B

Bayesian inference

gemlib provides Python modules for implementing epidemic models.

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

npm package for browser- and node-based execution of Bayesian modeling and inference, powered under the hood by C++ Bayesian reasoning library aGrUM

Sashimi - study the organisation and evolution of corpora

An implementation of Bayesian latent class model to estimate assays' performance with observed assay results, and latent true disease status.

Bayesian modeling of ammonia oxidation in microcosm experiments with stream sediments

Python implentation of Artificial Intelligence a Modern Approach by Peter Norvig and Stuart Russell,

Practical Introduction to Data Science - A Data Science task using R on two datasets (Historic weather/climate and Self-reported happiness statistics UK)

Stochastic superpositional posterior repartitioning used in conjunction with Bayesian inference engines such as PolyChord and MultiNest.