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Classification of Electroencephalogram (EEG) signals during the performance of two class Motor Imagery tasks by different subjects.
Bengali sentiment analysis
Code to perform experiments predicting the movement direction of a subject based on EEG data
Analyzing brain connectivity during sleep. Semester project - ETH Zürich - Summer 2018.
Classification and Analysis of EEG Signals using Machine Learning Algorithms
EEG Classification on dataset https://www.kaggle.com/datasets/wanghaohan/confused-eeg
EEG-based emotion classification using DEAP dataset
Improvement upon the IEEE Sensors Journal research of decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting.
[Project] CNN-based for single-channel sleep-state classification
Convolutional Neural Netowork for Independent Component Classificaiton
Survey on state of the art Deep Learning (DL) methods for EEG signal analysis.
Deep Learning with EEG.
Kaggle Competition: Automatic sleep stage classification
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.
Notebooks for cleaning, filtering, and performing ICA, Mass-univariate and Decoding analysis
As part of an effort to observe the workflow involved in the field of EEG signal classifcation, we have implemented two papers that we hope will showcase the range of differences and advancements in the data curation process, the methodologies adopted and the algorithms used.
feature extraction with auto Encoder and classification with XGboost
EEG Classification
A project that uses EEG data to classify human emotions using machine learning techniques.
Signal Processing and Machine Learning research work for a PhD in Physical/Athletic Education
EEG Classification
EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
Classifying EEG signals as a Face trial or a Car trial, based on the paper by Dr Paul Sajda - "Temporal characterization of the neural correlates of perceptual decision making in the human brain"
This project explores the relationship between deep learning and neuroscience to develop a classification model for EEG data analysis. The main focus is on diagnosing epilepsy, a neurological condition marked by uncontrollable seizures.
CNN for ERP classification of the AMUSE dataset.
Software for EEG BCI communication, along with companion IOS app.
In this repository we used a variant of the EEGNet in order to classify patients with epilepsia
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.