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PyMC

Bayesian Modeling and Probabilistic Programming in Python

PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.

Downloads: 4 This Week

Last Update: 7 days ago
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