vlawhern / arl-eegmodelsLinks
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
☆1,416Updated 3 years ago
Alternatives and similar repositories for arl-eegmodels
Users that are interested in arl-eegmodels are comparing it to the libraries listed below
Sorting:
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆1,114Updated 4 months ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,085Updated last week
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆344Updated 6 years ago
- A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.☆753Updated 5 years ago
- Mother of All BCI Benchmarks☆874Updated this week
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆278Updated 3 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆655Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆234Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆325Updated 2 years ago
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆465Updated last year
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆150Updated 4 months ago
- EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD☆705Updated last week
- Outdated, see new https://github.com/braindecode/braindecode☆331Updated 5 years ago
- An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learni…☆399Updated last year
- A list of all public EEG-datasets☆2,792Updated last month
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆22Updated last year
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆219Updated 8 years ago
- ☆133Updated 2 years ago
- TorchEEG is a library built on PyTorch for EEG signal analysis.☆522Updated 2 weeks ago
- EEG Experiments in Python☆529Updated this week
- Attention temporal convolutional network for EEG-based motor imagery classification☆290Updated 2 months ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆267Updated 2 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆20Updated 4 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python☆498Updated last year
- Realtime emotion recognition from EEG data.☆165Updated 7 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆261Updated 4 years ago
- ☆68Updated 6 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆220Updated 2 years ago