urnn | neural network to smartly create coherent terminal
kandi X-RAY | urnn Summary
kandi X-RAY | urnn Summary
urnn is a C library. urnn has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A neural network to smartly create coherent terminal colorschemes based on an image.
A neural network to smartly create coherent terminal colorschemes based on an image.
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Quality
Security
License
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Support
urnn has a low active ecosystem.
It has 133 star(s) with 5 fork(s). There are 10 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 5 have been closed. On average issues are closed in 15 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of urnn is current.
Quality
urnn has no bugs reported.
Security
urnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
urnn 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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urnn releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of urnn
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of urnn
urnn Key Features
No Key Features are available at this moment for urnn.
urnn Examples and Code Snippets
No Code Snippets are available at this moment for urnn.
Community Discussions
No Community Discussions are available at this moment for urnn.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install urnn
You can download it from GitHub.
Support
Have inputs(pairs of xresources and walls) that you want to add? If you just want to submit them for addition to the inputs, see https://github.com/nixers-projects/urnnputs#contributing.
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