PyMC3

Website

http://pymc-devs.github.io/pymc3/

Social Media

Description

PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.

Languages

Python

Team

Top contributors:

• https://github.com/fonnesbeck
• https://github.com/jsalvatier
• https://github.com/twiecki
• https://github.com/apatil

Governance

Code of Conduct

Draft: Draft code of conduct · pymc-devs/pymc3

Code Repository

• GitHub: PyMC Organization
• GitHub: pymc-devs/pymc3: Probabilistic Programming in Python

Build Tools

TravisCI: pymc-devs/pymc3 - Travis CI

Packages

Releases

Issue Tracker

Issues · pymc-devs/pymc3

Documentation

• Getting started: Getting started with PyMC3 — PyMC3 3.0 documentation
• Contributing: pymc3/CONTRIBUTING.md at master · pymc-devs/pymc3

Community

Discussion

Gitter: pymc-devs/pymc - Gitter

Events

License

APL-2: pymc3/LICENSE at master · pymc-devs/pymc3

Citing

History

The First Release of PyMC3 - Strong Inference

Other

also sponsored by https://www.quantopian.com/