Unbiased-Autoencoder-for-Face-Recognition
kandi X-RAY | Unbiased-Autoencoder-for-Face-Recognition Summary
kandi X-RAY | Unbiased-Autoencoder-for-Face-Recognition Summary
Unbiased-Autoencoder-for-Face-Recognition is a Python library. Unbiased-Autoencoder-for-Face-Recognition has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Unbiased-Autoencoder-for-Face-Recognition
Unbiased-Autoencoder-for-Face-Recognition
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Unbiased-Autoencoder-for-Face-Recognition has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Unbiased-Autoencoder-for-Face-Recognition has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Unbiased-Autoencoder-for-Face-Recognition is current.
Quality
Unbiased-Autoencoder-for-Face-Recognition has no bugs reported.
Security
Unbiased-Autoencoder-for-Face-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Unbiased-Autoencoder-for-Face-Recognition is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Unbiased-Autoencoder-for-Face-Recognition releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Unbiased-Autoencoder-for-Face-Recognition and discovered the below as its top functions. This is intended to give you an instant insight into Unbiased-Autoencoder-for-Face-Recognition implemented functionality, and help decide if they suit your requirements.
- Decorator to collect the phase of a function .
- Copy the files from the wheel to the destination .
- Wrapper for urlopen .
- Install the wheel .
- Return a DOM builder .
- Read a header block .
- Return the platform .
- Normalize face data .
- Freezes installed packages .
- Run the given tests .
Get all kandi verified functions for this library.
Unbiased-Autoencoder-for-Face-Recognition Key Features
No Key Features are available at this moment for Unbiased-Autoencoder-for-Face-Recognition.
Unbiased-Autoencoder-for-Face-Recognition Examples and Code Snippets
No Code Snippets are available at this moment for Unbiased-Autoencoder-for-Face-Recognition.
Community Discussions
No Community Discussions are available at this moment for Unbiased-Autoencoder-for-Face-Recognition.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Unbiased-Autoencoder-for-Face-Recognition
You can download it from GitHub.
You can use Unbiased-Autoencoder-for-Face-Recognition 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 Unbiased-Autoencoder-for-Face-Recognition 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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