This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
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Updated
Jul 30, 2023 - Python
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
This is a very simplified ipynb code for KupynOrest's Deblur GAN code. DeblurGAN addresses the challenge of end-to-end image deblurring through the use of conditional Generative Adversarial Networks (cGANs).I have used pytorch for this implementation.
Project to get attention from discriminator: 1st combination
Master's Thesis Project: Text generation with GANs and Autoencoders
This project implements the Wasserstein-GAN approach to estimate Wasserstein distances and benchmarks it against other approaches.
Mode Selection/Covering of GANs (TensorFlow 2)
This is a repository that contains an implementation of Wassertein-GAN (Generative Adversarial Network) using the PyTorch framework for generating batik patterns.
Generatrive AI onboard the European Space Agency's OPS-SAT-1 spacecraft!
Super-Resolution WGAN for Low-Res Images and GIFs as a Final Project for DeepLearning 2470 @ Brown
This repository contains different GAN architectures for data generation and posterior sampling to solve inverse problems featured in my Master's Thesis.
This 'Generative Adversarial Network' project was implemented in grad course CSE-676 : Deep Learning [Fall 2019 @UB_SUNY] Course Instructor : Sargur N. Srihari(https://cedar.buffalo.edu/~srihari/)
This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.
WGAN-GP Implementation of Pokémon Image Dataset
This repository contains application based on various gans
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