This project is just a learning/practice of the techniques used in book Probabilitic Machine Learning. I would say it is my interpretaion of this book. I have modified the codes to try some more things on top of it.
Bidirectional RNN for sentiment classification with 3 classfication (pos/neg/unsupported)
Neural machine translation (NMT) using RNN bidirectional with Attention decoder (Added test based on bleu score with training) ... and comments in all the files based on my understanding
Using details :
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy