py314-pymc (python/py-pymc) Updated: 6 days ago Add to my watchlist
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with AesaraPyMC (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: 5.27.1 License: Apache-2
GitHub
6 build(s) found
| Builder | Build Number | Start Time | Elapsed Time | Watcher | Build Status |
|---|---|---|---|---|---|
| 10.7 | 241075 | 2026-01-27 19:40:27 | 0:01:07 | 76717 | build successful |
| 15 | 46406 | 2026-01-27 19:37:07 | 0:00:32 | 15172 | build successful |
| 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 |