Projects in Awesome Lists tagged with bayesian

https://github.com/pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

bayesian bayesian-inference deep-learning machine-learning probabilistic-modeling probabilistic-programming python pytorch variational-inference

Last synced: 12 May 2025

https://github.com/MingchaoZhu/DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 18 Apr 2025

https://github.com/mingchaozhu/deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 12 Apr 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/probcomp/gen.jl

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 05 Oct 2025

https://probcomp.github.io/Gen

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 19 Jul 2025

https://github.com/probcomp/Gen.jl

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 15 Mar 2025

https://github.com/arviz-devs/arviz

Exploratory analysis of Bayesian models with Python

bayesian closember python

Last synced: 12 May 2025

https://arviz-devs.github.io/arviz/

Exploratory analysis of Bayesian models with Python

bayesian closember python

Last synced: 03 May 2025

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

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

bayesian complex-geological-models geological geology geoscience implicit interpolation modeling monte-carlo-simulation python torch uncertainties uncertainty-analysis uq

Last synced: 13 May 2025

https://github.com/bayesgroup/deepbayes-2018

Seminars DeepBayes Summer School 2018

bayesian deep-learning variational-inference

Last synced: 12 Apr 2025

https://github.com/avehtari/bda_py_demos

Bayesian Data Analysis demos for Python

bayesian bayesian-data-analysis bayesian-inference mcmc python stan

Last synced: 16 May 2025

https://github.com/avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python

bayesian bayesian-data-analysis bayesian-inference mcmc python stan

Last synced: 19 Jul 2025

https://github.com/gempy-project/gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

bayesian complex-geological-models geological geology geoscience implicit interpolation modeling monte-carlo-simulation python torch uncertainties uncertainty-analysis uq

Last synced: 15 Dec 2025

https://github.com/google/lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

bayesian data-science econometrics marketing-science mmm

Last synced: 06 May 2025

https://github.com/easystats/report

:scroll: :tada: Automated reporting of objects in R

anovas apa automated-report-generation automatic bayesian describe easystats hacktoberfest manuscript models r r-package report reporting reports rstats scientific statsmodels

Last synced: 14 May 2025

https://easystats.github.io/report/

:scroll: :tada: Automated reporting of objects in R

anovas apa automated-report-generation automatic bayesian describe easystats hacktoberfest manuscript models r r-package report reporting reports rstats scientific statsmodels

Last synced: 26 Mar 2025

https://github.com/ericmjl/bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesian bayesian-data-analysis bayesian-data-science bayesian-inference bayesian-statistics pymc

Last synced: 04 Apr 2025

https://github.com/easystats/bayestestr

:ghost: Utilities for analyzing Bayesian models and posterior distributions

bayes-factors bayesfactor bayesian bayesian-framework credible-interval easystats hacktoberfest hdi map posterior-distributions r rope rstats

Last synced: 14 May 2025

https://github.com/easystats/bayestestR

:ghost: Utilities for analyzing Bayesian models and posterior distributions

bayes-factors bayesfactor bayesian bayesian-framework credible-interval easystats hacktoberfest hdi map posterior-distributions r rope rstats

Last synced: 30 Jul 2025

https://github.com/avehtari/bda_r_demos

Bayesian Data Analysis demos for R

bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan

Last synced: 14 Apr 2025

https://github.com/avehtari/BDA_R_demos

Bayesian Data Analysis demos for R

bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan

Last synced: 14 Mar 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/Harry24k/bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network [torchbnn]

bayesian deep-learning neural-network pytorch

Last synced: 09 Oct 2025

https://github.com/harry24k/bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network [torchbnn]

bayesian deep-learning neural-network pytorch

Last synced: 04 Apr 2025

https://github.com/js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

arxiv bayesian bayesian-deep-learning bdl deep-learning machine-learning neural-networks survey variational-autoencoders

Last synced: 14 Mar 2025

https://github.com/AmazaspShumik/sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

bayesian bayesian-machine-learning machine-learning python scikit-learn

Last synced: 27 Mar 2025

https://github.com/wwrechard/pydlm

A python library for Bayesian time series modeling

bayesian dlm model python seasonality statistics time-series timeseries trends

Last synced: 14 Mar 2025

https://github.com/easystats/correlation

:link: Methods for Correlation Analysis

bayesian bayesian-correlations biserial cor correlation correlation-analysis correlations easystats gamma gaussian-graphical-models hacktoberfest matrix multilevel-correlations outliers partial partial-correlations r regression robust spearman

Last synced: 14 May 2025

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

bayesplot R package for plotting Bayesian models

bayesian ggplot2 mcmc pandoc r-package stan statistical-graphics visualization

Last synced: 15 May 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/uncomplicate/bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

bayesian bayesian-data-analysis bayesian-inference clojure clojure-library cuda gpu gpu-acceleration gpu-computing high-performance-computing machine-learning markov-chain-monte-carlo mcmc opencl statistics

Last synced: 09 Apr 2025

https://github.com/storopoli/Bayesian-Statistics

Bayesian statistics graduate course

bayesian bayesian-statistics course julia probabilistic-programming probability stan turing

Last synced: 09 Oct 2025

https://github.com/storopoli/bayesian-statistics

Bayesian statistics graduate course

bayesian bayesian-statistics course julia probabilistic-programming probability stan turing

Last synced: 26 Jan 2026

https://github.com/winstxnhdw/autocarros2

A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.

ackermann-vehicle bayesian gazebo occupancy-grid-map path-planning path-tracking raytracing rclcpp rclpy ros2 stanley-controller

Last synced: 15 Sep 2025

https://github.com/quantumjot/btrack

Bayesian multi-object tracking

bayesian btrack cell-tracking kalman-filter multi-object-tracking object-tracking optimization tracking-algorithm

Last synced: 12 Dec 2025

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

ELFI - Engine for Likelihood-Free Inference

bayesian bayesian-inference inference likelihood-free python simulator statistics

Last synced: 21 Oct 2025

https://github.com/wujian16/Cornell-MOE

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization

Last synced: 01 May 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/wiseodd/probabilistic-models

Collection of probabilistic models and inference algorithms

bayesian bayesian-inference dirichlet-process gibbs-sampling machine-learning mcmc probabilistic-models python variational-inference

Last synced: 13 Apr 2025

https://github.com/PecanProject/pecan

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants r

Last synced: 07 May 2025

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

Database with posteriors of interest for Bayesian inference

bayes bayesian posterior

Last synced: 26 Jan 2026

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/m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 14 Mar 2025

https://github.com/m-clark/miscellaneous-r-code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 13 Apr 2025

https://github.com/ebtech/elo-mmr

Skill estimation systems for multiplayer competitions

bayesian codeforces competition elo estimation rating rust skill

Last synced: 15 May 2025

https://github.com/sony/sqvae

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

bayesian deep-generative-model generative-model gumbel-softmax machine-learning pytorch vae variational-autoencoder vector-quantization vq-vae

Last synced: 21 Aug 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/muatik/naive-bayes-classifier

yet another general purpose naive bayesian classifier.

bayes-classifier bayesian classifier machine-learning python

Last synced: 11 Jan 2026

https://github.com/avehtari/modelselection

Case studies on model assessment, model selection and inference after model selection

bayesian rstanarm stan variable-selection

Last synced: 05 Jan 2026

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

The posterior R package

bayes bayesian mcmc r-package

Last synced: 04 Apr 2025

https://github.com/sysbiochalmers/dlkcat

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction

bayesian deep-learning enzyme-constraints enzyme-turnover-number kcat kinetics

Last synced: 29 Jul 2025

https://github.com/neuropsychology/psycho.r

An R package for experimental psychologists

apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics

Last synced: 05 Apr 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/neuropsychology/psycho.R

An R package for experimental psychologists

apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics

Last synced: 13 Jul 2025

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

CmdStanR: the R interface to CmdStan

bayes bayesian markov-chain-monte-carlo maximum-likelihood mcmc r-package stan variational-inference

Last synced: 07 Apr 2025

https://github.com/ericmjl/bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

bayesian bayesian-deep-learning deep-learning deep-neural-networks deeplearning fundamental-concepts

Last synced: 13 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: 05 Apr 2025

https://github.com/probabilists/lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

bayesian density-estimation density-ratio-estimation inference likelihood-free-inference normalizing-flows probability python pytorch simulation-based-inference

Last synced: 09 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/ColtAllen/btyd

Buy Till You Die and Customer Lifetime Value statistical models in Python.

bayesian buy-til-you-die customer-lifetime-value data-science python

Last synced: 06 May 2025

https://github.com/mangiolalaboratory/sccomp

Mixed-effect model to test differences in cell type proportions from single-cell data, in R

batch-correction bayesian composition cytof differential-proportion microbiome multilevel proportions r-package random-effects single-cell unwanted-variation

Last synced: 20 Oct 2025

https://github.com/quantopian/bayesalpha

Bayesian models to compute performance and uncertainty of returns and alpha.

bayesian probabilistic-programming quantitative-finance

Last synced: 29 Aug 2025

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

Projection predictive variable selection

bayes bayesian bayesian-inference r-package rstanarm stan statistics variable-selection

Last synced: 05 Apr 2025

https://github.com/lettier/lda-topic-modeling

A PureScript, browser-based implementation of LDA topic modeling.

bayesian bulma bulma-css clustering data-science functional-programming gibbs-sampling latent-dirichlet-allocation lda machine-learning machine-learning-algorithms natural-language-processing nlp nlp-machine-learning purescript reactive reactive-programming text-mining thermite topic-modeling

Last synced: 07 Oct 2025

https://github.com/ramsayleung/bayes_spam_sniper

Self-learning intelligent Telegram spam blocker bot, 自学习的Telegram智能广告拦截机器人

bayesian bot rubyonrails telegram

Last synced: 11 Nov 2025

https://github.com/arviz-devs/arviz.jl

Exploratory analysis of Bayesian models with Julia

bayesian julia

Last synced: 26 Sep 2025

https://github.com/ampersandtv/pymc3-hmm

Hidden Markov models in PyMC3

bayesian ffbs hmm pymc3

Last synced: 21 Oct 2025

https://github.com/JEFworks-Lab/HoneyBADGER

HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data

bayesian bioinformatics cnv-detection heterogeneity hmm single-cell-analysis single-cell-rna-seq subpopulation transcriptomics

Last synced: 09 Apr 2025

https://github.com/MangiolaLaboratory/sccomp

Testing differences in cell type proportions from single-cell data.

batch-correction bayesian composition cytof differential-proportion microbiome multilevel proportions r-package random-effects single-cell unwanted-variation

Last synced: 07 Oct 2025

https://github.com/zlxy9892/ml_code

A repository for recording the machine learning code

apriori artificial-intelligence bayesian clustering cv decision-tree deep-learning k-means keras knn logistic-regression machine-learning mnist neural-network nlp pca scikit-learn sklearn svd tensorflow

Last synced: 22 Jul 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/catavallejos/BASiCS

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

bayesian bioconductor-package gene-expression r rcpp rcpparmadillo scrna-seq single-cell

Last synced: 08 Apr 2025

https://github.com/catavallejos/basics

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

bayesian bioconductor-package gene-expression r rcpp rcpparmadillo scrna-seq single-cell