15 repository-uri
Awesome GitHub RepositoriesPython Toolboxes
Libraries and frameworks for processing and analyzing neural data in Python.
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Awesome Python Toolboxes GitHub Repositories
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- mne-tools/mne-python
mne-tools/mne-python
3,243Vezi pe GitHubMNE-Python is an open-source Python library for processing, visualizing, and analyzing human neurophysiological data, including MEG, EEG, sEEG, ECoG, and NIRS recordings. It provides a comprehensive framework for loading data from over 30 proprietary file formats into a common hierarchical FIF data structure, and represents all time-series data as NumPy arrays for seamless integration with the scientific Python ecosystem. The library is built around object-oriented data containers that encapsulate raw, epoched, evoked, and source data with built-in preprocessing and visualization methods. The
Comprehensive library for processing and visualizing neuroimaging data.
Pythonecogeegelectrocorticography - thunder-project/thunder
thunder-project/thunder
scalable analysis of images and time series
Scalable analysis of large-scale neural data.
Python - pyriemann/pyriemann
pyRiemann/pyRiemann
pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry.
Python library for Riemannian geometry-based signal classification.
Python - pia-group/biosppy
PIA-Group/BioSPPy
A toolbox for biosignal processing written in Python.
Python library for biosignal processing and analysis.
Python - eegsynth/eegsynth
eegsynth/eegsynth
The EEGsynth is a Python codebase released under the GNU general public license that provides a real-time interface between (open-hardware) devices for electrophysiological recordings (e.g., EEG, EMG and ECG) and analogue and digital devices (e.g., MIDI, lights, games and analogue synthesizers).…
Python framework for real-time EEG synthesis and processing.
Python - curiositry/eegrunt
curiositry/EEGrunt
Working with EEG (electroencephalography) data is hard, and this little library aims to make it easier. EEGrunt consists of a collection of functions for reading EEG data from CSV files, converting and filtering it in various ways, and finally generating pretty and informative visualizations.
Python tools for processing and analyzing EEG data.
Python - bbci/wyrm
bbci/wyrm
Wyrm is a Brain Computer Interface (BCI) toolbox written in Python. Wyrm is suitable for running on-line BCI experiments as well as off-line analysis of EEG data.
Python toolbox for BCI data analysis and classification.
Python - strfry/opennfb
strfry/OpenNFB
A Neurofeedback Software for Programmers
Python framework for real-time neurofeedback applications.
Python - lmbooth/pybci
LMBooth/pybci
A Python package to create real-time Brain Computer Interfaces (BCI's). Data synchronisation and pipelining handled by the Lab Streaming Layer, machine learning with Pytorch, scikit-learn or TensorFlow, leveraging packages like AntroPy, SciPy and NumPy for generic time and/or frequency based…
Python library for real-time BCI signal processing.
Python - bbci/pyff
bbci/pyff
How to use the FeedbackController
Python framework for feedback and BCI experiments.
Python - octopicorn/bcikit
octopicorn/bcikit
Toolkit and workbench for Brain Computer Interface (BCI) software development, for Python. Modular design built to play well with Machine Learning algorithms that follow python's scikit-learn interface.
Python toolkit for BCI signal processing and analysis.
JavaScript - arctop/mw75-streamer
arctop/mw75-streamer
Stream 12-channel EEG data from MW75 Neuro headphones with WebSocket, CSV, and LSL output support.
Python streamer for neurotechnology hardware integration.
Python - nmc-costa/neuroprime
nmc-costa/neuroprime
© 2021 nmc-costa. All Rights Reserved. “simplifyhit”™ is a trademark of nmc-costa.
Python tools for neural signal analysis and priming.
HTML - neurotechx/moabb
NeuroTechX/moabb
Mother of all BCI Benchmarks Build a comprehensive benchmark of popular Brain-Computer Interface (BCI) algorithms applied on an extensive list of freely available EEG datasets.
Benchmark framework for BCI algorithms and datasets.
