Mixed-norms and Hierarchical Bayesian models for the M/EEG inverse problem
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A python tutorial on bayesian modeling techniques (PyMC3)
Bayesian optimization of machine learning models.
convenient python functions for bayesian GLMs (using Stan / PyStan)
Neat Bayesian machine learning examples
Minimalist version of probml/rebayes
Implementation of probabilistic programming and Bayesian algorithms in Python, based on C. David...
Multivariate Normal Distributions from Python
Bayesian Networks in Python
Basic utilities for Bayesian inference
Bayesian Deep Learning with Stochastic Gradient MCMC Methods
Compute Bayes Factor for PyMC model selection
Python implementation of Bayesian online changepoint detection
Bayesian linear regression.
Interpretable neural spike train models with fully-Bayesian inference algorithms
Bayesian inference in HSMMs and HMMs