MohammadJavadD

EmotioNet

Demo Code for "EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition"

ImpAI2019

ImplementAI was hosted by McGill Artificial Intelligence Society, which was a 24-hour hackathon to learn how AI can be used to overcome societal problems and boost competitiveness. There are five sponsor challenges and we chose the challenge from CAE. CAE is a company which provides flight simulators as well as training solution for the airline companies (https://www.cae.com/).

amplitude-modulation-analysis-module

Amplitude Modulation Analysis Module for Python

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

DANN_py3

python 3 pytorch implementation of DANN

domain_adapt

Domain adaptation networks for digit recognitioning

EEG_Event_Classification

EEGLearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Emotion-Recognition

Emotion recognition from EEG and physiological signals using deep neural networks

f2019workshop2

Fall 2019 edition of MAIS 202 ― How to deploy your machine learning model

facial_emotion_recognition__EMOJIFIER

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

hgdecode

Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.

IFT-6135-assignment1

IFT-6135-assignment2

IFT-6135-assignment3

IFT6135H19_assignment

lfads_demo

Pytorch implementation of LFADS for demo at CAN workshop

ml-class

Machine learning lessons and teaching projects designed for engineers

MLDG

The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

MLforMedicalIntelligence

Machine Learning Medical Intelligence class, Prof. C. Wallraven

mne-python

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

OpenFace

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

pytorch_experiments

Auto Encoders in PyTorch

SleepEEGNet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

tf_EEGLearn

A tensorflow implementation for EEGLearn