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GANs, Diffusion Models, Generative Tasks (txt2img, img2img, inpainting) #28
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Great job! 🤗 A few comments:
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Hello, i would like to help on this section, my discord username is cropinky. My introduction to adversarial learning was ESRGAN and i think it would be a cool part of this section. |
hey @sarthak247 thanks for coming up with this curriculum. I think it covers everything we need for this course. And I don't have much to add. With our new folder structure where .mdx and notebook files live in separate repos you also have a bit more flexibility in dividing the coding heavy parts from the theoretical ones. Definitely feel free to not squish it all into one file ;) |
Hey @merveenoyan, @sayakpaul would love your inputs on this one :) |
Great outlook to cover about GANs and diffusion models.
This might get too deep so I will leave it at your discretion to use it or just have fun reading/listening these sources 🤗. I just wanted to share as I enjoyed them and these gave me more insights about diffusion models as a whole. |
Greetings everyone,
Inspired by #19 , me and my fellow collaborators have also outlined a course curriculum for our section but we would like to have some inputs and feedback from the HF team before we finalise it and start working on it. This is our chosen structure so far.
INTRODUCTION
GANS & VAEs
Diffusion models
PRACTICAL APPLICATIONS & CHALLENGES
CC: @hwaseem04 , @mattmdjaga, @charchit7
BCC: @johko , @lunarflu , @merveenoyan
We would like to know if this course structure is suitable or do there need to be changes for this. In particular we are interested to know:
Thanks,
Sarthak (and @hwaseem04 , @mattmdjaga, @charchit7)
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