GitHub / Mehrab404 / AstroVAE-Variational-Autoencoder-for-Cosmological-Data-Compression

AstroVAE uses a Variational Autoencoder (VAE) to compress high-dimensional data from CAMELS cosmological simulations. It creates a compact, meaningful latent-space representation of complex astrophysical data, proving more effective at preserving critical scientific information than traditional methods.

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PURL: pkg:github/Mehrab404/AstroVAE-Variational-Autoencoder-for-Cosmological-Data-Compression

Topics: image-processing, machine-learning, python, unet-pytorch, vae-implementation, variational-autoencoder

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