Description:

BayesPy provides tools for variational Bayesian inference in Python. The model is constructed as a Bayesian network. The aim is to provide a tool which is efficient, flexible and extendable enough for expert use but also accessible for more casual users.

• Documentation: http://bayespy.org

• Repository: https://github.com/bayespy/bayespy

Changes to previous version:

• Add gradient-based optimization methods (Riemannian/natural gradient or normal)
• Add collapsed inference
• Add the pattern search method
• Add deterministic annealing
• Add stochastic variational inference
• Add optional input signals to Gaussian Markov chains
• Add unit tests for plotting functions (by Hannu Hartikainen)
• Add printing support to nodes
• Drop Python 3.2 support

BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Hdf, Csv

Tags: Variational Inference, Bayesian Inference

Archive: download here

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