Keras_VAE | Keras Variational Autoencoder

by tzm030329 Python Version: Current License: No License

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

kandi X-RAY | Keras_VAE Summary

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

Keras Variational Autoencoder

Support

Quality

Security

License

Reuse

Support

Keras_VAE has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Keras_VAE has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Keras_VAE is current.

Quality

Keras_VAE has no bugs reported.

Security

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

License

Keras_VAE 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

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

Keras_VAE has no build file. You will be need to create the build yourself to build the component from source.

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Keras_VAE Key Features

No Key Features are available at this moment for Keras_VAE.

Keras_VAE Examples and Code Snippets

No Code Snippets are available at this moment for Keras_VAE.

Community Discussions

No Community Discussions are available at this moment for Keras_VAE.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Keras_VAE

You can download it from GitHub.
You can use Keras_VAE 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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