akaraspt / deepsleepnetLinks
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
☆472Updated last year
Alternatives and similar repositories for deepsleepnet
Users that are interested in deepsleepnet are comparing it to the libraries listed below
Sorting:
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆264Updated 4 years ago
- EEG Sleep stage classification using CNN with Keras☆182Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆165Updated 2 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆222Updated 8 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆109Updated 2 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Updated 3 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆357Updated 6 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 …☆155Updated 6 months ago
- Outdated, see new https://github.com/braindecode/braindecode☆332Updated 5 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆238Updated last year
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆267Updated 2 years ago
- An open-source sleep stage classification Python package☆112Updated 4 months ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆63Updated 8 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Updated 5 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆332Updated 2 years ago
- A tensorflow implementation for EEGLearn☆78Updated 6 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 6 years ago
- ☆78Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆69Updated 5 years ago
- Python + EEG/MEG = PyEEG☆259Updated 2 years ago
- ☆69Updated 7 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆133Updated 5 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆96Updated 7 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆232Updated 2 years ago
- A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).☆383Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆94Updated 8 years ago
- ☆133Updated 3 years ago