Stars
A Python package for modular causal inference analysis and model evaluations
Project to maintain a database for CV/website rendering
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
A curated list of awesome BIDS projects, proposals, apps and resources
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Python package for causal discovery based on LiNGAM.
Publication-quality network visualisations in python
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
Python tools to find differences in Siemens protocol trees and sequence parameters
Creative interactive views of any dataset.
A lightweight package to plot brain surfaces with Python.
Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Uplift modeling and causal inference with machine learning algorithms
Command line interface for testing internet bandwidth using speedtest.net
python file reader/writer for Siemens MRI raw data + compression utility
Interactive plotting of ROC (and precision-recall) curves showing multiple metrics evaluations along the curve.
Plotting 4 brain surface views on a single matplotlib figure
a laundry list of resources for MRI, fMRI, EEG, MEG...
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
A package to create simple 3D network visualizations on a brain.