huitengteng's Stars
ispamm/MHyEEG
Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
MedMaxLab/selfEEG
selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
Miracle-2001/GNN4EEG
chenyuntc/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
torcheeg/torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
DashanGao/Federated-Transfer-Learning-for-EEG
This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
wzhlearning/fNIRS-Transformer
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
Archaeoraptor/PhysicalSignalAcquisitonDevice
a device for EEG and ECG measuring based on ADS1299。 心电、眼电、脑电采集设备，生物医学工程创新设计竞赛作品
TingsongYu/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
hehonghui/awesome-english-ebooks
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
Fafa-DL/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
cai-hust/manim-tutorial-CN
manim中文入门教程
jackfrued/Python-100-Days
Python - 100天从新手到大师
MikeMpapa/CogBeacon-MultiModal_Dataset_for_Cognitive_Fatigue
CogBeacon is a multi-modal dataset designed to target the effects of cognitive fatigue in human performance. The dataset consists of 76 sessions collected from 19 male and female users performing different versions of the Wisconsin Card Sorting Test (WCST); a popular cognitive test in experimental and clinical psychology designed to assess cognitive flexibility, reasoning and specific aspects of cognitive functioning. During each session we record and fully annotate, user's EEG functionality, facial keypoints, real-time self-reports on cognitive fatigue, as well as detailed information of the performance metrics achieved during the cognitive task (success rate, response time, number of errors etc.). Along with the dataset we provide a baseline Machine Learning analysis towards predicting cognitive fatigue and our multi-modal implementation of the WCST, to allow other researches expand or modify the functionalities of the CogBeacon data-collection framework. To our knowledge, this is the first multi-modal dataset specifically designed to assess cognitive fatigue.
ziyujia/Physiological-Signal-Classification-Papers
A list of papers for physiological signal classification using machine learning/deep learning.
mwrazam/fatigue-detection-eeg
Classification of Fatigue in Consumer-grade EEG Using Entropies as Features
Sreyan88/Fatigue-Detection-using-Deep-Learning
This is a project based on a research paper to detect fatigue levels of a person through a photograph.
baiyang4/Sjogrens_questionnaire
Fatigue Assessment using ECG and Actigraphy Sensors (ISWC 2020)
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TeFuirnever/Machine-Learning-in-Action
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
TheAlgorithms/Python
All Algorithms implemented in Python
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning