tcchriszhao Goto Github PK

camcops

Cambridge Cognitive and Psychiatric Test Kit (CamCOPS)

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

cnn-mi-bci

CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of EEG motor imagery signals")

covariancetoolbox

Covariance toolbox for matlab, including riemannian geometry

cyclegan

Tensorflow implementation of CycleGAN

da

Unsupervised Domain Adaptation Papers and Code

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

data-science-notes

数据科学的笔记以及资料搜集

deep-q-learning

Tensorflow implementation of Deepminds dqn with double dueling networks

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

domain_adaptation

domain_adversarial_neural_network

Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

dqn

Basic DQN implementation

eeg

2014 autumn CSC project. EEG, Motor Imagery.

eeg-101

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.

eeg-datasets

A list of all public EEG-datasets

eeg-emotions

Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.

eeg-feature-extraction-toolbox

This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.

eeg-system

A combination of a python GUI, ESP8266/arduino code and a PCB design to create a system for acquisition of biological signals

eeg_motor_imagery_gan

This repository save my work about GAN applied to motor imagery eeg signals

eeglearning

Different EEG Processing Methods on BCI competition

eeglstm

LSTM-based neural network system to predict EEG signals

eegnet

PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf