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
☆1,369Updated 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.☆1,085Updated 2 months ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,027Updated this week
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆330Updated 6 years ago
- Mother of All BCI Benchmarks☆845Updated 2 weeks ago
- A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.☆748Updated 5 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆624Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆229Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆315Updated 2 years ago
- An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learni…☆401Updated last year
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆452Updated 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.☆218Updated 7 years ago
- EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD☆690Updated this week
- EEG Experiments in Python☆515Updated last week
- Outdated, see new https://github.com/braindecode/braindecode☆330Updated 5 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆141Updated last month
- A list of all public EEG-datasets☆2,674Updated 2 weeks ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆263Updated 2 years ago
- ☆131Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆177Updated last year
- TorchEEG is a library built on PyTorch for EEG signal analysis.☆502Updated 9 months ago
- 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…☆17Updated 10 months ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆278Updated 6 months ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆255Updated 4 years ago
- ☆68Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆157Updated 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…☆211Updated 2 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago