/Diffusion_101

MIT LicenseMIT

Diffusion_101

Notes for self learning from course

Things to learn

  • Math of Diffusion -Unet
  • AdamW revision
  • Cosine learning rate scheduler revision
  • Markov Chain
  • unimodal/mutli modal Gaussian
  • VAE
  • Latent variable models
  • Variational lower bound
  • Likelihood
  • KL divergence
  • Sampling Conditionally given Variable(target) of interest