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

chekipeuq

This is the CheKiPEUQ package which stands for Chemical Kinetics Parameter Estimation and Uncertainty Quantification. See https://github.com/AdityaSavara/CheKiPEUQ for more information.

pyemma

PyEMMA: Emma's Markov Model Algorithms

da-dapper

DAPPER benchmarks the performance of data assimilation (DA) methods.

dapper

Data Assimilation with Python: a Package for Experimental Research

inference-gym

Probabilistic reasoning and statistical analysis in TensorFlow

peuqse

This is the PEUQSE package which stands for Parameter Estimation and Uncertainty Quantification for Science and Engineering. See https://github.com/AdityaSavara/PEUQSE for more information.

hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

edward2

Edward2

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.

odin-ai

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

epimargin

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

samplesizelib

sample size lib, python package

uncertainty-baselines

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

mixturelib

The implementation of mixtures for different tasks.

fightin-words

A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.

fuzzy-dempster-shafer

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