Probabilistic-programming Libraries

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Probabilistic-programming Libraries

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

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 extensi…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

This notebook contains the code required to conduct a Bayesian data analysis on data collected from a set of multiple-lot online auction events executed in Europen markets, over the course of a year.…

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