This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...
├── src/vae/ # Core VAE implementation │ ├── models.py # VAE model architectures │ ├── data.py # Data loading and preprocessing │ ├── training.py # Training utilities and Lightning module │ ├── ...
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