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 ...

Abstract: Contrastive learning (CL) has recently sparked a productive line of research in the field of recommendation, due to its ability to extract self-supervised signals from raw data that align ...

Please consider following this project's author, Jon Schlinkert, and consider starring the project to show your ️ and support. Node's built-in readline module is great for handling user input if you ...

Abstract: Rapid and precise magnitude estimation is critical for effective earthquake early warning systems and other seismic applications. This study introduces a novel deep learning-based approach ...

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 ...