https://github.com/au-re/vae

:mortar_board: A simple variational autoencoder implementation
https://github.com/au-re/vae

deep-learning machine-learning tensorflow

Last synced: 2 months ago
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:mortar_board: A simple variational autoencoder implementation

• Host: GitHub
• URL: https://github.com/au-re/vae
• Owner: au-re
• License: isc
• Created: 2016-05-17T12:59:26.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2017-04-09T21:03:38.000Z (about 9 years ago)
• Last Synced: 2025-02-05T14:39:53.033Z (over 1 year ago)
• Topics: deep-learning, machine-learning, tensorflow
• Language: Python
• Homepage:
• Size: 53.7 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# vae

A variational autoencoder implementation. You will need tensorflow for python 3.5 

installed. Then run it with: 

```

python run_batches.py

```

Reconstructing the MNIST dataset:

![example reconstruction](/sample_reconstruction.png)