SantoshDhirwani/stick_breaking_vae
Implementing Stick-Breaking Variational Auto-encoder in Pytorch & Keras (Python3)
This project helps machine learning researchers and practitioners explore an advanced probabilistic model called the Stick-Breaking Variational Auto-encoder. It allows you to input raw data and learn a hierarchical, interpretable representation of that data, helping with tasks like generative modeling or data compression. The primary users are those working with deep learning and Bayesian methods.
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Use this if you are a machine learning researcher or practitioner interested in implementing and experimenting with Stick-Breaking Variational Auto-encoders for probabilistic modeling.
Not ideal if you are looking for a pre-trained model or an out-of-the-box solution for a specific application without delving into the underlying model architecture.
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Last pushed
Dec 20, 2022
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