The purpose of the Owl plug-in is to constitute a new data type named Tensor, thanks to which the Grasshopper users will be able to work with so-called "big-data". This will further open up new possibilities to use more sophisticated machine-learning tools, which require big data sets to be effective. 

The core library of the Owl plug-in is open sourced, and provides the developers with methods to read/write and use the Tensor data within the GH (and outside of it).

Additionally the Owl.Accord.GH.gha plug-in is the first extension based on the Owl core, utilizing few of the machine-learning methods sourced from the Accord framework. 

Download at: http://www.food4rhino.com/app/owl

Core libraries, open-sourced: https://github.com/mateuszzwierzycki/Owl

NuGet packages: 

Install-Package Owl.Core

Install-Package Owl.GH.Common 

Some parts of the plug-in depend on the Accord framework: https://github.com/accord-net/framework