discriminator

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Light NodeJS rate limiting and response delaying using Redis - including Express middleware.

NN based lossless compression

Improving MMD-GAN training with repulsive loss function

Demonstrates the discriminator field (shared schema) based multi-tenant application using Spring Boot & Hibernate 5.

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

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

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

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

Simple way to serialize and deserialize polymorphic types for Json.NET

ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation

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

Changes your discord username to get a different discriminator

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

Improved training of Wasserstein GANs

A DCGAN built on the CIFAR10 dataset using pytorch

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Generate fake faces using generative adversarial network

Generating super-resolution images using GANs

In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.

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

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

AI that generates human faces which have never been seen before. The future is now 😁

Implementation of Wasserstein Generative Adversarial Networks using Tensorflow

This is a new alogorithm named WGAN, an alternative to traditional GAN training!

Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow

Generative Adversarial Nets

This repository is to demonstrate how we can create new images of a distribution of images with a Generative Adversarial Network (GAN)

Goal is to learn all concepts of Generative adversarial networks