gans | Generative Adversarial Nets Models in Pytorch

gans is a Python library. gans has no bugs, it has no vulnerabilities and it has low support. However gans build file is not available. You can download it from GitHub.

GANs or Generative Adversarial Networks is the one of the most interesting things you can work in ML field. They propose in 2014 in the paper called Generative Adversarial Nets by Ian Goodfellow et al. These model solves a unsupervised learning problem as opposed to Variational Autoencoders which solves semi-supervised learning problem. But these models have their own problems as well. Generative Adversarial Models are very hard to train and often mode collapse (generating same output for different inputs) is observed. Despite of these issues, these models managed to produce high quality images of human faces and can transform images from one domain to another.