AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
This collection provides various Variational Autoencoder (VAE) models for deep learning researchers and practitioners. It helps in tasks like generating realistic synthetic data or learning efficient representations from complex datasets. You provide image data, and the models can learn to compress it and generate new, similar images.
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Use this if you are a deep learning researcher or practitioner interested in exploring, comparing, or applying different VAE architectures for generative modeling and data representation tasks.
Not ideal if you are looking for a plug-and-play solution for general image generation without needing to understand or customize underlying deep learning models.
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Python
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Apache-2.0
Last pushed
Mar 21, 2025
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