3 experiments of GAN/wGAN on simple gaussian distribution, MNIST dataset and exploration of music generation by MuseGAN.
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Feb 23, 2021 - Jupyter Notebook
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3 experiments of GAN/wGAN on simple gaussian distribution, MNIST dataset and exploration of music generation by MuseGAN.
[BETA] Easy-to-use pytorch model trainer, dataloader creators, and utilities + my own implementations of select models
This is a deep learning code written in PyTorch that convert a given text into image.
PyTorch implementation of WGAN-GP-based video generation. Includes functionality for measuring Frechet Video Distance and implementing recent research improvements of WGAN-GP. Read paper at https://github.com/talcron/frame-prediction-pytorch/blob/media/paper.pdf
WGAN with feedback from discriminator& LayerNorm instead of BatchNorm
Implementing various GAN Architectures in PyTorch.
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
A Pytorch Lightning WGAN-gp to generate faces
This project aims to address the lack of EEG signals for ALS (Amyotrophic Lateral Sclerosis) patients. ALS is a progressive neurodegenerative disease. A Wasserstein GAN (WGAN) model has been employed to generate synthetic EEG signals.
Project to get attention from discriminator: 1st combination
Generating pokemon (and other things) with GANs
TensorFlow Generative Adversarial Networks (GANs)
Master's Final Project: Adversarial Domain Adaptation Super Resolution
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