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.
Interested in getting started with Deep Learning? This guide shows you how to get started with PyTorch, tensors, and constructing Neural Networks with PyTorch.
Aitextgen is a Python library for training text-generation models using GPT-2 and GPT-3/GPT Neo. In this tutorial you'll get aitextgen up and running quickly in a Jupyter notebook on a free GPU instance from Paperspace Gradient!
This article provides an in-depth look at the CVPR 2018 paper titled "xUnit: Learning a Spatial Activation Function for Efficient Image Restoration" and its importance in the domain of image reconstruction.
This article gives an in-depth summary of the ICASSP paper titled "SA-Net: Shuffle Attention for Deep Convolutional Neural Networks."
In this article, I will give a brief overview of BERT based QA models and show you how to train Bio-BERT to answer COVID-19 related questions from research papers.
