Bayesian Methods Python Packages

tensorflow-probability

Probabilistic reasoning and statistical analysis in TensorFlow

tfp-nightly

Probabilistic reasoning and statistical analysis in TensorFlow

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

pints

Probabilistic Inference on Noisy Time Series

stochtree

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

pyemma

🚂 Python API for Emma's Markov Model Algorithms 🚂

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.

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.

hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

dapper

Data Assimilation with Python: a Package for Experimental Research

inference-gym

Probabilistic reasoning and statistical analysis in TensorFlow

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

pyxu

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

edward2

A simple probabilistic programming language.

odin-ai

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

epimargin

Toolkit for estimating epidemiological metrics and evaluating public health and economic policies.

uncertainty-baselines

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

mixturelib

The implementation of mixtures for different tasks.

fuzzy-dempster-shafer

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

samplesizelib

sample size lib, python package

pycsou

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