leewayhertz

Generative video model: Types, tasks, development and implementation

Generative AI has become the buzzword of 2023. Whether text-generating ChatGPT or image-generating Midjourney, generative AI tools have significantly impacted businesses and dominated the content ...
GitHub

Framework for easy and efficient training of GANs based on Pytorch

TorchGAN is a Pytorch based framework for designing and developing Generative Adversarial Networks. This framework has been designed to provide building blocks for popular GANs and also to allow ...
Frontiers

Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of ...
GitHub

GANs-for-1D-Signal

This repo contains pytorch implementations of several types of GANs, including DCGAN, WGAN and WGAN-GP, for 1-D signal. It was used to generate fake data of Raman spectra, which are typically used in ...
The Earth Institute Columbia University

Wasserstein Generative Adversarial Networks (WGANs) Part 1: An Introduction

Since its inception in 2014 by Goodfellow et al, generative adversarial networks (GANs) have taken the research community by storm. The business for improving GANs has grown to a point where papers on ...