hubertjb / dl-eeg-tutorialLinks
Hands-on tutorial on deep learning for EEG classification.
☆78Updated 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:
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆64Updated 5 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆68Updated 11 months ago
- Some tutorials for students of neuroscience☆116Updated 3 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆106Updated 2 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆156Updated 5 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆225Updated last year
- Material for Pybrain 2020 MNE-Python workshop☆138Updated 4 years ago
- Generate statistical features from Electroencephalographic data☆93Updated 2 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆251Updated 2 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆61Updated 4 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆72Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data☆155Updated 2 months ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆276Updated 2 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆200Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆91Updated last month
- ☆130Updated 2 years ago
- Deep learning model for EEG artifact removal☆74Updated 3 years ago
- ☆44Updated 6 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Automatic EEG IC classification plugin for EEGLAB☆64Updated last month
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- This repository provides a collection of example codes and tutorials for EEG data analysis using MNE-Python. The scripts are designed to …☆26Updated last month
- ☆36Updated 7 years ago
- Real-time EEG Source-Mapping Toolbox (REST): Online ICA and Source Localization☆84Updated 4 months ago
- 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python☆202Updated last week