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2015-jne-wronkiewicz

Leveraging anatomical information to improve transfer learning in brain–computer interfaces

apsim.docker

artemis

Tensorflow cancer detection resesarch

dbw

Dynamic brain workshop 2014; Network analysis

dbw_2015

Code for dynamic brain workshop 2015

decision

Data-driven Efficient Configuration of Instruments by Scientific Intent for Operational Needs (DECISION)

expyfun

Experimental paradigm functions.

friday-harbor

Starter code for the 2014 Dynamic Brain Workshop in Friday Harbor

generative-adversarial-networks

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

gridiron

Fantasy football analytics

kexp

Karl's Experiment

labsn_pubs

LABS^N's completed and published experiments

minerva

mne-hcp

MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mne-testing-data

Data for mne-python testing

mnefun

Facilitating lab integration with mne-python

networkx

Official NetworkX source code repository.

new-computer-setup

A collection of shell commands to simplify setting up new Linux computers for MEG analysis.

rsn

Detect resting state networks with classic ML and conv nets

sss_fine_cal

Fine calibration test work for signal space separation (SSS)

swdb-2015

Code for the 2015 Summer Workshop on the Dynamic Brain

ultrafinance

Python project for real-time financial data collection, analyzing && backtesting trading strategies