GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
GitHub

the-database/traiNNer-redux

traiNNer-redux is a deep learning training framework for image super resolution and restoration which allows you to train PyTorch models for upscaling and restoring images and videos. NVIDIA graphics ...
IEEE

Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation

Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are ...
IEEE

Accelerating Neural Style-Transfer Using Contrastive Learning for Unsupervised Satellite Image Super-Resolution

Abstract: Contrastive learning is a self-supervised comparison of two samples to identify characteristics and traits that distinguish one data class from another, improving performance on visual tasks ...
Edutopia

Simple Swaps for Moving From Passive to Active Learning

Most teachers (myself included) don’t want to rely on lectures and worksheets to do our jobs. The problem is that it’s time-intensive and difficult to plan for lots and lots of active learning, which ...