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Weiming Li's Projects

master-thesis-cybathlon icon master-thesis-cybathlon

Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race

meta-analysis-statistical-tools icon meta-analysis-statistical-tools

This repository describes and offers a module for running traditional meta-analysis of randomized controlled trials (RCT) and a systematic analysis of biases (SAOB), an approach meant to identify the individual contribution of methodological and technical biases to the intervention efficacy (see Bussalb et al., 2019).

mind_over_music icon mind_over_music

Code for the paper 'A Novel Approach to EEG Neurofeedback via Reinforcement Learning' (Presented at IEEE Sensors 2020).

mindlink-explorer icon mindlink-explorer

MindLink is an open source system which combines EEG and facial expressions to classify emotions of human. This is a project lunched by MindLink-Exploring developers.

mindpatterning icon mindpatterning

Code for my long term 'Mind Patterning' project, will read brain EEG data from a headset and then train a TensorFlow model on the data to recognise different states of mind.

mindwave-python icon mindwave-python

Linux and Mac-friendly Python parser to connect and interact with multiple NeuroSky MindWave headsets from one machine.

mitm icon mitm

repository for machine_in_the_middle

ml-visuals icon ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mml-book-chinese icon mml-book-chinese

《Mathematics For Machine Learning》机器学习中的数学 中文版

mne-example icon mne-example

EEG信号を処理するライブラリmneの勉強🧠

motor-imagery icon motor-imagery

Record MI data, analyse the results, and find the best classifier!

mw_eeg_cnn icon mw_eeg_cnn

Code for Jin, C. Y., Borst, J. P., & van Vugt, M. K. (2020). Decoding Study-Independent Mind-Wandering from EEG using Convolutional Neural Networks.

myeeg icon myeeg

React website to retrieve EEG data from a Muse headband and display the information in different relevant ways to better understand and analyse this data. Moreover, it has a data labelling recorder useful for supervised learning in machine learning related to understanding the brain.

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