NLP-practice-program | include mainstream NLP model training projects

by Dod-o Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | NLP-practice-program Summary

NLP-practice-program is a Python library. NLP-practice-program has no bugs, it has no vulnerabilities and it has low support. However NLP-practice-program build file is not available. You can download it from GitHub.

Strive to include mainstream NLP model training projects, constantly updated

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Quality

Security

License

Reuse

Support

NLP-practice-program has a low active ecosystem.

It has 265 star(s) with 66 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. On average issues are closed in 378 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NLP-practice-program is current.

Quality

NLP-practice-program has 0 bugs and 0 code smells.

Security

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

NLP-practice-program code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NLP-practice-program 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.

Reuse

NLP-practice-program releases are not available. You will need to build from source code and install.

NLP-practice-program has no build file. You will be need to create the build yourself to build the component from source.

NLP-practice-program saves you 267 person hours of effort in developing the same functionality from scratch.

It has 648 lines of code, 33 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed NLP-practice-program and discovered the below as its top functions. This is intended to give you an instant insight into NLP-practice-program implemented functionality, and help decide if they suit your requirements.

Train the model
Build the model
Get batch of windows
Get a list of windows word words from text
Create a seq2seq model
Create encoder
Create input tensors for seq2seq
Create a decoder for encodings
Get the Vocab2int2int2int2int2int2int2int
Removes punctuation from a dataframe
Load data from a CSV file
Create a trained model
Get input tensors
Create a LSTM cell
Sample from given checkpoint
Pick the top n features from the preds
Load data from a file
Remove punctuation from the dataframe
Takes a text and returns the cleaned text
Load data from a csv file
Get embedings

Get all kandi verified functions for this library.

NLP-practice-program Key Features

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

NLP-practice-program Examples and Code Snippets

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

Community Discussions

No Community Discussions are available at this moment for NLP-practice-program.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install NLP-practice-program

You can download it from GitHub.
You can use NLP-practice-program 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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