Skip to content
#

gan

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 4,275 public repositories matching this topic...

annotated_deep_learning_paper_implementations

🧑�� 60+ Implementations/tutorials of deep learning papers with side-by-side notes �; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  • Updated Aug 24, 2024
  • Python

《æ?Žå®?毅深度学习教程》(æ?Žå®?毅è€?师推è??ðŸ‘?,苹果书ðŸ?Žï¼‰ï¼ŒPDF下载地å?€ï¼šhttps://github.com/datawhalechina/leedl-tutorial/releases

  • Updated Feb 10, 2025
  • Jupyter Notebook

Released June 10, 2014

Followers
244 followers
Wikipedia
Wikipedia

Related Topics

deep-learning neural-network