top | item 44281148 Tiny-diffusion: A minimal implementation of probabilistic diffusion models 96 points| BraverHeart | 8 months ago |github.com 5 comments order hn newest aestuans|8 months ago This is very cool. I implemented a slightly more complicated version of this with class guidance a while ago: https://github.com/aestuans/mnist-diffusion aswanson|8 months ago This is where I see edge ai going. Minimal implementations running on embedded systems everywhere. endymion-light|8 months ago Full agree - this is where AI is finding it's main useful niche. Massive models are fun to use but specialization within embedded systems is the clincher. load replies (1) barbarr|8 months ago Very cool showing the outputs of hyperparameter search. Hopefully this gets someone out of a tuning tarpit! stereobeings|8 months ago [deleted]
aestuans|8 months ago This is very cool. I implemented a slightly more complicated version of this with class guidance a while ago: https://github.com/aestuans/mnist-diffusion
aswanson|8 months ago This is where I see edge ai going. Minimal implementations running on embedded systems everywhere. endymion-light|8 months ago Full agree - this is where AI is finding it's main useful niche. Massive models are fun to use but specialization within embedded systems is the clincher. load replies (1)
endymion-light|8 months ago Full agree - this is where AI is finding it's main useful niche. Massive models are fun to use but specialization within embedded systems is the clincher. load replies (1)
barbarr|8 months ago Very cool showing the outputs of hyperparameter search. Hopefully this gets someone out of a tuning tarpit!
aestuans|8 months ago
aswanson|8 months ago
endymion-light|8 months ago
barbarr|8 months ago
stereobeings|8 months ago
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