Hero John's repositories
advanced_training
Advanced Scikit-learn training session
Analyzing_Neural_Time_Series
python implementations of Analyzing Neural Time Series Textbook
applied-deep-learning-resources
A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
awesome-bci
Curated Collection of BCI resources
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
buffer_bci
Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s
COMPSCI-589
Open source applied machine learning course
decod_unseen_maintenance
This repository stores all scripts to analyze MEG data from the eponymous manuscript.
decoding-brain-challenge-2016
Code and documentation for the winning solution to the Decoding Brain Signals Cortana challenge
Grasp-and-lift-EEG-challenge
Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge
grasp-lift-eeg-cat-dog-solution-updated
This is our attempt to get the code of Cat & dog to run in our local machine just to get an idea of how the system works.
labstreaminglayer
Multi-modal time-synched data transmission over local network
learning-from-data
programming assignments for cal tech machine learning class
mlseminars-autoencoders
Jupyter notebook of my autoencoder presentation
MNE-Python_PreprocessingMEG
Python Class for processing MEG data. Supported by MNE-Python.
neuroscience_tutorials
Some tutorials for students of neuroscience
odscon-2015
Slides and material for open data science
pykernels
Python library for working with kernel methods in machine learning
scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
sklearn_pydata2015
Scikit-Learn Tutorial for PyData Seattle 2015
Summerschool_2015
Deep Learning DTU summer school 2015
wyrm
Python toolbox for Brain-Computer Interfacing (BCI)