Loss functions incorporating earth mover’s distance, Pearson Correlation Coefficient, and selective input-driven weighting are presented. Experiments applying these to a passive microwave brightness ...

The Data Science Lab. Autoencoder Anomaly Detection Using PyTorch. Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a ...

This project focuses on image compression using a convolutional autoencoder. The goal is to compress satellite images from the EuroSAT dataset into a compact representation and reconstruct them with ...

This is implemented using the pyTorch tutorial example as a reference. Or for with a quick shortcut, you can just run make. You can take a look at the ./Makefile for more details. Going through the ...