Projects in Awesome Lists tagged with bayesian-methods

https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

bayesian-methods data-science jupyter-notebook mathematical-analysis pymc statistics

Last synced: 11 Sep 2025

https://github.com/camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

bayesian-methods data-science jupyter-notebook mathematical-analysis pymc statistics

Last synced: 07 May 2025

https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

bayesian-methods data-science jupyter-notebook mathematical-analysis pymc statistics

Last synced: 13 Mar 2025

https://github.com/blei-lab/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 14 May 2025

https://github.com/tensorflow/probability

Probabilistic reasoning and statistical analysis in TensorFlow

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 12 May 2025

https://github.com/stan-dev/stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics stan

Last synced: 06 Jan 2026

https://github.com/avehtari/bda_course_aalto

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 04 Sep 2025

https://avehtari.github.io/BDA_course_Aalto/

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 04 May 2025

https://github.com/avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 26 Apr 2025

https://github.com/uber/orbit

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

arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series

Last synced: 09 Apr 2025

https://github.com/krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder

Last synced: 15 May 2025

https://github.com/google/uncertainty-baselines

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

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 14 May 2025

https://github.com/google/edward2

A simple probabilistic programming language.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 05 Sep 2025

https://github.com/ericmjl/bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics neural-networks notebook treatment-groups

Last synced: 04 Apr 2025

https://github.com/stan-dev/rstanarm

rstanarm R package for Bayesian applied regression modeling

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics multilevel-models r r-package rstan rstanarm stan statistical-modeling

Last synced: 04 Apr 2025

https://github.com/nansencenter/DAPPER

Data Assimilation with Python: a Package for Experimental Research

bayesian-filter bayesian-methods chaos data-assimilation enkf kalman kalman-filtering particle-filter state-estimation

Last synced: 01 May 2025

https://github.com/frankportman/bayesab

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

ab-testing bayesian-methods bayesian-tests cran r

Last synced: 24 Jun 2025

https://github.com/FrankPortman/bayesAB

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

ab-testing bayesian-methods bayesian-tests cran r

Last synced: 26 Apr 2025

https://github.com/tpapp/dynamichmc.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language

Last synced: 02 Jan 2026

https://github.com/tpapp/DynamicHMC.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language

Last synced: 04 May 2025

https://github.com/pints-team/pints

Probabilistic Inference on Noisy Time Series

bayesian-methods inverse-problems numerical-optimization parameter-estimation

Last synced: 04 May 2025

https://github.com/BayesWatch/deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification

Last synced: 01 May 2025

https://github.com/stan-dev/shinystan

shinystan R package and ShinyStan GUI

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics mcmc r r-package shiny-apps stan statistical-graphics

Last synced: 10 Apr 2025

https://github.com/nimble-dev/nimble

The base NIMBLE package for R

bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming r

Last synced: 15 May 2025

https://github.com/brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

bayesian bayesian-inference bayesian-methods bayesian-neural-networks bayesian-statistics data-science machine-learning python pytorch statistics tensorflow

Last synced: 07 Apr 2025

https://github.com/fehiepsi/rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics

Last synced: 14 Apr 2025

https://github.com/biaslab/forneylab.jl

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

bayesian-methods factor-graph machine-learning probabilistic-graphical-models probabilistic-programming state-space-models

Last synced: 06 Nov 2025

https://github.com/stan-dev/loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan

Last synced: 04 Apr 2025

https://github.com/grinisrit/noa

Differentiable Programming Algorithms in Modern C++

algorithmic-trading bayesian-methods cpp17 deep-learning differentiable-programming game-development optimisation-algorithms optimization particle-physics simulation streaming-analytics

Last synced: 04 Apr 2025

https://github.com/shmuma/rethinking-2ed-julia

Port of Statistical Rethinking (2nd edition) code to Julia

bayesian-methods julia statistics

Last synced: 16 Mar 2025

https://github.com/lawmurray/birch

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics

Last synced: 05 Apr 2025

https://github.com/lawmurray/Birch

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics

Last synced: 26 Mar 2025

https://github.com/amirabbasasadi/mathematics-computerscience-courses

A collection of awesome mathematics and computer science courses

bayesian-methods course learning-resources machine-learning mathematics probability statistics

Last synced: 05 Oct 2025

https://github.com/jbrea/bayesianoptimization.jl

Bayesian optimization for Julia

bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

Last synced: 03 Nov 2025

https://github.com/google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

bayesian-methods bayesian-optimization deep-learning hyperparameter-tuning machine-learning

Last synced: 06 Apr 2025

https://github.com/jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

Last synced: 04 May 2025

https://github.com/m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics brms gibbs hamiltonian-monte-carlo likelihood mcmc metropolis-hastings posterior-predictive posterior-probability prior r regression-models rstan rstanarm stan

Last synced: 17 Jun 2025

https://github.com/weijie-chen/bayesian-statistics-econometrics

Bayesian Statistics-Econometrics

bayesian-inference bayesian-methods bayesian-statistics econometrics statistics

Last synced: 25 Jul 2025

https://github.com/rfeinman/pybpl

Python implementation of Bayesian Program Learning tools (with PyTorch)

bayesian-methods differentiable-rendering program-learning pytorch splines

Last synced: 20 Mar 2025

https://github.com/cgre-aachen/bayseg

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

bayesian-methods gaussian-mixture-models geophysics gibbs-energy gibbs-sampling hidden-markov-models machine-learning markov-chain mixture-model python3 segmentation

Last synced: 10 Apr 2025

https://github.com/n-kall/priorsense

priorsense: an R package for prior diagnostics and sensitivity

bayes bayesian bayesian-data-analysis bayesian-methods prior-distribution r r-package sensitivity-analysis stan

Last synced: 05 Apr 2025

https://github.com/tpapp/LogDensityProblems.jl

A common framework for implementing and using log densities for inference.

bayesian bayesian-data-analysis bayesian-inference bayesian-methods julia mcmc

Last synced: 27 Mar 2025

https://github.com/tpapp/logdensityproblems.jl

A common framework for implementing and using log densities for inference.

bayesian bayesian-data-analysis bayesian-inference bayesian-methods julia mcmc

Last synced: 06 Apr 2025

https://github.com/andreacasalino/easy-factor-graph

General purpose C++ library for managing discrete factor graphs

artificial-intelligence artificial-intelligence-algorithms bayesian-methods bayesian-network cpp factor-graph factor-graphs graphical-models machine-learning probabilistic-graphical-models probability training

Last synced: 04 Oct 2025

https://github.com/ofai/bayesiannonparametrics.jl

BayesianNonparametrics in julia

bayesian-machine-learning bayesian-methods bayesian-nonparametric-models dirichlet-process-mixtures julia

Last synced: 13 Apr 2025

https://github.com/superbrucejia/eeg-bayesiancnn

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

bayesian bayesian-cnns bayesian-convnets bayesian-inference bayesian-methods eeg eeg-classification eeg-signals eeg-signals-classification pytorch-implementation

Last synced: 21 Jun 2025

https://github.com/avehtari/rhat_ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics markov-chain-monte-carlo

Last synced: 06 Jan 2026

https://github.com/kieranrcampbell/ouija

Descriptive probabilistic marker gene approach to single-cell pseudotime inference

bayesian-methods factor-analysis gene-expression single-cell

Last synced: 25 Dec 2025

https://github.com/stratismarkou/sample-efficient-bayesian-rl

Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL

bayesian-inference bayesian-methods bayesian-q-learning efficient-rl exploration exploration-exploitation moment-matching posterior-sampling psrl q-learning reinforcement-learning reproducible-research tabular-environments tabular-methods uncertainty-bellman-equation

Last synced: 14 Apr 2025

https://github.com/nfmcclure/datascience350

Notes for Data Science 350 Class

bayesian-methods data-science genetic-algorithm hypothesis-testing linear-regression neural-network python r teaching-materials

Last synced: 05 May 2025

https://github.com/trungnt13/odin-ai

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

bayesian-methods deep-learning deep-neural-networks disentangled-representations disentanglement-learning factor-vae generative-model graph-algorithms image-processing machine-learning natural-language-processing probabilistic-graphical-models probabilistic-programming semi-supervised-learning speech-processing text-processing variational-autoencoder variational-autoencoders

Last synced: 03 Aug 2025

https://github.com/tpapp/mcmcdiagnostics.jl

Markov Chain Monte Carlo convergence diagnostics in Julia

bayesian bayesian-inference bayesian-methods bayesian-statistics julia julia-language

Last synced: 21 Oct 2025

https://github.com/epiverse-trace/serofoi

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

antibodies bayesian-methods epidemiology epiverse r r-package serological-surveys stan-language

Last synced: 26 Jul 2025

https://github.com/amirhakimnejad/histogram-filter-for-robot-localization

A Python implementation of robot global localization in any 2-dimensional football field using histogram filter.

bayesian-methods histogram-filter histogram-filters localization probability python3 robot-localization robotics

Last synced: 03 Nov 2025

https://github.com/tallamjr/barberbook

Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book

bayesian-methods book machine-learning

Last synced: 21 Jun 2025

https://github.com/dennishnf/indoor-location-using-naive-bayes

The scripts were intended to describe a Naive-Bayes-based approach to indoor location via WiFi signals.

android bayesian-methods bayesian-statistics embedded-systems indoor-localization indoor-locate indoor-navigation python wifi-network

Last synced: 15 Jul 2025

https://github.com/jgomezdans/brdf_modelling

BRDF modelling using linear kernel models

bayesian-methods earth-observation modis remote-sensing

Last synced: 25 Apr 2025

https://github.com/fulldecent/19-questions

A machine learning / bayesian inference engine assigning attributes to objects

artificial-general-intelligence artificial-intelligence artificial-neural-networks bayesian bayesian-inference bayesian-methods bayesian-network bayesian-optimization data-science entropy game machine-learning neural-network php

Last synced: 28 Sep 2025

https://github.com/contextlab/cdl-tutorials

Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL

bayesian-methods package-creation python scientific-computing training-materials tutorial

Last synced: 09 Apr 2025

https://github.com/alan-turing-institute/rpsmf

Code for Probabilistic Sequential Matrix Factorization

bayesian-methods matrix-factorization online-algorithms probabilistic-models reproducible-research reproducible-science sequential-data time-series time-series-analysis time-series-forecasting

Last synced: 05 May 2025

https://github.com/mikeroyal/bayesian-statistics-guide

Bayesian Statistics Guide

bayes bayes-classifier bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-optimization bayesian-statistics deep-learning machine-learning pytorch statistics

Last synced: 13 May 2025

https://github.com/sardhendu/data-science-projects

{PySpark, R, Python}: Several Data Science projects

autoencoder bayesian-methods boosting-algorithms classification credit-card-fraud deep-neural-networks linear-regression logistic-regression machine-learning-algorithms pyspark python-3 random-forest regression svm-classifier tensorflow

Last synced: 12 Apr 2025

https://github.com/kyosek/probability-calibration-imbalanced

This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.

bayesian-methods classification creditcard-fraud imbalanced-data machine-learning probability-calibration

Last synced: 15 May 2025

https://github.com/GuillaumeBiessy/WH

Revisiting Whittaker-Henderson Smoothing

actuarial-science bayesian-methods mortality-estimation smoothing-methods

Last synced: 29 Jul 2025

https://github.com/kenlimmj/fightin-words

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

bayesian-methods evaluation-metrics nlp scikit-learn

Last synced: 30 Oct 2025

https://github.com/m-clark/docs

Documents that go into methodological detail regarding various statistical procedures.

additive-models bayesian-methods mixed-models r stan statistical-procedures structural-equation-modeling

Last synced: 30 Apr 2025

https://github.com/petrushev/bayesian-modeling

Case studies with Bayesian methods

bayesian-data-analysis bayesian-inference bayesian-methods hierarchical-models jupyter-notebook mcmc multilevel-models pymc3 python statistical-models

Last synced: 07 Oct 2025

https://github.com/speediedan/covid19

A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.

bayesian-methods bokeh choropleth coronavirus-real-time county-level covid-19 covid19 covid19-data dashboard differential-equations effective-reproductive-number health-policy infectious-disease-models jupyter jupyter-notebook r0 real-time rt sars-cov-2 seir

Last synced: 05 Apr 2025

https://github.com/thomasgesseyjones/fullybayesianforecastsexample

Example of a fully Bayesian forecast using evidence networks applied to 21-cm cosmology

21cm-signal astronomy astrophysics bayesian-methods cosmology python simulation-based-inference statistics

Last synced: 11 Oct 2025

https://github.com/comodin19/bayesvarsel

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

bayesian-methods linear-models r

Last synced: 09 Jan 2026

https://github.com/m-clark/mcmc-algorithms

Raw files for a document providing a list of mcmc algorithm descriptions.

bayesian-methods laplaces-demon mcmc

Last synced: 05 Jan 2026

https://github.com/carpentries-incubator/statistical-probabilistic-programming-r

Introduction to Probabilistic Programming

bayesian-methods lesson pre-alpha probabilistic-programming r stan

Last synced: 02 Sep 2025

https://github.com/f-z/machine-learning-projects

Predicting wine quality using regression on the well-known UCI data set and more

bayesian bayesian-inference bayesian-methods bayesian-statistics gradient gradient-descent gradient-descent-algorithm gradients knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms machinelearning radial-basis-function regression simple-linear-regression

Last synced: 24 Jun 2025

https://github.com/cdslaborg/paramontex

This is a repository for the ParaMonte library examples. For more information, visit:

bayesian bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics c cpp dram fortran fortran2018 machine-learning markov-chain matlab mcmc mcmc-methods mcmc-sampler parallel paramonte-library python visualization

Last synced: 15 Jul 2025

https://github.com/ashdtu/gp-sarsa

PyBrain Style Implementation of Gaussian Process SARSA Reinforcement Learning Agent. Originally discussed here

artificial-intelligence bayesian-methods game-playing-agent gaussian-processes machine-learning reinforcement-learning

Last synced: 01 Aug 2025

https://github.com/topipa/iwmm

iwmm: an R package for adaptive importance sampling

bayesian bayesian-data-analysis bayesian-methods r r-package stan

Last synced: 30 Apr 2025

https://github.com/ngiann/gaussianvariationalinference.jl

Approximate variational inference in Julia

bayesian-inference bayesian-methods julia-language machine-learning posterior-distributions variational-inference

Last synced: 18 Aug 2025

https://github.com/ngiann/GaussianVariationalInference.jl

Approximate variational inference in Julia

bayesian-inference bayesian-methods julia-language machine-learning posterior-distributions variational-inference

Last synced: 04 May 2025

https://github.com/alexandersilvab/bflib

Header-only Bayes Filters Library

bayes bayesian bayesian-methods kalman-estimator kalman-filter kalman-filtering kalman-tracking kalmanfilter localization montecarlo particle-filter robot robotics

Last synced: 16 Aug 2025

https://github.com/lolab-msm/gleipnir

Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling

bayesian-methods biological-modeling model-selection nested-sampling parameter-estimation python systems-biology

Last synced: 09 May 2025

https://github.com/ngiann/ApproximateVI.jl

Approximate variational inference in Julia

bayesian-inference bayesian-methods julia-language machine-learning posterior-distributions variational-inference

Last synced: 05 Apr 2025

https://github.com/hsm207/statrethinking-julia

Statistical Rethinking Winter 2019 using Julia

bayesian bayesian-inference bayesian-methods bayesian-statistics julia machine-learning statistics

Last synced: 11 Apr 2025

https://github.com/brandonwillard/hsplus-python

Python implementations of the Horseshoe+ prior

bayesian-methods horseshoe-prior shrinkage-estimator

Last synced: 12 Aug 2025

https://github.com/estfernan/boost

A collection of novel and standard statistical techniques for detecting spatially variable (SV) genes in spatial transcriptomics (ST) data.

bayesian-methods r r-package spatial-transcriptomics spatially-variable-genes

Last synced: 28 Jan 2026

https://github.com/czheluo/env-pipeline

Bayesian method for Environmental correlations analysis pipeline

bayesian-methods environmental-correlations wgs

Last synced: 25 Dec 2025

https://github.com/wearepal/ethicml-models

Models for EthicML

bayesian-methods fairness gaussian-processes gpytorch pytorch

Last synced: 26 Feb 2025

https://github.com/openthermochronology/qtqtplot

Takes the raw time-temperature (t-T) output file from the QTQt thermal history modelling software of Gallagher (2012) and replots the output as an image displaying t-T path density.

bayesian-inference bayesian-methods julia-language plotting-scripts qtqt thermal-history time-temperature

Last synced: 08 Dec 2025

https://github.com/spacetelescope/pacman

The Proposal Auto-Categorizer and Manager (PACMan) is a Naive Bayesian routine that provides tools for science category sorting, panelist selection, and proposal-to-panelist assignments.

bayesian-methods categorizer classifier machine-learning natural-language-processing php proposal-manager python

Last synced: 10 Oct 2025

https://github.com/openthermochronology/empiricalbayes

Uses of a form of Empirical Bayes resampling (also known as Hierarchical Bayes) for more robust (U-Th)/He data uncertainty estimation for use in time-temperature history inversions.

bayesian-inference bayesian-methods bayesian-statistics empirical-bayes hierarchical-models

Last synced: 13 Oct 2025