A dashboard to administer ROAR assessments

Set up a ROAR app by running one command

Parallel S3 and local filesystem execution tool.

Infrastructure and code for the dandihub

SciKIt-learn Pipeline in PAndas

A framework for developing neural network models for 3D image processing.

Deep Learning for humans

Medical imaging processing for AI applications.

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

Common workflows for MRI (anatomical, functional, diffusion, etc)

Statistical package in Python based on Pandas

A general purpose citizen science game template for scientific research

Yeatman Lab Swipes For Science

Functional Data Analysis Python package

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Confidence intervals for scikit-learn forest algorithms

Brain Imaging Data Structure (BIDS) Specification

A citizen science game to assess the quality of children's brain images

Pandas integration with sklearn

groupyr: Sparse Group Lasso in Python

Instructor Training

Introduction to dMRI

Animation engine for explanatory math videos

Interactive dmriprep report HTML, JS & CSS

Preprocessing of diffusion MRI

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

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

Materials for NH2020