Open source content from the Hi! PARIS Summer School 2022 👩🏫
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Updated
Jul 10, 2022 - Jupyter Notebook
Open source content from the Hi! PARIS Summer School 2022 👩🏫
This is the repository of a course project in neuroinformatics. The project was about using autoencoder anomaly detection in order to detect button presses in EEG data.
A website that allows users to upload EEG and similar files and the user can make certain filtering/preprocessing selections that apply to graph visualization. Worked on this project in CMPS 420 using libraries like MNE, Plotly, and Django
Detection of autism through the machine learning and deep learning analysis of Magnetoencephalography scans.
Sampling frames for Flemish Natura 2000 (n2k) habitat (hab) monitoring programmes
DhW: Decoding the hidden Waves
The repository contains codes to classify arithematic task data using tensorflow and keras
Estimating evoked responses
A python package for loading XDF files into MNE
42 school project. Process EEG datas by cleaning, extracting, creating a ML pipeline implementing a dimensionality reduction algorithm before finding the right classifier and handling a real time data-stream with sklearn.
Task + repository planning & workflow documentation in Flemish Natura 2000 habitat monitoring
This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.
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