Featured

• Neurodata Notebooks

  Jupyter Notebooks made by Neurodata lab members.

• graspologic (Graph Statistics)

  Utilities and algorithms designed for processing and analysis of graphs with specialized graph statistical algorithms

• MGC (Non-parametric hypothesis testing)

  Multiscale Graph Correlation (MGC) is a framework for universally consistent testing high-dimensional and non-Euclidean data.

• ndcloud (NeuroData Cloud)

  The deployment of tools which support the Open Connectome Project

• Sparse Projection Oblique Randomer Forests (Classification and regression)

  SPORF is an improved random forest algorithm that achieves better accuracy and scaling than previous implementations on a standard suite of >100 benchmark problems.

• LOL (Supervised dimensionality reduction)

  Linear Optimal Low-rank (LOL) projection for improved classification performance in high-dimensional classification tasks

• m2g (MR graph analysis)

  m2g uses diffusion MRI data from individuals to estimate connectomes reliably and scalably.

• reg (Image registration)

  Performs non-linear affine and deformable image registration.

Others