gzoumpourlis

DEAP_MNE_preprocessing

Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction

BEETL_NeurIPS_2021

Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021

Ensemble-MI

PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"

handtracking_hexbug

Control a HexBug robot through hand-tracking (Leap Motion + Arduino + HexBug)

gzoumpourlis.github.io

3DDFA

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

allRank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

autoCV

automatic generation of CV

braindecode

Deep learning software to decode EEG or MEG signals

EEG-DL

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

eeg-notebooks

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

EEG_Dataset

Differential entropy features of EEG dataset

eeg_positions

Compute standard EEG electrode positions.

EEGEdu

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

emotic

Code repo for the EMOTIC dataset

imgaug

Image augmentation for machine learning experiments.

mapextrackt

Pytorch Feature Map Extractor

mimicry

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

MUPS

Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

muse-lsl

Python script to stream EEG data from the muse 2016 headset

neurotech-course

CS198-96: Intro to Neurotechnology @ UC Berkeley

psychopy

For running psychology and neuroscience experiments

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

research_toolbox

Utilities to help manage a machine learning experimental workflow

Rigbox

A MATLAB toolbox for running behavioral neuroscience experiments and managing data

skorch

A scikit-learn compatible neural network library that wraps pytorch

SSVEP-Neural-Generative-Models

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

tueg-tools

Tools for working with the Temple University Hospital EEG Corpus

yasa

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

yt-migrate

Import all your YouTube subscriptions from one account to another