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awesome-bci

Curated Collection of BCI resources

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

bci-toolbox

Deep Learning pipeline for motor-imagery classification.

bci-xr

A python library for BCI

bci_mi_wavelet_cnn

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

brainbrowser

Web-based visualization tools for neurological data.

challenge

doublekill

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.

ecml-pkdd_mmcnn

MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification

eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

eeg-analysis-for-motor-imagery-application

eeg-classification

paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”

eeg-classification-1

in this mini project i will use the libraries mne and braindecode to analyze and classify public domain EEG(ML) signals provided by physionet.org

eeg-conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

eeg-datasets

A list of all public EEG-datasets

eeg-map

脑电实验室用于研究运动想象的代码和历年脑电数据

eeg_mi_wavelet_cnn_test

基于小波变换和卷积神经网络的脑电运动成像信号分类

eegnet

EEGNet remodel performed within internship at Swartz Center for Computational Neuroscience

exp3-producer-consumer

【操作系统课程设计】实验三、生产者消费者问题

git-demo

gravitational_wave_data_2d_analysis

Gravitational wave data analysis and signal detection (in time-frequence images) with 2D AI model

iitk_motor_eeg

Motor Imagery EEG signal Classification on DWT

kernel_memory_management

总结整理linux内核的内存管理的资料，包含论文，文章，视频，以及应用程序的内存泄露，内存池相关

lmda-code

code for LMDA

mobilevit_tensorrt

TensorRT 2022 亚军方案，tensorrt加速mobilevit模型

motor-imagery-papers

A list of papers for motor imagery using machine learning/deep learning.

motorimagerytutorial

Simple and elegant python implementation of "Transfer learning for motor imagery based brain–computer interfaces: A tutorial" [Neural Netw. 2022] by Wu, et al.

nddm

Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.

oxford_pits_vgg16_alexnet_architectures