Complex-valued networks and Bayesian sparsificaiton methods

An extension for torch that adds basic building blocks for complex-valued neural networks with batch normalization and weight initialization. Provides an implementation of Real- and Complex-valued Bayesian sparisification techniques: Variational Dropout and Automatic Relevance Determination. Finally, contains a fully functional package for real- and complex- valued maskable layers.