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Experimenting with Generative Adversarial Networks (GAN) to generate images similar to the Fashion MNIST dataset using PyTorch.

Jupyter Notebook 86.36% Python 13.64%

fashion-gan's Introduction

Generative Adversarial Network

Experimenting with Generative Adversarial Networks (GAN) using PyTorch. The GAN built in this project can generate images of clothes. Here are some of the images it generated:

alt text

Data: Fashion MNIST, 60000 samples of greyscale 28x28 px images.

To train the models from scratch, download all python files in this folder and run with

python3 train.py

To generate samples with the trained models, download the python files and the models from the trained_models folder. Run with

python3 test.py

fashion-gan's People

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