Efficient-VDVAE an Open-source memory-efficient deep hierarchical VAE
Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more" - Rayhane-mamah/Efficient-VDVAE
Efficient-VDVAE an Open-source memory-efficient deep hierarchical VAE launched on April 8, 2022 with 39 votes, #810 of 2,974 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
Efficient-VDVAE is an open-source implementation of a deep hierarchical variational autoencoder designed to reduce memory consumption during training and inference. It is intended for machine learning researchers and developers working with large-scale generative models. The tool addresses the memory limitations that typically constrain hierarchical VAE architectures, making it possible to train more complex models on hardware with limited resources.
written from the facts on this page · September 2026
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