Xiang Zhang's repositories
Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Brain_typing
Codes, data for brain typing paper.
EEG_Shape_Reconstruction
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
Adversarial-Variational-Semi-supervised-Learning
The reusable codes for KDD'19 research track paper: Adversarial Variational Embedding for Robust Semi-supervised Learning
know_your_mind
Codes and datasets for paper: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks.
adversarial_seizure_detection
Code for paper Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection which has been accepted by the IEEE Journal of Biomedical and Health Informatics (J-BHI).
IJCAI2018_sensor
Codes for paper: Multi-modality sensor data classification with selective attention
advanced-sdk
Emotiv SDK Advanced Edition
GNNGuard
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
Neighborhood-Attention-Transformer
Official NAT (Neighborhood Attention Transformer) and DiNAT (Dilated Neighborhood Attention Transformer) repository.
patient-safety
Population-scale patient safety data reveal inequalities in adverse events before and during COVID-19 pandemic
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
TensorFlow-Convolutional-AutoEncoder
This is an implementation of Convolutional AutoEncoder using only TensorFlow
tensorflow-generative-model-collections
Collection of generative models in Tensorflow