janosh/awesome-normalizing-flows resource

Health v2 · maintenance only

Adoption not part of the score

1637 stars · 130 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of resources on normalizing flows, including publications, videos, packages, repos, and blog posts. It serves as a reference hub for understanding and applying flow-based generative models and density estimation techniques.

Use cases

• find papers on normalizing flows
• learn about flow-based generative models
• discover python libraries for density estimation
• find tutorials on variational inference with flows
• compare normalizing flow implementations in pytorch tensorflow jax
• research resources on bayesian neural networks

When to choose

• you need a curated starting point for learning normalizing flows
• you want an index of NF packages across pytorch, tensorflow, jax, and julia
• you are surveying the research literature on flow-based models

When to avoid

• you need a runnable normalizing flow implementation rather than links
• you want a maintained software library with API guarantees
• you need resources on other generative model families like GANs or diffusion models

Facets

learning-resource · maturity active

machine-learning documentation machine-learning deep-learning artificial-intelligence awesome-lists tutorials python normalizing-flows awesome-list generative-modeling density-estimation variational-inference bayesian-inference curated-list

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