Image inpainting
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Updated
Oct 27, 2022 - Python
Image inpainting
Improving Deep Learning accuracy using Generative Adversarial Networks (GANs). Implemented in PyTorch
Implementing various GAN Architectures in PyTorch.
Project to get attention from discriminator: 1st combination
Generating fake Trump tweets using a LaTextGAN
A walkthrough of two GAN implementations (DCGAN and WGAN_GP)
Code to reproduce experiments in "Convergence Properties of Generative Adversarial Networks".
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
👻 Generate new Pokemon
[Python3 Version] Code for reproducing experiments in "Improved Training of Wasserstein GANs"
GAN and WGAN experiments on MNIST and CelebA (Written for ECE6254 Final Project)
GANs 101 and its Applications: An exploration of DCGAN, WGAN, LSGAN and GAN transfer learning on the CelebA dataset
This project trains a WGAN on the MNIST dataset to generate images of handwritten digits.
Yet another TensorFlow implementation of Wasserstein General Adversarial Network
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