py310-pymc (python/py-pymc) Updated: 20 hours 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: 5.18.0 License: Apache-2 GitHub522 build(s) found
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12 | 33927 | 2022-06-21 2:24:44 | 0:02:27 | 9029 | build successful |
10.13 | 154714 | 2022-06-21 2:24:18 | 0:02:00 | 50590 | build successful |
10.7 | 104618 | 2022-06-21 2:23:37 | 0:02:06 | 32007 | build successful |
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11.arm64 | 59003 | 2022-06-21 2:16:20 | 0:00:47 | 20204 | build successful |
10.6.x86_64 | 109692 | 2022-06-07 19:44:55 | 0:00:20 | 31693 | failed install-dependencies |
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10.11 | 184866 | 2022-06-07 16:27:53 | 0:10:20 | 59212 | build successful |
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11 | 75103 | 2022-06-07 16:18:55 | 0:04:28 | 19764 | build successful |
10.8 | 92517 | 2022-06-07 16:17:35 | 0:04:13 | 29570 | build successful |
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12 | 32398 | 2022-06-07 16:16:09 | 0:03:52 | 8541 | build successful |
10.13 | 153388 | 2022-06-07 16:15:54 | 0:03:22 | 50102 | build successful |
10.12 | 189292 | 2022-06-07 16:15:19 | 0:02:56 | 58016 | build successful |
10.10 | 185921 | 2022-06-07 16:15:13 | 0:02:56 | 59097 | build successful |
10.7 | 102498 | 2022-06-07 16:14:57 | 0:03:01 | 31518 | build successful |
12.arm64 | 54139 | 2022-06-07 16:07:37 | 0:00:57 | 8533 | build successful |