Topic: mne Goto Github
Some thing interesting about mne
Some thing interesting about mne
mne,MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
User: aghaderi
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.
User: artainmo
mne,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.
User: aryakoureshi
mne,Predicting Cognitive Workload in Flight Simulations using EEG Spectral and Connectivity Features: Repository for Research Code and Results
User: basverkennis
mne,Jupiter notebook with EEG-data classification problem from the MNE library
User: baushkiner
mne,Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis
User: carlosfg97
mne,π§ + π Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
User: ciglenecki
mne,[DEPRECATED] EEG Frequency Visualizer - MNE
Organization: fcbg-hnp-meeg-archive
mne,Hand gesture classification by optomyographical sensor signals
Organization: gesture-classification
mne,A runner for the MNE BIDS Pipeline.
User: hoechenberger
mne,MNE-Python extension for VS Code
User: hoechenberger
mne,Task + repository planning & workflow documentation in Flemish Natura 2000 habitat monitoring
Organization: inbo
mne,Sampling frames for Flemish Natura 2000 (n2k) habitat (hab) monitoring programmes
Organization: inbo
mne,Mne-python source localization template
User: jdirani
mne,π§ Quality assessor for EEG recordings π§
User: julesbelveze
mne,Detection of autism through the machine learning and deep learning analysis of Magnetoencephalography scans.
User: julesgm
mne,A Deep Learning Library for State-Based EEG Analysis
User: konspatl
mne,Estimating evoked responses
User: manishthilagar
mne,MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Organization: mne-tools
Home Page: https://mne.tools/mne-bids/
mne,Basic repo to test BIDS app on MNE sample data (ds000248)
Organization: mne-tools
mne,MNE-CPP: A Framework for Electrophysiology
Organization: mne-tools
Home Page: https://mne-cpp.org/
mne,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
User: ninaspace
mne,Neural Architectures for the Detection of ASD using EEG and IRT
Organization: nirdslab
mne,Open source content from the Hi! PARIS Summer School 2022 π©βπ«
User: paulinamoskwa
mne,A python package for loading XDF files into MNE
User: richardkoehler
mne,A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
User: sappelhoff
Home Page: https://pyprep.readthedocs.io/en/latest/
mne,Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
User: sherazkhan
Home Page: https://www.pnas.org/content/114/48/E10465.full
mne,The repository contains codes to classify arithematic task data using tensorflow and keras
User: shreyagupta30
mne,Python routines for parsing of combined EEG and eye-tracking data
User: smathot
Home Page: https://pypi.org/project/eeg-eyetracking-parser/
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