PyAutoFit — Peer-reviewed • Rank 15.2 • Science 100%

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting - Published in JOSS (2021)

DAPPER — Peer-reviewed • Rank 13.4 • Science 95%

DAPPER: Data Assimilation with Python: a Package for Experimental Research - Published in JOSS (2024)

epimargin — Peer-reviewed • Rank 8.8 • Science 95%

epimargin: A Toolkit for Epidemiological Estimation, Prediction, and Policy Evaluation - Published in JOSS (2021)

pints • Rank 18.3 • Science 62%

Probabilistic Inference on Noisy Time Series

nimble • Rank 20.9 • Science 59%

The base NIMBLE package for R

forneylab.jl • Rank 8.1 • Science 64%

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

priorsense • Rank 13.4 • Science 57%

priorsense: an R package for prior diagnostics and sensitivity

wopr • Rank 5.4 • Science 49%

An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)

bayesmsm • Rank 6.4 • Science 36%

An R package for Bayesian Marginal Structural Models

https://github.com/amirabbasasadi/mathematics-computerscience-courses • Rank 5.5 • Science 36%

A collection of awesome mathematics and computer science courses

BayesVarSel • Rank 12.7 • Science 26%

BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models

https://github.com/camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers • Rank 15.3 • Science 23%

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

https://github.com/jbrea/bayesianoptimization.jl • Rank 11.9 • Science 23%

Bayesian optimization for Julia

pyemma • Rank 16.6 • Science 10%

🚂 Python API for Emma's Markov Model Algorithms 🚂

bayesCT • Rank 14.9 • Science 10%

Adaptive Bayesian Clinical Trial

IBCF.MTME • Rank 11.4 • Science 13%

Item Based Collaborative Filtering For Multi-trait and Multi-environment Data [R Package - dev version]

https://github.com/callat-qcd/project_ga • Science 23%

Isovector nucleon axial coupling

stochtree • Science 26%

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

NonparametricVI • Science 67%

Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming

hmde • Science 39%

Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.

swissfit • Science 67%

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

probe • Science 67%

PaRtitiOned empirical Bayes Ecm (PROBE)

wh • Science 26%

Revisiting Whittaker-Henderson Smoothing

serofoi • Science 44%

Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies

bn-based-learning-networks-with-noisy-gates • Science 49%

https://github.com/cgre-aachen/bayseg • Science 23%

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

abms • Science 13%

Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.

https://github.com/callat-qcd/project_0vbb • Science 23%

neutrinoless double beta decay