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ad

Individualized diagnosis of preclinical Alzheimer’s Disease using deep neural networks Q1

alzheimer

阿尔兹海默症的识别--DataFountain

alzheimer-s-classification-eeg

Alzheimer’s Disease (AD) is the most common neurodegenerative disease. It is typically late onset and can develop substantially before diagnosable symptoms appear. Electroencephalogram (EEG) could potentially serve as a noninvasive diagnostic tool for AD. Machine learning can be helpful in making inferences about changes in frequency bands in EEG

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

awesome-cs-books

计算机优质电子书整理，并且附带pdf下载链接，包括C，C++，Java，Python，Java，Linux，Go，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

blockchain_go

A simplified blockchain implementation in Golang

brain2020

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

caueeg-ceednet

This repository is the official implementation of "Deep learning-based EEG analysis to classify mild cognitive impairment for early detection of dementia: algorithms and benchmarks" from the CNIR (CAU NeuroImaging Research) team.

cnn_design_for_ad

Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"

competition-baseline

数据科学竞赛知识、代码、思路

computer_vision

This repository includes the code of Computer Vision, such as Object Detection, Semantic segmentation，Pedestrian re-identification and so on.The code is implemented in Tensorflow2.0+ and Pytorch.If you like it, Please give me a star,thanks!

convtran

This is a PyTorch implementation of ConvTran

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cv

✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepeeg

DeepEEG 是一个 Keras/Tensorflow 深度学习库，它处理来自 MNE 工具箱的 EEG 试验或原始文件作为输入，并预测二元试验类别作为输出（可以扩展到多类？）。

ds004504

OpenNeuro dataset - A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects

eeg-diffusion-pytorch

An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.

eegdataset-on-the-internet

Public EEG Dataset on the internet

everyone-can-use-english

人人都能用英语

fabric-course

firsttest-demo

测试仓库

gazecapture

Eye Tracking for Everyone

github-slideshow

A robot powered training repository :robot:

gitlove

go

【Go 从入门到实战】学习笔记，从零开始学 Go、Gin 框架，基本语法包括 26 个Demo，Gin 框架包括：Gin 自定义路由配置、Gin 使用 Logrus 进行日志记录、Gin 数据绑定和验证、Gin 自定义错误处理、Go gRPC Hello World... 持续更新中...

goguide

「Go语言学习指南」一份涵盖大部分 Golang 程序员所需要掌握的核心知识，拥有 Go语言教程、Go开源书籍、Go语言入门教程、Go语言学习路线。零基础学习 Go语言、Go编程，首选 GoGuide。

hands-on-data-analysis

动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果