https://github.com/bheemisme/variational-auto-encoder

A lossy image compression using variational auto encoder on fashion mnist dataset
https://github.com/bheemisme/variational-auto-encoder

deep-learning image-compression lossy-image-compression machine-learning neural-networks pytorch variational-autoencoder

Last synced: 4 days ago
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A lossy image compression using variational auto encoder on fashion mnist dataset

• Host: GitHub
• URL: https://github.com/bheemisme/variational-auto-encoder
• Owner: bheemisme
• Created: 2024-11-04T15:14:38.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-12-06T07:24:31.000Z (11 months ago)
• Last Synced: 2024-12-27T07:17:10.638Z (11 months ago)
• Topics: deep-learning, image-compression, lossy-image-compression, machine-learning, neural-networks, pytorch, variational-autoencoder
• Language: Jupyter Notebook
• Homepage: https://variational-auto-encoder-d2ghwer9pfhrhjrvqvstnc.streamlit.app/
• Size: 695 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Neural Lossy Compression

A lossy image compression using variational auto encoder on fashion mnist dataset

Inspired from paper [An Introduction to Variational Auto Encoders](https://arxiv.org/pdf/1906.02691)

- [Notebook](https://www.kaggle.com/code/sudarshan1927/variational-auto-encoder)

- [Dataset](https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small)

![streamlit-ui](./application.png)