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Mnist Neural network visualization in Odin and Raylib. All cubes now have an opacity based on their activation/weight. I think the codebase is almost ready to be made public

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Bones

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48,202 görüntüleme • 1 yıl önce •via X (Twitter)

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Jack Wind profil fotoğrafı
Jack Wind1 yıl önce

This is awesome - how much work would be needed to make this library compatible with any torch compatible neural net?

Bones profil fotoğrafı
Bones1 yıl önce

I'd say for small models it should be simple, but if you have millions of nodes the viz wouldn't be able to handle it, it would require a lot more optimizations

hyena profil fotoğrafı
hyena1 yıl önce

these sorts of tools would’ve been great in my ml classes, consider continuing building educational visualizations like this / collaborating with professors if that interests you. you’re a great dev bones

Bones profil fotoğrafı
Bones1 yıl önce

Thanks :) One of my older projects was discovered by a professor somehow, and they’re actually using it. But I’m still not sure how to make my work more visible to the academic community though

Covix profil fotoğrafı
Covix1 yıl önce

absolutely love this, great stuff mr bones

Ｍｙｓｔｉｑｕｅ profil fotoğrafı
Ｍｙｓｔｉｑｕｅ1 yıl önce

Startup idea, "ViziGrad"... dynamic model visualization (or modeling in general) as a service... MaaS. Go to the landing page, upload your weights, view the mapping... like an MRI machine, but for NNets.

p profil fotoğrafı
p1 yıl önce

@yacineMTB Wow, what a beauty!

Andy Mckee (Hanuman) profil fotoğrafı
Andy Mckee (Hanuman)1 yıl önce

I need a total hour tally for the time you spent on this

Bones profil fotoğrafı
Bones1 yıl önce

i don't have an exact hour count, i've been working on this in my free hours for about a month now

tom profil fotoğrafı
tom1 yıl önce

impressive, as always

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Mnist neural network visualization written from scratch in Odin and Raylib. repo: I'm still new to Odin so if you see a way to imporve something, let me know :)
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