            • Cuts words in a string
            • Extracts the resnet layer
            • Calculate a vector from a cut word
            • Generate a random generator
            • Generate random data
            • Predict Chinese
            Get all kandi verified functions for this library.

            NLP-Project Key Features

            No Key Features are available at this moment for NLP-Project.

            NLP-Project Examples and Code Snippets

            No Code Snippets are available at this moment for NLP-Project.

            Community Discussions

            Trending Discussions on NLP-Project

            QUESTION

            Webpack production build styles do not appear
            Asked 2020-Jan-18 at 00:51

            EDIT: okay, i fixed the problem with my styles by correcting my server file. I had forgotten to update the static resources path. however, I am still having a problem. My javascript is still not firing correctly.

            i have output rules defined in my config files for both production and development environments......but clearly i made a mistake somewhere along the line

            okay, before I post this I just want to say that I'm struggling pretty hard with webpack. I'm about 6 to 8 months into my training as a front end developer, so I'm already bursting at the seams with new languages and technologies, and this recent journey through the world of build tools may have been more than I can bear.

            I'm about to ask some questions, forgive me if they are stupid.

            I'm struggling to understand why, currently, my production and development builds are not behaving the same. when i run my dev build, all my styles and js work correctly, however when i run my production build, none of my styles or js work. The dist folder is populated with all the expected bundled files (all my minified css and js is there) and all of the paths in the index.html that is generated seem to point to the correct places in the dist folder.....I'm posting a link to the github repo below.

            Looking for any tips or clues. please feel free to ask for more info, I don't really have the first idea of where to start looking (that I haven't already checked) for the cause. the course material i'm consuming online about webpack was pretty poor in my opinion......

            https://github.com/Funkh0user/nlp-project

            ...

            ANSWER

            Answered 2020-Jan-17 at 15:48

            Webpack dev build is working, because the webpack-dev-server is launched on 8080 port. All CSS styles are inserted inline in tag and you can enjoy liveReload.

            Production build is not working because of Express config, change your config to provided:

            Source https://stackoverflow.com/questions/59783748

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

            Vulnerabilities

            No vulnerabilities reported

            Install NLP-Project

            You can download it from GitHub.
            You can use NLP-Project 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/shawroad/NLP-Project.git

          • CLI

            gh repo clone shawroad/NLP-Project

          • sshUrl

            git@github.com:shawroad/NLP-Project.git

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