is0383kk/Pytorch_VAE-GMM
Implementation of mutual learning model between VAE and GMM.
Implements a bidirectional feedback loop where VAE encodes data into latent variables that GMM clusters, then GMM's estimated Gaussian parameters refine VAE's posterior distribution—enabling mutual learning that improves latent space organization and clustering performance. Built in PyTorch with modular components for VAE and GMM training, allowing image reconstruction by sampling from GMM-estimated cluster distributions through the VAE decoder.
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Python
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Last pushed
Oct 08, 2025
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