hubertjb / dl-eeg-tutorialLinks
Hands-on tutorial on deep learning for EEG classification.
☆81Updated last year
Alternatives and similar repositories for dl-eeg-tutorial
Users that are interested in dl-eeg-tutorial are comparing it to the libraries listed below
Sorting:
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- Generate statistical features from Electroencephalographic data☆93Updated 3 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- Material for Pybrain 2020 MNE-Python workshop☆139Updated 4 years ago
- Some tutorials for students of neuroscience☆116Updated 5 months ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated last year
- PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data☆157Updated last week
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆204Updated 2 years ago
- ☆36Updated 7 years ago
- Automatic EEG IC classification plugin for EEGLAB☆65Updated 2 months ago
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆37Updated 3 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆259Updated 2 years ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆70Updated 3 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆277Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆226Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Artifact Subspace Reconstruction for Python☆56Updated 2 months ago
- 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python☆204Updated last month
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- Real-time EEG Source-Mapping Toolbox (REST): Online ICA and Source Localization☆84Updated 6 months ago
- A library with tools for EEG analysis☆67Updated last year
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆35Updated 2 months ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆67Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆45Updated 11 months ago