Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset

Project to implement and compare performance of generative models based on sketch-rnn on QuickDraw dataset.

Вариационный автоэнкодер для генерации цифр и предметов одежды

PyTorch implementation of various Variational Autoencoder models

Simple VAE implementation in tensorflow, jax and pytorch where both the encoder and decoder model use gaussian distributions.

Modelling galaxies surface brightnesses with Variational Autoencoder on COSMOS dataset collected by Hubble Space Telescope

ColorVAE is a Vanilla Auto Encoder (V.A.E.) which can be used to add colours to black and white images.

This is a "redo" of the zebrastack, after the learnings of the original repo.