Mainak Jas's starred repositories
omission_frontiers
Analysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006 and Andersen, L. M. Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation. Front. Neurosci. 12, (2018). https://10.3389/fnins.2018.00261
glmnet-python
Wrappers of Jerome Friedman's coordinate-descent Fortran implementation of lasso/elastic net regression from the R "glmnet" package.
check_notebook
Command line tool to check notebooks (ie linter for notebooks)
bids-tools
Tools for dealing with neuroimaging data in the BIDS structure
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
all-contributors
✨ Recognize all contributors, not just the ones who push code ✨
Sound-Demo-Package
The purpose of this package is to show through a practical MATLAB example how DDWiener and SOUND can be used to clean noisy EEG data. The MATLAB programs also show how a simple three-layer spherical head model, needed for SOUND, can be computed with the theoretical locations of the electrodes.
mne_scipy2017
Slides for MNE talk at Scipy Conf. 2017
boontadata-streams
compare stream processing engines in terms of code, features, and performances