Name		Name	Last commit message	Last commit date
__pycache__		__pycache__
Network.py		Network.py
README.md		README.md
test_pytorch.py		test_pytorch.py
utils.py		utils.py
your_file.png		your_file.png

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PGGAN

This repository contains the implementation of the paper Progressive Growing of GANs for Improved Quality, Stability, and Variation in Pytorch. The following experiment will been carried out on MNIST dataset.

Tasks to do:

Classes for Generator,Discriminator and PGGAN
add_layer functions
adding smoothing branch
Training procedure.
Data Loader and Transforming them for training.
Training it on MNIST data and uploading trained model
minibatch discrimination
weight normalisation

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Progressively growing of GANs Pytorch Implementation

deep-learning gans neural-network pggan progressively-growing-gan pytorch pytorch-gan

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