Skip to content

anjali88/generative_models

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Generative Models

Implementation of famous models for self-study

Autoencoders

  • feedforward (MNIST)
  • convolutional (MNIST)
  • residual (MNIST)
  • variational (MNIST, CIFAR)
  • beta-variational (MNIST)
  • convolutional with perceptual loss (MNIST)

GANs

  • GAN (MNIST)
  • DCGAN (MNIST)

References

[https://github.com/eriklindernoren/PyTorch-GAN] and [https://github.com/lyeoni/pytorch-mnist-GAN] were very helpful in understanding how the mathematics of GANs translated to code; as well as providing good initial hyperparameters and architectures

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%