janosh / awesome-normalizing-flows
Awesome resources on normalizing flows.
Why this job: name: awesome; topics: awesome-list
What it does
A list of awesome resources for understanding and applying normalizing flows (NF): a relatively simple yet powerful new tool in statistics for constructing expressive probability distributions from simple base distributions using a chain (flow) of trainable smooth bijective transformations (diffeomorphisms).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 1,642
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 3 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 46 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- normalizing-flows
- bayesian-neural-networks
- variational-inference
- density-estimation
- generative-modeling
- autoregressive
- machine-learning
- awesome-list
- bayesian-inference
Project record
- JobLists and guides
- StatusListed
- Commits111
- Forks130
- Watching42
- Stars in 28 days+4
- CreatedDec 11, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026