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

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

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

NN based lossless compression

Improving MMD-GAN training with repulsive loss function

Unsupervised Domain Adaptation for Computer Vision Tasks

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

Improved training of Wasserstein GANs

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.

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

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

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

AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!

Transfer Learning on GANs

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

A DCGAN built on the CIFAR10 dataset using pytorch

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

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

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman