EEG Signal Processing with DGCNN & ONNX
A deep learning-based EEG signal processing project that classifies emotional states using the DREAMER dataset. The model is built using the DGCNN architecture from TorchEEG and optimized for fast inference via ONNX.
Feb 1, 2025
