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The Top 23 Python Eeg Open Source Projects

Open source projects categorized as Python Eeg
Osl ⭐ 24
OHBA Software Library - MEG/EEG Analysis Tools
most recent commit 3 months ago
Deep Learning Emotion Decoding Using Eeg Data From Autism Individuals ⭐ 24
Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner [email protected]
most recent commit 7 months ago
Eegmotorimagery ⭐ 24
EEG motor imagery classification using convolutional neural networks
most recent commit a year ago
Sleep_staging_shhs ⭐ 24
Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"
most recent commit 7 years ago
Eegsignalanalysis ⭐ 23
Analysis of EEG signals obtained from EMotiv device
most recent commit 6 years ago
Dug ⭐ 23
Exploratory project to extract actionable signal from a custom electroencephalogram (EEG) cap we are building for a dog.
most recent commit 4 years ago
Adast ⭐ 23
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
most recent commit 7 months ago
Rteeg ⭐ 23
[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
most recent commit 6 years ago
Pyemotiv ⭐ 22
A Python library for data acquisition from the Emotiv Epoc EEG headset, using the research SDK.
most recent commit 10 years ago
Mdla ⭐ 22
Multivariate Dictionary Learning Algorithm
total releases 3most recent commit 6 months ago
Brain_typing ⭐ 21
Codes, data for brain typing paper.
most recent commit 2 years ago
Rgnn ⭐ 21
The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
most recent commit 3 years ago
Nice ⭐ 21
NICE project for MEG and EEG data analysis.
most recent commit 2 years ago
Ssvep Neural Generative Models ⭐ 21
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
most recent commit 3 years ago
Easylearn_dev ⭐ 20
Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatri
most recent commit 3 years ago
Pybv ⭐ 20
A lightweight I/O utility for the BrainVision data format, written in Python.
most recent commit 4 months ago
Dipole Simulator ⭐ 20
Interactive demonstration of how dipole location and orientation affect MEG and EEG sensor signals
most recent commit 2 years ago
Pypte ⭐ 19
Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
most recent commit 5 months ago
Signal2image Modules In Deep Neural Networks For Eeg Classification ⭐ 19
most recent commit 3 months ago
Mne_microstates ⭐ 18
Microstate analysis for use with MNE-Python
total releases 2most recent commit 2 years ago
Pymne.jl ⭐ 18
Julia interface to MNE-Python via PythonCall
most recent commit 8 months ago
Brainpad ⭐ 18
Classification of EEG signals from the brain through OpenBCI hardware and Tensorflow-Keras API
most recent commit 2 years ago
Eeg Emotions ⭐ 18
Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
most recent commit 3 years ago
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