Supporting code for the GX Dataset

EEG based Emotion Detection Simulation based on Deap Dataset

Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment …

Realtime emotion recognition from EEG data.

This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more…

EEG data processing and it's convolution using AutoEncoder + CNN + RNN

EEG-Based Emotion Recognition

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

[MICCAI 2024] Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction

This is a pytorch implementation for the paper CadioID: learning to identification from electrocardiogram data.

Source code of "CLINet: A Novel Deep Learning Network for ECG Signal Classification", accepted in Journal of Electrocardiology 2024

使用python编写心电相关的算法，包括滤波，R波识别，心率计算，特征提取，心率失常分类，房颤，室颤/室速，伪差干扰研究等相关算法，以及较好的可视化功能，和一些测试工程

GraphCNN + CNN Network for EEG Emotion Recognition

Emotions classification using the SEED-V database from BCMI

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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

EEG Sleep stage classification using CNN with Keras

毕业项目

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

中文分词

nlp in action

深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

邱锡鹏《神经网络与深度学习：案例与实践》PyTorch 实现

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

Gihan Jayatilaka, Harshana Weligampola, Suren Sritharan, Pankayaraj Pathmanathan, Roshan Ragel and Isuru Nawinne, "Non-contact Infant Sleep Apnea Detection," 2019 14th Conference on Industrial and …

A solution for collaborative pattern analysis of neuroimaging data.