Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Deep learning software to decode EEG, ECG or MEG signals

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

Light module (less than 30KB) without any dependencies designed to provide hooks for PS4 Controller events

Python package for SSVEP datasets and algorithms. Corresponding paper has been accepted by IEEE TNSRE (DOI: 10.1109/TNSRE.2024.3424410)

This is source code provided for replication of SSVEPNet

ROS + OpenCV | Parrot Bebop 2

🛰️ Double Differencing: Main method of high precision commercial positioning. This method requires two high grade GNSS receivers. In this case a reference, and a (static or kinematic) rover receiv…

Repository showing the basics to register, plot and create a first database with the Unicorn Hybrid Black EEG recorder in python.

A set of EEGLAB and Python functions to interact with the Unicorn Hybrid Black

SIC-Assembler(Python) is the tool to convert SIC program(HL) to machine code which is understood by SIC.