James is an ML Engineer and Head of Engagement Marketing at Paperspace, who has spent 4 years as a Machine Learning marketing specialist. BSc in Psychology from University of St. Andrews, Scotland.
This tutorial shows how to setup and run JoJoGAN on Gradient Notebooks to create style transferred images.
We've collated the most popular and most useful blog posts from the Paperspace blog in 2021 in one place!
In this followup to the introduction to GFP-GAN, we look at using Gradient Deployments to create a Flask API making full use of the model.
Use this tutorial to learn how to directly restore the quality of aged or damaged images using GFP-GAN and Gradient!
Follow this guide to learn how the different GPU instances perform on Gradient compared to one another, and then learn how to run the benchmarks yourself!
A comparison of Gradient and Kaggle's resources and infrastructure meant to help guide users towards a preferred product.
This tutorial will show you how to set up the environment for StyleGAN3 on Gradient Notebooks, how to generate an image using the networks provided and prepared by Nvidia Labs, and how to train your own model using the AFHQ dataset.
A guide to using Gradient Notebooks to generate gorgeous pixel artwork using the PixRay library suite.
