Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
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Updated
Apr 12, 2021 - Jupyter Notebook
Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
Вариационный автоэнкодер для генерации цифр и предметов одежды
Project to implement and compare performance of generative models based on sketch-rnn on QuickDraw dataset.
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.
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.
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