Popular GitHub Repositories for Discriminator

Create Synthetic-Images in TensorFlow using Generative Adversarial Network and Deepfakes using Keras.

Improving MMD-GAN training with repulsive loss function

NN based lossless compression

? Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization ?

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

Improved training of Wasserstein GANs

Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018

[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task

This repo contains the code that generates Digimon images using the concept of GAN

A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.

Implementation of Wasserstein Generative Adversarial Networks using Tensorflow

Creating artificial images with a Generative Adversarial Network written in PyTorch.

Code for Curriculum based Dropout Discriminator for Domain Adaptation(CD3A), BMVC, 2019

Adversarial Attack using a DCGAN

Tensorflow implementation of Conditional GAN trained on MNIST dataset

This project aims at using a Deep Convolutional Generative Adversarial network for the purpose of generating image faces using the CelebFaces dataset.

Create images of Pokemon using a Deep Convolutional Generative Adversarial Network.

Augment Aid is a machine learning project focused on data augmentation techniques. The project aims to enhance the performance of machine learning models by artificially expanding the training dataset. Augment Aid can generate new, diverse examples that help improve model robustness and generalization by applying various transformations.