Deep Convolutional Variational Auto-Encoder implementation in PyTorch.
Python
Convolutional VAE
Deep convolutional variational auto-encoder implementation in PyTorch. The VAE was trained on the MNSIT dataset. Example images generated from this VAE (generated from randomly sampled latent vectors) are in vae_generation.png.