ethanluoyc/pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
This is a foundational building block for machine learning engineers and researchers working with deep learning models. It takes in complex data, like images or text, and learns a compressed, meaningful representation of that data. This compressed representation can then be used for generating new, similar data, or for tasks like anomaly detection.
432 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner exploring generative models or need to learn robust, low-dimensional representations of your data.
Not ideal if you are a business user looking for a ready-to-use application, as this requires deep technical knowledge to implement and apply.
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432
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Language
Python
License
BSD-3-Clause
Last pushed
Jun 04, 2022
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