kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
This project offers tools to model complex data distributions, useful for tasks like generating new images or understanding the underlying structure of datasets. It takes in existing data, such as images or numerical tables, and outputs models that can recreate similar data or allow for subtle modifications. Researchers and data scientists who work with generative models or need robust density estimation will find this valuable.
637 stars. No commits in the last 6 months.
Use this if you need to generate realistic synthetic data, perform high-quality image manipulation, or accurately estimate the probability distribution of complex datasets.
Not ideal if you're looking for a simple, out-of-the-box solution for basic data analysis or if your primary goal is classification or regression.
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637
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102
Language
Python
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Last pushed
Jul 12, 2021
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