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.
| Website | https://docs.pymc.io |
| Employees | 6 (0 on RocketReach) |
| Founded | 2010 |
| Industry | Research Services |
| Keywords | Bayesian Statistics, Data Science, Statistical Modeling, Python Library, Machine Learning, Data Analysis, Deep Learning, Mathematical Modeling, Scientific Computing, Statistical Computing, Predictive Modeling, Model Development |
| Competitors | Stan, TensorFlow User Group (TFUG), RGG, SourceForge, International Society for Bayesian Analysis, scikit-learn, Keras, Scipy, The Apache Software Foundation +20 more (view full list) |
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