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a7_lacoursespindledetector

A7 Spindle Detector described by Lacourse et al. 2018

alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

ants_youtube_videos

The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.

arl-eegmodels

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

asrpy

Artifact Subspace Reconstruction for Python

attnsleep

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

bcitp

A platform for Brain Computer Interfaces users training

bids-validator

Placeholder. This content has moved to https://github.com/bids-standard/bids-validator

chb-mit

Machine learning on the CHB-MIT scalp EEG database

datajoint-python

Relational data pipelines for the science lab

deeponeclass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

dynamical-systems

Models of dynamical systems

easyeeg

Concise Agile Flexible EEG data analyis toolbox

eeg-datasets

A list of all public EEG-datasets

eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

eeg_api_dwt

An API for brain signal processing based on DWT bior2.2 and using random forest classifier.

eeg_microstates

EEG microstate analysis

eeg_stress_detection

Classification of stress using EEG recordings from the SAM 40 dataset

emotion_analysis

erds_plots

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

mne_microstates

Microstate analysis for use with MNE-Python

moo_ch_selection_deap

Two-dimensional CNN-based distinction of human emotions from EEG channels selected by Multi-Objective evolutionary algorithm

onlineemd

MATLAB Implementation of Online Empirical Mode Decomposition

pipelines

Neuroimgaing data processing pipelines used in the lab

psychopy

For running psychology and neuroscience experiments

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,