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…

NTUT Multimedia Technology class project

Image Processing Project on Exploring GANs. Here we have explored two different GANs - StackGAN for Text to Image Generation & SGAN for solving class imbalance