Bayesian Methods Python Packages

tensorflow-probability

Probabilistic reasoning and statistical analysis in TensorFlow

tfp-nightly

Probabilistic reasoning and statistical analysis in TensorFlow

pints

Probabilistic Inference on Noisy Time Series

autofit

PyAutoFit: Classy Probabilistic Programming

orbit-ml

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

jaxns

Probabilistic Programming and Nested sampling in JAX

stochtree

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

chekipeuq

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

pyemma

🚂 Python API for Emma's Markov Model Algorithms 🚂

dapper

Data Assimilation with Python: a Package for Experimental Research

da-dapper

Data Assimilation with Python: a Package for Experimental Research

peuqse

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

multivariate-bocd

Multivariate Bayesian Online Changepoint Detection

inference-gym

Probabilistic reasoning and statistical analysis in TensorFlow

edward2

A simple probabilistic programming language.

bensemble

A Modular Python Library for Bayesian Deep Learning and Neural Network Ensembling.

hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

pyxu

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

epimargin

networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools

pycsou

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

fuzzy-dempster-shafer

A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory