hubertjb / dl-eeg-tutorial
Hands-on tutorial on deep learning for EEG classification.
☆70Updated 10 months ago
Alternatives and similar repositories for dl-eeg-tutorial:
Users that are interested in dl-eeg-tutorial are comparing it to the libraries listed below
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆140Updated last year
- Material for Pybrain 2020 MNE-Python workshop☆130Updated 4 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 7 months ago
- Some tutorials for students of neuroscience☆110Updated 2 weeks ago
- PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data☆144Updated 2 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆92Updated 2 years ago
- CNN classifier to classify MI-EEG signals☆48Updated 5 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆214Updated 10 months ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- Analyze and manipulate EEG data using PyEEGLab.☆61Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Real-time EEG Source-Mapping Toolbox (REST): Online ICA and Source Localization☆83Updated 3 weeks ago
- Youtube codes☆26Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆87Updated 2 years ago
- Applying Convolutional Neural Networks to EEG signal Analysis☆32Updated 3 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆58Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆65Updated 8 months ago
- Supplementary material for systematic literature review on deep learning and EEG.☆156Updated 5 years ago
- EEG motor-imagery data analysis using MNE and Pytorch☆32Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆80Updated 7 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- ☆43Updated 5 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆167Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆68Updated 7 months ago
- 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python☆195Updated last month
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆11Updated 3 years ago