Tang18970202

sleep-stage-classification-papers

This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.

NNForTextClassification

Repositorio de pruebas en ML y DL. El objetivo de este repositorio en concreto es ir implementando publicaciones sobre modelos de redes neuronales para la clasificación de textos o frases en Tensorflow.

deepschool.io

Deep Learning tutorials in jupyter notebooks.

TensorFlow-Deep-Learning

用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型

ASSC

End-to-end Sleep Staging with Raw Single Channel EEG

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

EEG_classification

EEG Sleep stage classification using CNN with Keras

EEG-DL

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

RGNN

The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"

gnn_demo

imaging_time_series

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

SeqSleepNet

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

SleepEEGNet

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

sleep_transfer_learning

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

MultitaskSleepNet

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

captcha_trainer

[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

DeepLearning-Model-for-Audio-based-Gesture-Recognition-in-SmartPhones

Audio based Gesture recognition in smart phone by deep learning models- CNN-GRU and LSTM

Spindle

数据表型特征的挖掘

EEGdenoiseNet

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Python-ELM

Extreme Learning Machine implementation in Python

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

HHTpywrapper

Python Wrapper for Hilbert–Huang Transform MATLAB Package

tftb

A Python module for time-frequency analysis

pyhht

Python toolbox for the Hilbert-Huang transform

dl-eeg-review

Supplementary material for systematic literature review on deep learning and EEG.