AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Pythondeep-learningreproducible-researcharchitecturepytorchvaebeta-vaepaper-implementationsgumbel-softmaxceleba-datasetwaevariational-autoencoderspytorch-implementationdfc-vaeiwaevqvaevae-implementationpytorch-vae
This is stars and forks stats for /AntixK/PyTorch-VAE repository. As of 28 Apr, 2024 this repository has 5269 stars and 933 forks.

PyTorch VAE Update 22/12/2021: Added support for PyTorch Lightning 1.5.6 version and cleaned up the code. A collection of Variational AutoEncoders (VAEs) implemented in pytorch with focus on reproducibility. The aim of this project is to provide a quick and simple working example for many of the cool VAE models out there. All the models are trained on the CelebA dataset for consistency and comparison. The architecture of all the...
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