# pymc-devs/pymc

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/pymc-devs-pymc).**

9,643 stars · 2,257 forks · Python · NOASSERTION

## Links

- GitHub: https://github.com/pymc-devs/pymc
- Homepage: https://www.pymc.io
- awesome-repositories: https://awesome-repositories.com/repository/pymc-devs-pymc.md

## Topics

`bayesian-inference` `mcmc` `probabilistic-programming` `pytensor` `python` `statistical-analysis` `variational-inference`

## Tags

### Part of an Awesome List

- [Artificial Intelligence](https://awesome-repositories.com/f/awesome-lists/ai/artificial-intelligence.md) — Library for Bayesian statistical modeling and probabilistic machine learning.
- [Probabilistic Modeling](https://awesome-repositories.com/f/awesome-lists/ai/probabilistic-modeling.md) — Framework for Bayesian stochastic modeling and inference.
- [Scientific Computing](https://awesome-repositories.com/f/awesome-lists/ai/scientific-computing.md) — Probabilistic programming and Bayesian modeling.
- [Data Science and Databases](https://awesome-repositories.com/f/awesome-lists/data/data-science-and-databases.md) — Probabilistic programming and Bayesian modeling.
- [Numerical Libraries](https://awesome-repositories.com/f/awesome-lists/data/numerical-libraries.md) — Probabilistic programming for Bayesian modeling and machine learning.
- [Statistical Modeling](https://awesome-repositories.com/f/awesome-lists/data/statistical-modeling.md) — Toolkit for Markov Chain Monte Carlo sampling.
- [Python Projects](https://awesome-repositories.com/f/awesome-lists/devtools/python-projects.md) — Listed in the “Python Projects” section of the Awesome For Beginners awesome list.
- [Scientific Computing Libraries](https://awesome-repositories.com/f/awesome-lists/devtools/scientific-computing-libraries.md) — Library for Bayesian modeling and probabilistic machine learning.
- [Statistical Modeling](https://awesome-repositories.com/f/awesome-lists/devtools/statistical-modeling.md) — Flexible Bayesian modeling and probabilistic programming.
- [Scientific Computing](https://awesome-repositories.com/f/awesome-lists/learning/scientific-computing.md) — Listed in the “Scientific Computing” section of the Awesome Python awesome list.