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 13 public repositories matching this topic...

A Deep learning project which targets improving the camera quality for budget phones, the Fixel app provides the user capability to capture images through the Fixel App made of Ionic and sent captured image to web API. The Fixel Web Api Is bundled with ProSR GAN for converting low-resolution images to high-resolution images.

  • Updated Jan 7, 2023
  • TypeScript

The first of a kind "AGENT AS A BACKEND" : Advanced AI/ML Agent Framework with TypeScript support, multi-model capabilities, vision controls, and comprehensive AI/ML model support including LLM, SLM, MLM, Vision, ASR, TTS, RL, GNN, RNN, CNN, GAN, Diffusion, Transformer, MLP, Autoencoder, BERT, RAG, Hybrid, Foundation, and fine-tuning

  • Updated Aug 20, 2025
  • TypeScript

Released June 10, 2014

Followers
248 followers
Website
github.com/topics/generative-adversarial-network
Wikipedia
Wikipedia

Related topics

deep-learning neural-network