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.
sounds great. looking forward to it!
Here's the full performance video:
first useful application of AI.
Hi Rodrigo
Thank you for the release of this very nice package
On several examples I have an error message on each triggered frame
fluid.list2buf: Internal buffer u242029699 not initialised and called on high-priority thread. Either initialise object with size, or call on main thread
Any idea how I can fix that ?
This seems to have been fixed with the v1.0.1 update that came out a couple days ago. Upgrade to that and let me know if that fixes it.
Fixed, thanks !