Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

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 ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

This package contains example programs for Network MIDI 2.0 UDP server and client with ALSA API. The implementation is based on Network MIDI 2.0 (UDP) Transport ...

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...