A LSTM implementation with only using basic components of pytorch. The goal of this project is to offer clean code that is easy to inspect and extend while retaining competitive performance. Arguably, it offers the most clean code that you can find if you are trying to know how LSTM works. Chapter 4 of Supervised Sequence Labelling with Recurrent Neural Networks is recommneded for theoretical background.

Please see demo to see how to use it.