This project looks to investigate the performance of various Image-To-Image Generative Adversarial Networks across a set number of datasets on a set number of metrics. This project is currently ongoing and this README will be updated to reflect progress on this project.

1. Install Conda
2. Clone this repository and recursively add all submodules
3. Create the conda environment
4. Start Jupyter Lab and Open analyze.ipynb

git --recurse-submodules clone [email protected]:sagars729/GAN.git
cd GAN
conda env create -f gan_env.yaml
conda activate gan
jupyter lab