https://github.com/AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.
https://github.com/AntixK/PyTorch-VAE

architecture beta-vae celeba-dataset deep-learning dfc-vae gumbel-softmax iwae paper-implementations pytorch pytorch-implementation pytorch-vae reproducible-research vae vae-implementation variational-autoencoders vqvae wae

Last synced: about 2 months ago
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A Collection of Variational Autoencoders (VAE) in PyTorch.

• Host: GitHub
• URL: https://github.com/AntixK/PyTorch-VAE
• Owner: AntixK
• License: apache-2.0
• Created: 2020-01-10T12:41:23.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-06-13T04:24:42.000Z (7 months ago)
• Last Synced: 2024-11-04T17:12:08.264Z (2 months ago)
• Topics: architecture, beta-vae, celeba-dataset, deep-learning, dfc-vae, gumbel-softmax, iwae, paper-implementations, pytorch, pytorch-implementation, pytorch-vae, reproducible-research, vae, vae-implementation, variational-autoencoders, vqvae, wae
• Language: Python
• Homepage:
• Size: 45.4 MB
• Stars: 6,626
• Watchers: 43
• Forks: 1,063
• Open Issues: 62
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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