Code for paper "Tuneable Efficient Unitary Neural Networks (EUNN) and their application to RNns." Based on the urnn repository from https://github.com/stwisdom/urnn.
Code coming soon for other experiments.
If you find this code useful, please cite the following references:
 M. Arjovsky, A. Shah, and Y. Bengio, “Unitary Evolution Recurrent Neural Networks,” Proc. International Conference on Machine Learning (ICML), 2016, pp. 1120–1128.
 S. Wisdom, T. Powers, J.R. Hershey, J. Le Roux, and L. Atlas, "Full-Capacity Unitary Recurrent Neural Networks," Advances in Neural Information Processing Systems (NIPS), 2016.
 L. Jing, Y. Shen, T. Dubcek, J. Peurifoy, S. Skirlo, Y. LeCun, M. Tegmark, M. Soljacic, "Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs", Arxiv 2017