ambientGAN_TF | Tensorflow implementation of AmbientGAN on celebA dataset

by shinseung428 Python Version: Current License: No License

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kandi X-RAY | ambientGAN_TF Summary

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

Tensorflow implementation of AmbientGAN on celebA dataset. The implicit generative model learns to recover true underlying distribution given only lossy measurement models.

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ambientGAN_TF has a low active ecosystem.

It has 29 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of ambientGAN_TF is current.

Quality

ambientGAN_TF has 0 bugs and 0 code smells.

Security

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

ambientGAN_TF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ambientGAN_TF 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

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

ambientGAN_TF 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.

ambientGAN_TF saves you 164 person hours of effort in developing the same functionality from scratch.

It has 407 lines of code, 22 functions and 7 files.

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

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ambientGAN_TF Key Features

No Key Features are available at this moment for ambientGAN_TF.

ambientGAN_TF Examples and Code Snippets

No Code Snippets are available at this moment for ambientGAN_TF.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ambientGAN_TF

You can download it from GitHub.
You can use ambientGAN_TF 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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