Conditional GAN in TensorFlow and PyTorch

This repository This repository contains code for Conditional GAN in TensorFlow and PyTorch blogpost.

Package Dependencies

This repository also trains the Conditional GAN in both Pytorch and Tensorflow on the Fashion MNIST and Rock-Paper-Scissors dataset. It is tested with the following CUDA versions.

• Cuda-11.1
• Cudnn-8.0

The Pytorch and Tensorflow scripts require numpy, tensorflow, torch. To get the versions of these packages you need for the program, use pip. (Make sure pip is upgraded: python3 -m pip install -U pip).

pip3 install -r requirements.txt 

Directory Structure

├── PyTorch
│   ├── CGAN-PyTorch.ipynb
│   └── cgan_pytorch.py
└── TensorFlow
    ├── CGAN-FashionMnist-TensorFlow.ipynb
    ├── cgan_fashionmnist_tensorflow.py
    ├── CGAN-RockPaperScissor-TensorFlow.ipynb
    └── cgan_rockpaperscissor_tensorflow.py

Instructions

PyTorch

To train the Conditional GAN with Pytorch, please go into the Pytorch folder and execute the Jupyter Notebook.

TensorFlow

To train the Conditional GAN with TensorFlow, please go into the Tensorflow folder and execute the Jupyter Notebook.

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