Metadata-Version: 2.1
Name: GANsforVirtualEye
Version: 0.1.0
Summary: This package provides an implementation of Generative Adversarial Networks (GANs) for time series generation, with flexible architecture options. Users can select different combinations of generator and discriminator models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), to suit their specific needs.
Author: Shailendra Bhandari
Author-email: shailendra.bhandari@oslomet.no
Requires-Python: >=3.6
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: sklearn
Requires-Dist: pandas
Requires-Dist: progressbar2

