• Stars
    star
    108
  • Rank 321,259 (Top 7 %)
  • Language
    Jupyter Notebook
  • Created about 6 years ago
  • Updated about 6 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

pytorch-mnist-VAE

Variational AutoEncoder on the MNIST data set using the PyTorch

Dependencies

  • PyTorch
  • torchvision
  • numpy

Results

Generated samples from 2-D latent variable with random numbers from a normal distribution with mean 0 and variance 1

alt text

Reference

  1. Auto-Encoding Variational Bayes. Diederik P Kingma, Max Welling (paper): https://arxiv.org/abs/1312.6114
  2. μ˜€ν† μΈμ½”λ”μ˜ λͺ¨λ“  것 (slides): https://www.slideshare.net/NaverEngineering/ss-96581209
  3. Basic VAE Example (github): https://github.com/pytorch/examples/tree/master/vae
  4. hwalsuklee/tensorflow-mnist-VAE (github): https://github.com/hwalsuklee/tensorflow-mnist-VAE