Scikit-learn compatible decision trees beyond those offered in scikit-learn

Homepage for NeuroData

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Prospective Learning in Foraging Settings

[Imaging Neuroscience] Multiscale Comparative Connectomics

Python package for multivariate hypothesis testing

Method container for computational neuroscience on brains.

Python package for automatic Gaussian mixture modeling

Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.