kandi X-RAY | text_style_transfer Summary
kandi X-RAY | text_style_transfer Summary
text_style_transfer is a Python library. text_style_transfer has no bugs, it has no vulnerabilities and it has low support. However text_style_transfer build file is not available. You can download it from GitHub.
This code implemens paper " Style Transfer in Text: Exploration and Evaluation " (The model code is based on The classifier in Evaluation is based on keras: The data is available at If there is any problem, please contact Zhenxin Fu (fuzhenxin95@gmail.com). This work is bsed on Theano. Python requirement: theano numpy matplotlib.
This code implemens paper " Style Transfer in Text: Exploration and Evaluation " (The model code is based on The classifier in Evaluation is based on keras: The data is available at If there is any problem, please contact Zhenxin Fu (fuzhenxin95@gmail.com). This work is bsed on Theano. Python requirement: theano numpy matplotlib.
Support
Quality
Security
License
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Support
text_style_transfer has a low active ecosystem.
It has 77 star(s) with 18 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of text_style_transfer is current.
Quality
text_style_transfer has 0 bugs and 0 code smells.
Security
text_style_transfer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
text_style_transfer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
text_style_transfer 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.
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text_style_transfer releases are not available. You will need to build from source code and install.
text_style_transfer 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.
text_style_transfer saves you 2196 person hours of effort in developing the same functionality from scratch.
It has 4808 lines of code, 204 functions and 35 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed text_style_transfer and discovered the below as its top functions. This is intended to give you an instant insight into text_style_transfer implemented functionality, and help decide if they suit your requirements.
- Get the next line
- Resets the file at index
- Plot the model
- Get the data model
- Function to plot the cosine score
- Get the score data
Get all kandi verified functions for this library.
text_style_transfer Key Features
No Key Features are available at this moment for text_style_transfer.
text_style_transfer Examples and Code Snippets
No Code Snippets are available at this moment for text_style_transfer.
Community Discussions
No Community Discussions are available at this moment for text_style_transfer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install text_style_transfer
You can download it from GitHub.
You can use text_style_transfer 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.
You can use text_style_transfer 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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