Create Anime Characters with MakeGirlsMoe
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Updated
Dec 8, 2022 - JavaScript
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.
Create Anime Characters with MakeGirlsMoe
Simple GAN example using tensorflow JS core
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
This is an portrayal of a Generative Adversarial Network (GAN) where the dog is the generator and the duck is the destructor.
Inofficial implementation of the paper "SinGAN: Learning a Generative Model from a Single Natural Image"
A creative (generative) bot, implemented using Generative Adversarial Networks, for the RL environment released by DeepMind for the adversarial strategy game, StarCraft II.
TensorFlow.js GAN for generating new xkcd comics
Web Application convert image to 3D object
The website for Cycle GANs project @ UIUC
BiDi: Virtual Hairstyling (simulation) App using GAN
Made for HackGT. This GAN model forges data similar to the one provided by NCR
Released June 10, 2014