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Adaptive Common Spatio-Temporal Pattern (ACSTP) for Event-Related Potential (ERP) analysis.
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
Curated Collection of BCI resources
A curated list of awesome Machine Learning frameworks, libraries and software.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Motor Imagery Classification for Simultaneous EEG-fMRI data
Motor imagery movements decoding from EEG signals
A MATLAB toolbox for classifier: Version 1.0.7
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")
Cognitive mental workload classification using Machine learning algorithms.
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Some courses or papers I have learned
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices
MI-EEG recognition
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
Classification and Explanation Model of Brain Signal based on Deep Learning Model
Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
EEG Emotion classification using the DEAP pre-processed data
This repository save my work about GAN applied to motor imagery eeg signals
classification of four different motor imagery tasks based on EEG data
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
The code for the EEG-based ML emotion recognition.
Emotion classifer based on EEG singnals
EEG Emotion Classification algorithm - copy from private
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.