Software for Evaluating Convolutional Generative Adversarial Networks with Classical Random Process Noise Models
This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series. Specifically, it includes Pytorch implementations of two generative adversarial network (GAN) models for time series based on convolutational neural networks …