Pytorch implementation of a small GAN network for MNIST, FashionMNIST, and USPS dataset.

Fashion images Generator AI using Pytorch

A Generative Adverserial Network for modelling any distribution.

CycleGAN with PyTorch

A collection of Jupyter notebooks for common machine learning architectures in Pytorch.

DCGAN architecture to generate faces from CelebA dataset, made with ❤️ in PyTorch. Do 🌟 the repo if you find it useful.

Theory and PyTorch implementations of Generative Adversarial Networks.

A Vanilla Generative Adversarial Network(GAN) for generating images of Pokemon

A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

Gans Specialization course by deeplearning.ai: solved assignments and labs

Collection of generative models in Pytorch version.

Pytorch implementation of CycleGAN

Implementations of Generative Adversarial Networks (GANs)

Pytorch implementation of Vanilla-GAN for MNIST, FashionMNIST, and USPS dataset.

Simple generative adversarial network implementation using pytorch on MNIST dataset.

A scratch GAN to generate images of mixed world coins using PyTorch

This repo implements a simple GAN with fc layers and trains it on MNIST

Pokemon Generator

A web-app that uses a vanilla generative adversarial network and unsupervised learning to generate random 28X28x1 plasma style images of digits from 0 to 9