A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

Generating Cat images using StyleGAN

Python code + notebooks to fully reproduce the results for the blog post "These Bored Apes Do Not Exist" on Medium. Blog post URL: https://medium.com/@nathancooperjones/these-bored-apes-do-not-exist-6bed2c73f02c

Generate Faces using GANs (Part of Udacity's DLFND)

💤🖌️ AI making tiny Bitsy video games. Features an experimental generative structure inspired by GANs and Genetic Algorithms

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.

A deep neural network for kernel-blind image deblurring

An unofficial PyTorch implementation of VQGAN

Audio samples from "HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis"

Pix2Pix Implementation for Facade Dataset

Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network

Project Website for GP-GAN: Towards Realistic High-Resolution Image Blending

Udacity Deep Learning Nanodegree and all its projects.

Bidirectional Latent Optimized Generative Adversarial Networks

Defined and trained a DCGAN on a dataset of faces. The Goal of this project is to generate new images of faces that look as realistic as possible.

Implementation of Conditional Deep Convolutional GANs in low-level APIs

Built a real-time website for image generation using gan-cls algorithm. The algorithm is trained on CUBS 200 birds dataset.

Generative Adverserial Network for face generation using Tensorflow and DCGAN architecture

A Deep Learning project to Generate faces using GANs

This is code for Speakup AI website