deepcorrect | Text and Punctuation correction with Deep Learning | Machine Learning library

by bedapudi6788 Python Version: 1.0.5 License: GPL-3.0

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | deepcorrect Summary

deepcorrect is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras, Neural Network applications. deepcorrect has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install deepcorrect' or download it from GitHub, PyPI.

Code and checkpoints corresponding to the posts and Pre-trained models for punctuation correction (trained on google news, wikipedia and tatoeba) are available at This repo uses a seq2seq model written by me in keras with tensorflow backend. The multi-purpose seq2seq model can be found at

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Quality

Security

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Support

deepcorrect has a low active ecosystem.

It has 112 star(s) with 32 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 18 have been closed. On average issues are closed in 33 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deepcorrect is 1.0.5

Quality

deepcorrect has 0 bugs and 0 code smells.

Security

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

deepcorrect code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deepcorrect is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

deepcorrect releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

deepcorrect saves you 34 person hours of effort in developing the same functionality from scratch.

It has 93 lines of code, 6 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

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deepcorrect Key Features

No Key Features are available at this moment for deepcorrect.

deepcorrect Examples and Code Snippets

How to import pip installed package?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

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python -m pip install

python -m pip install deepcorrect
# Test that it works.
python -c "from deepcorrect import DeepCorrect"

Community Discussions

Trending Discussions on deepcorrect

How to import pip installed package?

QUESTION

How to import pip installed package?

Asked 2020-Jul-22 at 19:08

Python newbie here. From this site : http://bpraneeth.com/projects/deeppunct

I ran the following commands :

...

ANSWER

Answered 2020-Jul-22 at 18:17

Well you are using python3 but are using pip to install the library. Try to use pip3 install deepcorrect. This is important on macOS and some linux distros so I'm not sure if you are using Windows.

Source https://stackoverflow.com/questions/63040671

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

Vulnerabilities

No vulnerabilities reported

Install deepcorrect

You can install using 'pip install deepcorrect' or download it from GitHub, PyPI.
You can use deepcorrect 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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