data
- Contains model checkpoints, history log files, and sample images for part of the evaluation process. Also has params.json with optimal model hyperparameters.
src
- Contains util.py with helper functions as well as vit.py with Vision Transformer and Performer-f implementations. Also contains a Trainer class to perform model training.
notebooks
- For model training and data analysis. The goal of this project is to benchmark various transformers.