(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

StyleGAN and StyleGAN2 implementation for generating anime faces.

The first GANs-based omics-to-omics translation framework

StyleGAN2-ADA for generation of synthetic skin lesions

Open source code and ressources for SIP-GAN paper.

This repository uses modules from Swin Transformer to build Transformer-based Generative Adversarial Networks (GANs) models.

An AI/ML model that uses Generative Adversarial Networks to create images from a sample dataset. 5th Attempt

Small, fast and intuitively clear Generative Adversarial Network.

Creating a dataset of varied celestial objects to get a broader perspective of Universe.

This is a baseline tooling model for gans on TF2.0

Using WGAN-gp and creating art portraits.

A repository for generating synthetic data (images) using various DL/ML models.

Repo to replicate the study: Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data

Mode Selection/Covering of GANs (TensorFlow 2)

Create new and unseen Anime faces using Generative Adversarial Networks (Gans) Model implemented using Tensorlow and Python