https://github.com/ambidextrous9/variational-autoencoders-vae-with-pytorch

Variational AutoEncoders (VAE) with PyTorch
https://github.com/ambidextrous9/variational-autoencoders-vae-with-pytorch

Last synced: 7 months ago
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Variational AutoEncoders (VAE) with PyTorch

• Host: GitHub
• URL: https://github.com/ambidextrous9/variational-autoencoders-vae-with-pytorch
• Owner: ambideXtrous9
• Created: 2023-11-27T05:35:03.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-11-28T05:54:06.000Z (almost 2 years ago)
• Last Synced: 2025-01-11T21:32:58.424Z (9 months ago)
• Language: Jupyter Notebook
• Size: 1.47 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Variational-AutoEncoders-VAE-with-PyTorch

Variational AutoEncoders (VAE) with PyTorch

![image](https://github.com/ambideXtrous9/Variational-AutoEncoders-VAE-with-PyTorch/assets/31372586/8c34e6ba-62ad-4d72-8397-3dc1075af685)

![image](https://github.com/ambideXtrous9/Variational-AutoEncoders-VAE-with-PyTorch/assets/31372586/6934b4dd-f411-4b79-9844-f300e71b9c73)

![image](https://github.com/ambideXtrous9/Variational-AutoEncoders-VAE-with-PyTorch/assets/31372586/b3598a12-80c7-46c5-b50f-0b82821c21a2)

![image](https://github.com/ambideXtrous9/Variational-AutoEncoders-VAE-with-PyTorch/assets/31372586/1c78cbc5-e549-409d-82f7-27fb4066a774)

### Loss of VAE :

![image](https://github.com/ambideXtrous9/Variational-AutoEncoders-VAE-with-PyTorch/assets/31372586/048d93e2-2eb8-4357-8467-df538013ee5f)





## Useful Links : 

[Understanding Variational Autoencoders (VAEs)](https://towardsdatascience.com/understanding-variational-autoencoders-vaes-f70510919f73)

[Evidence Lower Bound (ELBO) - CLEARLY EXPLAINED!](https://www.youtube.com/watch?v=IXsA5Rpp25w&ab_channel=KapilSachdeva)

[Variational Autoencoder (VAE) — PyTorch Tutorial](https://medium.com/@rekalantar/variational-auto-encoder-vae-pytorch-tutorial-dce2d2fe0f5f)

[Variational Autoencoder Demystified With PyTorch Implementation](https://towardsdatascience.com/variational-autoencoder-demystified-with-pytorch-implementation-3a06bee395ed)

[VAE implementation in PyTorch Lightning](https://colab.research.google.com/drive/1_yGmk8ahWhDs23U4mpplBFa-39fsEJoT?usp=sharing)

[VAE implementation in PyTorch on MNIST](https://avandekleut.github.io/vae/)

[Vanilla VAE](https://github.com/AntixK/PyTorch-VAE/blob/master/models/vanilla_vae.py)