muzakthings

A PyTorch-based musical mel-frequency transform for audio processing, optimized for performance and ONNX compatibility.

If you've ever wanted audio features that directly represent semitones (or quarter tones!) this is the package for you.

very cool. how are you creating the control vectors? curious since the word "cold" can be both a conversational disposition and a temperature (same word)

I would love to see an ELI5 writeup of this. For instance, I can't quite warp my head around - how are they storing neuron state in the lattice?

what kind of DSP were you doing? can I come work for you haha

this is super cool. do you think the primary demand driver for your sales will be 1) gov't mandates, or 2) cattle farmers wanting to differentiate their meat to eco-conscious customers / retailers? just curious about how you see the market.

Right. The opacity setting is superimposed after the tile assignment. Thus you can have both.

I’ve found that opacity if 0.7 is often a nice compromise.

Both! You can experiment with —-best-k and —randomness <1.0 and sort of get things in the middle.

Basically what this will do is assign each tile less than 100% of the time randomly and then for each that isn’t, you choose among the top best K matches on L2 distance with equal probability. Gives it a little bit of both.

Totally. Everything improves with more images since that’s your palette for painting, so to speak. The ones I posted were with less than 100 images so you can definitely do better.

L*b was very slow, yes. It’s all done offline but I tend to like quicker feedback...