forest-shot Goto Github PK

bci_mi_csp_dnn

Classification algorithm based on motor imagery brain-computer interface

brainpad

Classification of EEG signals from the brain through OpenBCI hardware and Tensorflow-Keras API

ece-c247-eeg-gan

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

eeg-classification-with-cnn

Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrentes usando representaciones basadas en STFT y CWT

eeg-dl

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

eeg-motor-imagery-classification---ann

Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction

eeg-synthetic-data-using-gans

This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs) in order to augment existing training datasets to reduce caliberation time in MI-based BCI's.

fbcnet

FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface

senet

Squeeze-and-Excitation Networks

ssd-fbcsp-1daugmentation