normandipalo / eeg-to-action
Deep Learning applied to classifying intentional arm movements from brain activities.
☆30Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for eeg-to-action
- Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for E…☆57Updated 9 years ago
- For my current research.☆39Updated 6 years ago
- ☆9Updated 4 years ago
- Deep Learning on Fused Brain and Heart Signals for Mental Disorder Detection☆17Updated 9 years ago
- Deep neural network (DNN) with weight sparsity control (i.e., L1-norm regularization) improved the classification performance using whole…☆22Updated 3 years ago
- tensorflow2.x implementations of Generative Adversarial Networks.☆32Updated 3 years ago
- ☆52Updated 7 years ago
- Python implementations of machine learning algorithms for motion artifact detection in electrodermal activity (EDA) data☆16Updated 7 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆102Updated 4 years ago
- Python implementation of signal processing techniques and K-means clustering to sort spikes.☆82Updated 5 years ago
- This is the first Open Access and 100% reproducible PhD thesis since the establishment of University of Birmingham in 1900. [Submitted: 2…☆9Updated 3 years ago
- Emotion recognition from multi-channel biosignal by using convolutional and recurrent neural network☆14Updated 7 years ago
- A tensorflow implementation for EEGLearn☆78Updated 5 years ago
- Graph saliency maps through spectral convolutional networks for brain mapping☆32Updated 6 years ago
- A collection of algorithms for use with RGB-D data.☆40Updated 10 years ago
- A Python 3 toolbox to develop Brain-Computer Interfaces (BCI)☆67Updated 5 years ago
- Work in progress about activity recognition/prediction using wearable sensors information☆16Updated 4 years ago
- Code for Team HEDJs submission for Kaggle's Grasp and Lift EEG Detection Contest☆15Updated 9 years ago
- code for decoding speech as text from neural data☆56Updated this week
- Code and documentation for seizure prediction from EEG data☆55Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- ☆32Updated 5 years ago
- Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly …☆52Updated 2 years ago
- Feature selection via dependence maximization for EEG based emotion classification.☆52Updated 10 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- ☆24Updated 8 years ago
- Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle☆96Updated 7 years ago
- A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example☆19Updated last year
- solution for the American Epilepsy Society Seizure Prediction Challenge☆69Updated 6 years ago