torch-rnn provides reusable recurrent neural network modules built on the torch7 framework. It offers both standard RNN and LSTM implementations with no dependencies beyond torch and nn, making it easy to integrate into existing projects. The library is optimized for performance and memory efficiency compared to the reference char-rnn implementation. It includes modules for character-level language modeling tasks.