IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

IPython notebook covering the basics of magnetic resonance analysis

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

A data-driven method to identify and remove motion-related independent components from functional MRI data.

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

DICOM to Nifti conversion with meta data preservation

Package to house all the image analysis functionality for breast MRI QA

Gradient Unwarping in Python

MRS processing tools

Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.

An Ansible module for managing Python packages via Conda

Open Ephys GUI with plugin architecture

Workflows and interfaces for neuroimaging packages

A collaborative educational initiative in computational science and engineering.

Medical image processing in Python