In this specific article, you are introduced to a cookbook that has been created by Junho Kim for easy use of the code in Tensorflow. For Example: pixel shuffle, several normalization functions, tf-dataset API, etc. So, All that has to be done is Copy and paste!
What does the repository consist of presently?
As of now, this repository comprises of general architectures as well as functions that are useful for the Generative Adversarial Networks (GAN): A framework in which two players compete with one another.
What additions will be made in the future?
Addition of further things that might result in being very useful to other areas will continue to be added.
Also, if what you are looking for it's not present here, but if there are things you use often, you can add them as well!
Any number of pull requests and issues are welcome. You can write what you want to implement on the issue and then its implementation will take place.
Given above was an abstract and for more information regarding the same, one can go through the link mentioned below:
Source and information: GitHub