Using Machine Learning to predict the type of exercise from movement data
Generative Adversarial Network for Nuclei Detection on Breast Cancer Histopathology Images
A few Generative Adversarial Network implementations.
The semi-supervised GAN, or SGAN, model is an extension of the GAN architecture that involves the simultaneous training of a supervised discriminator, unsupervised discriminator, and a generator model. The result is both a supervised classification model that generalizes well to unseen examples and a generator model that outputs plausible exampl…
Image Processing Project on Exploring GANs. Here we have explored two different GANs - StackGAN for Text to Image Generation & SGAN for solving class imbalance
Add a description, image, and links to the sgan topic page so that developers can more easily learn about it.
To associate your repository with the sgan topic, visit your repo's landing page and select "manage topics."