Explore a collection of Variational Autoencoders to generate images and learn from data.
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Free · no card · unsubscribe anytimeA Collection of Variational Autoencoders (VAE) in PyTorch.
PyTorch-VAE has 7.7k stars on GitHub. It has been forked 1.2k times. PyTorch-VAE is written mainly in Python. It has been in active development since 2020. PyTorch-VAE is available under the Apache-2.0 license. Its main topics are architecture, beta-vae, celeba-dataset, deep-learning.
What is PyTorch-VAE?
A Collection of Variational Autoencoders (VAE) in PyTorch.
Is PyTorch-VAE open source?
PyTorch-VAE is an open-source project. It is released under the Apache-2.0 license.
Is PyTorch-VAE free?
Yes. PyTorch-VAE is free and open source — you can use, modify and self-host it.
What license does PyTorch-VAE use?
PyTorch-VAE is available under the Apache-2.0 license.
What language is PyTorch-VAE written in?
PyTorch-VAE is written mainly in Python.
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