Only one sticker.

I go door-to-door every Sunday, "Excuse me dear sir/madam, do you have a moment to talk about our lord and savior Haskell?".

Most people slam the door shut in my face, but every lost family I convert to the way of the monad is worth it.

Even if they don't believe in the same deity, even if they express their love for the divine through something as misguided as Typescript or Swift or whatever, as long as they embrace the truth of strong types and composable code, as long as they at least read the gospel of the functional style once in their lives, have one enlightened moment where they see the glory of morphisms, it's all good.

A good thing to share for now :- Artificial Intelligence neural networks !

This week I reached a major milestone in a Machine Learning/Music Analysis project that I've been working on for a long time!!

I'm really proud to launch 'The Harmonic Algorithm' as an open source project! It represents the evolution of something that's grown with me through two thesis' (initially in music analysis and later in creative computation) and has been a vessel for my passion in both Music and Computation/Machine Learning for a number of years.

For more info, detailed usage examples (with video clips) and installation instructions for anyone inclined to try it out, have a look at the GitHub repo for the project:

https://github.com/OscarSouth/...

"The Harmonic Algorithm, written in Haskell and R, generates musical domain specific data inside user defined constraints then filters it down and deterministically ranks it using a tailored Markov Chain model trained on ingested musical data. This presents a unique tool in the hands of the composer or performer which can be used as a writing aid, analysis device, for instrumental study or even in live performance."