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I'm about to start an experimental project that involves training a denoising diffusion model on the medical data (small dataset).

Could you please share useful resources, tips, tricks and heuristics for dealing with diffusion models?
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Try to get your data as close as possible to a normal distribution with a low variance. What type of data?
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Do you want server space? i'm happy to help if you need it LMK im running 2x RTX A6000 with a I9 13K processor it should be able to help
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I'm also starting a similar project, but it just involves writing DDPM from scratch.
In the past few days I saw some papers regarding diffusion in the medical domain, maybe you can skim through that and see how they are used in that domain.
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Здравствуйте уважаемые господа я из Кыргызстана и изобрёл Вечный двигатель и от воздуха работаюший и отопления можно получать без огня опсолютно без огня Господа надо делать первую чтоб люди видели и поверили на  Вечнвй двигатель господа ишо в мире нету такой система господа я зделаю Вечный Двигатель ишо не кому не удалось мой телефон Кыргызстане +996 707  52 42 17 или+996 770 77 77 44 Кеңешбек звоните или СМС пишите пожалуста господа я сейчас болею инсультом реч не понятно господа
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