app/ contains code for a work-in-progress UI for uploading custom images for caption purposes.

for-fun-models/ contains code for models that we played around with but eventually discarded.

images-in-paper/, as the name suggests, contains the images we referenced in our paper.

LSTM_Van_Bi.py contains code for the Vanilla LSTM and Bi-LSTM.

gru_attention.ipynb contains code for our attention-aware GRU-based model.

TransformerAndCNN.py contains code for our CNN-Transformer model.

below files have been archived (note: they were made to experiment but discarded in the process)

AttentionModel.py

BasicCNNtoRNN.py

TransfomerCaptioner.py