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Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models
Matlab utilities to automatically test different techniques of blind source separation. I developed this during my master thesis in order to test artefact removal on EEG data.
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
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")
CNN可视化、理解CNN
: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、Java、Python、C++
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
RNNs on EEG Data
Process and analyse EEG brain signals using EEGlab
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
A list of all public EEG-datasets
Removal of EOG artifacts from EEG using Adaptive Filtering
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs)
AAR plug-in for EEGLAB
关于Python的面试题
TFT and touch pad drivers for LVGL embedded GUI library
Embedded graphics library to create beautiful UIs for any MCU, MPU and display type. It's boosted by a professional yet affordable drag and drop UI editor, called SquareLine Studio.
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
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
Convolutional Neural Networks On Ninapro datasets
Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
Qt编写的一些开源的demo,预计会有100多个,一直持续更新完善,代码简洁易懂注释详细,每个都是独立项目,非常适合初学者,代码随意传播使用,拒绝打赏和捐赠,欢迎留言评论!
一个具有高拓展性的Java多线程爬虫框架reptile 0.2版本
A tensorflow implementation for EEGLearn
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.