Skip to content

Latest commit

 

History

History
10 lines (8 loc) · 634 Bytes

README.md

File metadata and controls

10 lines (8 loc) · 634 Bytes

cu DCGANS

Exploring DCGANS in Pytorch with a focus on optimizing for a GPU as a final project for CMDA 4634

data -> the dataset data, you have to extra the data from the Kaggle gan-cpu -> This is the cpu version of the DCGAN model gan-gpu -> This is the gpu version of the DCGANs model with optimizations
Summary -> the pdf talks about the project in detail

Recommended Way of Running Code: I recommend running the code in Colab or a similar environment unless you have a GPU. Simply upload the code in colab and get the data from the Abstract Art Gallary Dataset (https://www.kaggle.com/datasets/bryanb/abstract-art-gallery).