https://github.com/rekalantar/variationalautoencoders_pytorch

Variational Autoencoder (VAE) PyTorch Tutorial from Scratch
https://github.com/rekalantar/variationalautoencoders_pytorch

deep-learning generative-model pytorch tutorial variational-autoencoder

Last synced: 5 months ago
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Variational Autoencoder (VAE) PyTorch Tutorial from Scratch

• Host: GitHub
• URL: https://github.com/rekalantar/variationalautoencoders_pytorch
• Owner: rekalantar
• Created: 2022-11-20T01:14:52.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-11-22T04:24:40.000Z (about 2 years ago)
• Last Synced: 2024-11-09T05:15:23.996Z (about 1 year ago)
• Topics: deep-learning, generative-model, pytorch, tutorial, variational-autoencoder
• Language: Jupyter Notebook
• Homepage:
• Size: 3.73 MB
• Stars: 8
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# VariationalAutoencoders_Pytorch

Variational Autoencoder (VAE) PyTorch Tutorial from Scratch. [Read the article here](https://medium.com/@rekalantar/variational-auto-encoder-vae-pytorch-tutorial-dce2d2fe0f5f)

• Visualizing the latent space. Mean and variance range [-1.0, 1.0]

![latent01](https://user-images.githubusercontent.com/51782618/202878514-20fc60ba-3ff0-4503-bcf1-6172cffc9450.png)

• Mean and variance range [-5.0, 5.0]

![latent5](https://user-images.githubusercontent.com/51782618/202878535-dd7dc216-8955-4dbc-b393-c27aea40ac34.png)