ac-gan | tensorflow implementation of google 's AC-GAN | Machine Learning library

by buriburisuri Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ac-gan Summary

ac-gan is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow, Generative adversarial networks applications. ac-gan has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ac-gan build file is not available. You can download it from GitHub.

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

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Quality

Security

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Support

ac-gan has a low active ecosystem.

It has 391 star(s) with 104 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 5 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ac-gan is current.

Quality

ac-gan has 0 bugs and 0 code smells.

Security

ac-gan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ac-gan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ac-gan is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ac-gan releases are not available. You will need to build from source code and install.

ac-gan 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.

ac-gan saves you 42 person hours of effort in developing the same functionality from scratch.

It has 113 lines of code, 5 functions and 2 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed ac-gan and discovered the below as its top functions. This is intended to give you an instant insight into ac-gan implemented functionality, and help decide if they suit your requirements.

Define discriminator .
Runs the generator .
Define a generator .
Perform alt train .

Get all kandi verified functions for this library.

ac-gan Key Features

No Key Features are available at this moment for ac-gan.

ac-gan Examples and Code Snippets

No Code Snippets are available at this moment for ac-gan.

Community Discussions

Trending Discussions on ac-gan

How to save and resume training a GAN with multiple model parts with Tensorflow 2/ Keras

QUESTION

How to save and resume training a GAN with multiple model parts with Tensorflow 2/ Keras

Asked 2021-Dec-08 at 09:11

I am currently trying to add a feature to interrupt and resume training on a GAN created form this example code: https://machinelearningmastery.com/how-to-develop-an-auxiliary-classifier-gan-ac-gan-from-scratch-with-keras/

I managed to get it working in a way where I save the weights of the entire composite GAN in the summarize_performance function, which gets triggered every 10 epochs, like this:

...

ANSWER

Answered 2021-Oct-26 at 07:18

Maybe consider using tf.train.Checkpoint, if you would like to restore your entire GAN:

Source https://stackoverflow.com/questions/69708977

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

Vulnerabilities

No vulnerabilities reported

Install ac-gan

You can download it from GitHub.
You can use ac-gan 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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