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bayesian

gemlib provides Python modules for implementing epidemic models.

API reference: https://gem-epidemics.gitlab.io/gemlib

ARIMA time series implementation in PyTorch with optional support for Bayesian priors.

Convenient training of linear models

Bayesian statistical processing of affect data from the Geneva Emotion Wheel.

Concerted Cell Velocity in Wound Healing

We have implemented a number of source recovery algorithms for epidemics on networks.

An implementation of Bayesian AB testing in Django.

Bitmap binary representation number recognition using bayes classification which developed using Java.

A Rust Naïve Bayes classifier.

A small library for bayesian filtering: Filter Library IRT (Institut für Regelungstechink / Institute of Automatic Control, RWTH Aachen University). It does not try to be an "Eierlegende Wollmilchsau" as it accepts that the filter models are just too

A Bayesian SEIR COVID-19 model implemented in Python with pyStan.

A Python utility for compressing supernova cosmological data.

Trolley implements Bayesian statistical algorithms like Markov Chain Monte Carlo (MCMC).

Python and Fortran libraries for easy to use and fast to run dynamical Bayesian models.

Example Bayesian Modelling Code Accompanying the Paper "Application of Bayesian Graphs to SN Ia Data Analysis and Compression"

Bayesian state space modelling and learning in Python