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An old dream comes true 🙂 I've worked with Python and PD to obtain some multi-controller interpolation with hard work but not great luck and now you are offerring us this magic... thanks a lot to the whole team for your effort!

Nice, thanks! Is it possible to save the model and then continue to build on it later?

❤

that was a long ass video for such a tiny amount of whacky noise at the end

FYI the description has the wrong link for the completed patch.

Amazing tutorial! Thanks for this! One question: in general, why you are never defining the size of the indices' buffer when creating it? For instance on ~indices = Buffer(s). On SC were not the buffers supposed to be statically loaded into the server? Or can their size vary under certain cases?

I LOVE how you talk about things❤ You literally wield the force at the end of the video AUM

Thanks! <3

heres hoping it eventually works in plugdata 🙏

Max isn't able to locate fluid.dataset~. I have all the dowloaded files in my Max search path. Am I missing something?

Incredible

Idk what the fuck this is but I love it

How can I make use of a huge batch of audio files with Fluid? I’m using supercollider, I’d love to make something new with these old emulator II samples I have

Yes to wireless!! Maybe for others😊

Brilliant call about destructive editing

Such a great interview with a wonderful artist. Thanks J.

😮

Great tutorials!! very comprehensive

i am the alien now

Thanks for these awesome tutorials!

a true artist

I'm getting a "Wrong Point Size" in the fluid.mlpclassifier object, yo... It appears when I click in the preditpoint message.

Is there any flucoma object that can plot these in a 3d space?

Just got through the six tutorials. Very cool. Thank you.

can we give an element more than one classification parameter?

How is it that you apply 9 filters but end up with 10 mel-frequencies????? I am writing a paper on this subject and it is killing me.

Thanks for this tutorial. Is there a PD tutorial or are you plannig to publish some information? Thanks in advance

error: FluidMLPClassifier not defined

Pij show me this masterpiece, thank you Rodrigo

That is the next level! Thank you very much!

Was this made with SuperCollider?

You all are amazing and I want this project to continue forever. What do I do.

Wonderful sounds - fantastic performance, like the cheeky little bleeeep at the end : )

you´re the best richard, an amazing and interesting process, such an inspiring and very informative job

There is now a part 6, a small addendum video that explains all the modifications needed to the final patch to get them to work with more than 256 slices: th-cam.com/video/jLPJaxFpY-s/w-d-xo.html

Hi, i keep getting the error message "fluid.kdtree~invalidbuffer"... i have changed the name of the dataset in both sub-patches .

Big thanks

could this be done with a real time source?

Promo-SM

thank you!

Back at y’all!! Max club4life😂

Thanks for sharing! It's a very interesting way to more precisely deal with this issue, I'll definitely try it

Love that this series is still producing episodes!!!

Great tutorial, great library. Very inspiring! Thank you!

Imagine having to repatch this when you arrive somewhere with your case haha

Where do I find the fluid.knnclassifier~ and fluid.mlpclassifier~ objects? They are not included in the max package...

amazing! I want to learn more about this work - and others! It must be quite a journey.

This is so amazing! Wonderful! Thank you so much! One question: What would you say is the advantage of using this great SC plugin for ML tasks instead of these big frameworks such as PyTorch and TensorFlow? Wouldn't it be possible to speak to those frameworks via OSC? Would it be too slow?

amazing, thank you!

can you make these podcasts available on podcast platforms like spotify, google podcasts etc.?