eegdash/EEGDash

An open source tool for large-scale EEG datasets processing

TorchEEG is a library built on PyTorch for EEG signal analysis.

Deep learning software to decode EEG, ECG or MEG signals

Mother of All BCI Benchmarks

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Automatically process entire electrophysiological datasets using MNE-Python.

PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.