Generative-Model

Involves burning up the GPUs and my PC for finding a perfect generative model.

• Research on the upcoming Generative model, and cumulatively define the improvements
• Load and run beta models on Collab, fry the RAM and then compare the parameters
• 11 Prime GANs

• InfoGANs https://youtu.be/r3L3JT_TLTM?t=68

• Relativistic GANs https://youtu.be/r3L3JT_TLTM?t=203

• CycleGANs https://youtu.be/r3L3JT_TLTM?t=388

• SAGANs https://youtu.be/r3L3JT_TLTM?t=477

• Progressive GANs https://youtu.be/r3L3JT_TLTM?t=547

• DCGANs https://youtu.be/r3L3JT_TLTM?t=627

• WGANs https://youtu.be/r3L3JT_TLTM?t=763

• BEGANs https://youtu.be/r3L3JT_TLTM?t=834

• VAEGANs https://youtu.be/r3L3JT_TLTM?t=971

• Seq GANs https://youtu.be/r3L3JT_TLTM?t=1061

• AttnGANs

• CPGGANS

more to follow...

• Implement these:
  • AttnGAN
  • PGGAN
  • LSGAN