YangWangsky / tf_EEGLearnLinks
A tensorflow implementation for EEGLearn
☆78Updated 6 years ago
Alternatives and similar repositories for tf_EEGLearn
Users that are interested in tf_EEGLearn are comparing it to the libraries listed below
Sorting:
- 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
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆67Updated 5 years ago
- ☆75Updated 3 years ago
- ☆133Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆232Updated last year
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆465Updated last year
- Matlab code for proccesing EEG signals.☆81Updated 7 years ago
- EEG Emotion classification using the DEAP pre-processed data☆161Updated 7 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆43Updated 6 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆341Updated 6 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- PyTorch implementation of TSception☆82Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆260Updated 4 years ago
- Realtime emotion recognition from EEG data.☆164Updated 7 years ago
- ☆45Updated 6 years ago
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 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 …☆148Updated 3 months ago
- ☆108Updated 6 years ago
- ☆68Updated 6 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Updated 5 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆109Updated 5 years ago
- Outdated, see new https://github.com/braindecode/braindecode☆331Updated 5 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Updated 7 years ago
- Demonstrate the code used in "Using Recurrent Neural Networks for P300-Based Brain-Computer Interface"☆31Updated 7 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆91Updated 7 years ago