rau 0.2.0

Neural language modeling and sequence-to-sequence transduction in PyTorch.

Rau (rhymes with “now”) is a Python module and command-line tool that provides PyTorch implementations of neural network-based language modeling and sequence-to-sequence generation. It is primarily suited for academic researchers. Out of the box, it provides implementations of the simple recurrent neural network (RNN), long short-term memory (LSTM), and transformer architectures. It includes extensible Python APIs and command-line tools for data preprocessing, training, and evaluation. It is very easy to get started with the command-line tools if you provide your data in plaintext as lines of space-separated tokens.

Read the full documentation here.