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Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.

Version: 5.27.0 License: Apache-2 GitHub
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4 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
11 197445 2026-01-06 21:18:24 0:01:09 64221 build successful
14 72748 2026-01-06 20:38:22 0:00:24 27067 build successful
14.arm64 68210 2026-01-06 20:37:59 0:00:27 26701 build successful
13.arm64 94731 2026-01-06 20:37:58 0:00:27 38611 build successful