New Machine Learning Examples with LunchBoxML

Last year, we introduced LunchBoxML - a machine learning (ML) plugin for Grasshopper and Dynamo that uses the Accord framework. LunchBoxML introduces several generalized supervised and unsupervised learning tools to visual programming including regression analysis, neural networks, and mixture models. We have published a few new examples to the Bitbucket repository to demonstrate the application … Continue reading New Machine Learning Examples with LunchBoxML

Machine Learning with LunchBoxML

Earlier this summer, I previewed some of our research on machine learning which focused on potential applications for the building industry. I am now pleased to announce that these explorations have been released as a new extension to our LunchBox tools for Grasshopper: LunchBoxML. LunchBoxML exposes new open source components built on a popular machine … Continue reading Machine Learning with LunchBoxML

A Conductor, a LunchBox, and a spool of Conduit

The Proving Ground toolkit continues to grow and evolve. Last month we launched Conductor: a tool that connects AEC tools to Trello for task management.  LunchBox for Dynamo has had some cool updates in the last several months and Conduit has just had another major release! Conductor 1.0 - Trello Tools for Builders A year … Continue reading A Conductor, a LunchBox, and a spool of Conduit

The Things We Make – Part 2

We’re almost to the end of July and the summer team continues to work away on some amazing prototypes and workflows. Since the last blog post, we have been explored the use of packing algorithms to visualize building program relationships. We have mocked PowerBI dashboards using Revit data that was exported with the help of LunchBox … Continue reading The Things We Make – Part 2