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
☆1,397Updated 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.☆1,105Updated 3 months ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,057Updated last week
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆335Updated 6 years ago
- A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.☆749Updated 5 years ago
- Mother of All BCI Benchmarks☆864Updated last month
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆465Updated last year
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆639Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆232Updated last year
- EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD☆704Updated last week
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆320Updated 2 years ago
- EEG Experiments in Python☆526Updated this week
- A list of all public EEG-datasets☆2,755Updated 3 weeks ago
- 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
- Outdated, see new https://github.com/braindecode/braindecode☆330Updated 5 years ago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 …☆147Updated 3 months 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
- TorchEEG is a library built on PyTorch for EEG signal analysis.☆511Updated 10 months ago
- ☆132Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- 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 11 months ago
- YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.☆513Updated 7 months ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆259Updated 4 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆285Updated last month
- Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python☆486Updated last year
- Realtime emotion recognition from EEG data.☆164Updated 7 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆264Updated 2 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆182Updated 6 years ago