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license: apache-2.0
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### Applying Variational Autoencoders to Fashion-MNIST Data
[Auto-Encoding Variational Bayes (Paper)](https://arxiv.org/abs/1312.6114)

#### Fashion-MNIST Dataset
##### Reconstruction
![reconstruction](assets/reconstruction.png)
##### Original 
![original](assets/original.png)

##### Generated Samples
![generated_sample_output](assets/generated_sample_output.png)

#### CIFAR-10 dataset output (Blurry)
![cifar-10](assets/cifar_10_output.png)

#### Model Info
* [GitHub](https://github.com/arun477/variational_autoencoder)
* Training Notebook: vae.ipynb
* Model: model.pth

#### Training output and logs
[Weights & Biases](https://wandb.ai/carlfeynman/vae/reports/VAE-Fashion-MNIST-Runs--Vmlldzo1NDgyNDAy)