Multi Variable Probability Calculus Library
Project description
- ProbPy is a Python library that aims at simplifying calculations with
discrete multi variable probabilistic distributions by offering an abstraction over how data is stored and how the operations between distributions are performed.
The library can be used in the implementation of many algorithms such as Bayes Theorem, Bayesian Inference algorithms like Variable Elimination, Gibbs Ask (MCMC), HMMs implementations, Information Theory, etc.
Hosted at GitHub: https://github.com/petermlm/ProbPy.
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