Implementations of LSTM and GRU in Pytorch

Implementation of recurrent neural networks (RNNs) from "scratch" in PyTorch. The only PyTorch module used is nn.Linear.

I had to write this for a research project. I needed to make internal changes to RNNs for my experiments but observed that PyTorch's RNNs were imported as C libraries. Hopefully this will save you a few hours or days in your own work :-)

RNNS implemented are:

• Long short-term memory, LSTM
• Gated recurrent Unit, GRU

Dependency

Torch