Deep Learning tutorial
Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model"
Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"
Implementation of "Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression"
Implementation of "Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series"
Implementation of "Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface"
Implementation of "Deep recurrent spatio-temporal neural network for motor imagery based BCI"
Implementation of "Multi-Scale Neural Network for EEG Representation Learning in BCI"
Implementation of "Domain Adaptation with Source Selection for Motor-Imagery Based BCI"
Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"