normandipalo / eeg-to-actionLinks
Deep Learning applied to classifying intentional arm movements from brain activities.
☆30Updated 7 years ago
Alternatives and similar repositories for eeg-to-action
Users that are interested in eeg-to-action are comparing it to the libraries listed below
Sorting:
- Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for E…☆58Updated 10 years ago
- ☆50Updated 6 years ago
- A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…☆24Updated 4 years ago
- MRI analysis using PyTorch and MedicalTorch☆65Updated 6 years ago
- Portfolio Project for DSR: Modelling Parkinson Disease Progression☆27Updated 6 years ago
- Code for Team HEDJs submission for Kaggle's Grasp and Lift EEG Detection Contest☆15Updated 10 years ago
- ☆64Updated 2 years ago
- ☆25Updated 4 years ago
- ☆39Updated 7 years ago
- Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 …☆52Updated 7 years ago
- Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly …☆53Updated 2 months ago
- A collection of algorithms for use with RGB-D data.☆40Updated 11 years ago
- Contains all presentations for Deep Learning Sydney Meetup 2018 02☆18Updated 7 years ago
- Project for the Advanced Multimodal Machine Learning course at CMU.☆14Updated 9 years ago
- TensorFlow 1.x Deep Learning Cookbook, published by Packt☆86Updated 2 years ago
- Emotion recognition from multi-channel biosignal by using convolutional and recurrent neural network☆14Updated 8 years ago
- Implementation of the HMAX model of vision in PyTorch☆60Updated 2 years ago
- ☆54Updated 8 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example☆20Updated 2 years ago
- ☆24Updated 9 years ago
- This is the repo for the Free Code Camp article, "How to build an image classifier with greater than 97% accuracy." Classifier utilizes P…☆45Updated 6 years ago
- Udacity Connect Session at Infosys☆22Updated 7 years ago
- The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, back…☆26Updated 9 years ago
- ☆27Updated 7 years ago
- Object detection using OpenCV Haar Feature-based Cascade Classifiers☆29Updated 11 years ago
- Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle☆97Updated 8 years ago
- Tensorflow tutorial on convolutional neural networks.☆39Updated 7 years ago
- Models built with TensorFlow☆34Updated 8 years ago
- MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection☆16Updated 7 years ago