Skip to content

Generative Adversarial Network

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

Here are 2,585 public repositories matching this topic...

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, image/video restoration/enhancement, etc.

  • Updated Jun 2, 2023
  • Python

Released June 10, 2014


Related Topics

deep-learning neural-network