Sequential Learning to convert English to Pig-Latin

The following Machine Translation models are implemented:

A vanilla sequence to sequence network, consisting of two RNNs (encoder + decoder)
A seq2seq network, with attention mechanism to assist the model performance.
A basic transformers based model to further boost performance.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
.gitignore		.gitignore
LSTM_Attention_decoder.ipynb		LSTM_Attention_decoder.ipynb
README.md		README.md
Transformer.ipynb		Transformer.ipynb
attn_vis.py		attn_vis.py
data_handler.py		data_handler.py
pig_latin_data.txt		pig_latin_data.txt
seq2seq.ipynb		seq2seq.ipynb
utils.py		utils.py