Data Knot - Machine Learning tools for low latency real-time performance

So after quite a long time of development and documentation I am ready to release Data Knot v1.0 (formerly SP-Tools), a Max package of machine learning tools for low latency real-time performance. The package, along with a load of tutorial videos, will go live on the Max Package Manager next week on the 15th of October.

It’s a monumental update. The updated package is made up of 125 objects across 13 categories spanning low latency onset detection, onset-based and real-time descriptor analysis, classification and clustering, regression and prediction, corpus analysis and querying, synthesis and modeling, audio, data, and CV processing, and a slew of other abstractions that are optimized for low latency applications.

To celebrate the launch, I will be doing a livestream on YouTube at 8pm (GMT+1) / 3pm (EST). (livestream link, Discord event link)

Leading up to the launch I will be posting a couple of videos. The first is a mini teaser showing a bit of what’s in store with the second one being the full Performance and Musical Examples video.

https://www.youtube.com/watch?v=Cj8pLy8QcHY