GitHub topics: bayesian-inference

Repositories

athowes/naomi-aghq

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature

Language: R - Size: 830 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 4 - Forks: 1

soldasim/BOSS.jl

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Language: Julia - Size: 3.23 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 4 - Forks: 1

dgerosa/astrostatistics_bicocca_2025

Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)

Language: Jupyter Notebook - Size: 498 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 7 - Forks: 46

jordandeklerk/pyloo

Python package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS) for Bayesian Modeling

Language: Python - Size: 4.44 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 1

tereom/quickcountmx

R package with functions to estimate election results based on final counts of polling stations.

Language: R - Size: 11.3 MB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 2

CompEvol/sampled-ancestors

This BEAST2 package provides MCMC proposals and post-processing tools for sampling trees containing sampled ancestors

Language: Java - Size: 4.47 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 7 - Forks: 12

IndrajeetPatil/statsExpressions

Tidy data frames and expressions with statistical summaries 📜

Language: R - Size: 38.9 MB - Last synced at: 16 days ago - Pushed at: 20 days ago - Stars: 313 - Forks: 20

florale/multilevelcoda

multilevelcoda R package for Bayesian multilevel compositional data analysis

Language: R - Size: 227 MB - Last synced at: 3 days ago - Pushed at: 20 days ago - Stars: 19 - Forks: 2

ansleybrown1337/bayes-sampler-comparison

A comparison investigation of water sampling methods using Bayesian inference modeling as part of a 2023 study by the CSU Agricultural Water Quality Program

Size: 136 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

RoryQo/Difference-in-Number-of-Children-by-Education-Level-in-Men

Using a Bayesian Poisson model and sampling with Monte Carlo simulations to analyze whether men with a bachelor's degree have fewer children on average than those without, while accounting for potential overdispersion and model fit.

Language: R - Size: 542 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 10 - Forks: 0

Becksteinlab/basicrta

Bayesian nonparametric inference of ligand binding kinetics from molecular dynamics simulations.

Language: Python - Size: 10.6 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 3

SUwonglab/CausalBGM

An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Language: Python - Size: 2.43 MB - Last synced at: 18 days ago - Pushed at: 21 days ago - Stars: 6 - Forks: 4

joshspeagle/brutus

Modeling stellar photometry with "brute force" methods

Language: Python - Size: 67.1 MB - Last synced at: 9 days ago - Pushed at: 24 days ago - Stars: 44 - Forks: 9

Romilagarwal/diabetic_retinoplasty

A hybrid deep learning framework for automated diabetic retinopathy detection combining EfficientNetB0 with Swin Transformer attention mechanisms. Features Bayesian uncertainty quantification through Monte Carlo Dropout, explainable AI visualizations with Grad-CAM, and specialized preprocessing techniques.

Language: Python - Size: 52.6 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

probcomp/GenParticleFilters.jl

Building blocks for simple and advanced particle filtering in Gen.

Language: Julia - Size: 434 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 2

johnveitch/cpnest

Parallel nested sampling

Language: Python - Size: 1.1 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 29 - Forks: 26

google/bayesnf

Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets

Language: Python - Size: 14.3 MB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 129 - Forks: 13

CompEvol/beast2

Bayesian Evolutionary Analysis by Sampling Trees

Language: Java - Size: 93.6 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 248 - Forks: 84

LukasMosser/stochastic_seismic_waveform_inversion

Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 52 - Forks: 15

pptacher/probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

Language: C++ - Size: 35.5 MB - Last synced at: 22 days ago - Pushed at: about 2 years ago - Stars: 1,271 - Forks: 378

flyaflya/causact

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Language: R - Size: 12.8 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 47 - Forks: 12

bmlip/colorized

Language: Julia - Size: 9.76 MB - Last synced at: 5 days ago - Pushed at: 22 days ago - Stars: 10 - Forks: 0

avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 1,015 - Forks: 302

cbg-ethz/SCICoNE

Single-cell copy number calling and event history reconstruction.

Language: C++ - Size: 47 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 24 - Forks: 8

cescalara/PartonDensity.jl

A Bayesian approach to parton density extraction.

Language: Julia - Size: 28.2 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 6

RoryQo/Evaluating-Study-Time-Differences-Across-Schools

Use conjugate priors and monte carlo process to asses the differences of mean study times between schools.

Language: R - Size: 559 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 9 - Forks: 0

BaM-tools/BaM

BaM (Bayesian Modeling) is a framework aimed at estimating a model using a bayesian approach and using it for prediction, with a particular focus on uncertainty quantification.

Language: Fortran - Size: 5.9 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 2 - Forks: 0

baggepinnen/LowLevelParticleFilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Language: Julia - Size: 355 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 130 - Forks: 17

erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 514 - Forks: 50

jaleesr/BITFAM

BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.

Language: R - Size: 61.6 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 31 - Forks: 17

TuringLang/TuringGLM.jl

Bayesian Generalized Linear models using `@formula` syntax.

Language: Julia - Size: 252 MB - Last synced at: 5 days ago - Pushed at: 9 days ago - Stars: 74 - Forks: 8

jr-leary7/bayesVG

Identify variable genes in scRNA-seq and spatial transcriptomics data using Bayesian inference

Language: R - Size: 26.1 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 2 - Forks: 0

JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 308

cescalara/hierarchical_nu

A Bayesian hierarchical model for source-nu associations

Language: Python - Size: 149 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 1

astro-informatics/harmonic

Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection

Language: Python - Size: 13.7 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 68 - Forks: 9

FRBNY-DSGE/SMC.jl

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Language: Julia - Size: 114 MB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 73 - Forks: 20

marmarelis/RankedChoices.jl

Analyzing ranked/ordinal preference data.

Language: Julia - Size: 83 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 3 - Forks: 1

NBISweden/MrBayes

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

Language: C - Size: 43.5 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 243 - Forks: 84

ddbourgin/numpy-ml

Machine learning, in numpy

Language: Python - Size: 10 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 16,097 - Forks: 3,803

IntelLabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Language: Python - Size: 255 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 590 - Forks: 80

patrick-t98/quantitative-finance-notebooks

A collection of educational notebooks covering key mathematical concepts and their applications in quantitative finance

Language: Jupyter Notebook - Size: 5.2 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 20 - Forks: 2

larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 13

giusesorrentino/labtoolbox

LabToolbox is a collection of tools for the analysis and processing of experimental data in scientific research.

Language: Python - Size: 3.67 MB - Last synced at: 2 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

mason-larobina/classi-cine

Build smart playlists from your video collection

Language: Rust - Size: 993 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 4 - Forks: 0

kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Language: Python - Size: 66.2 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 1,498 - Forks: 329

acerbilab/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Language: MATLAB - Size: 24.6 MB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 224 - Forks: 42

google/neural-tangents 📦

Fast and Easy Infinite Neural Networks in Python

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 2,339 - Forks: 231

ramsey-devs/ramsey

Probabilistic deep learning using JAX

Language: Python - Size: 3.38 MB - Last synced at: 24 days ago - Pushed at: 4 months ago - Stars: 14 - Forks: 3

martenlienen/bsi

Generative Modeling with Bayesian Sample Inference

Language: Python - Size: 7.11 MB - Last synced at: 2 days ago - Pushed at: 28 days ago - Stars: 22 - Forks: 4

buqeye/gsum

A Bayesian model of series convergence using Gaussian sums

Language: Python - Size: 73.1 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 2

Bizovi/Bizovi.github.io

A blog about Economics, Bayesian data analysis, machine learning, complexity economics and critical thinking

Language: TeX - Size: 141 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 5 - Forks: 0

dotnet/infer

Infer.NET is a framework for running Bayesian inference in graphical models

Language: C# - Size: 34.9 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 1,588 - Forks: 232

Teichlab/Genes2Genes

Aligning gene expression trajectories of single-cell reference and query systems

Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 65 - Forks: 8

sampsapursiainen/zeffiro_interface

Interface for using finite elements in inverse problems with complex domains

Language: MATLAB - Size: 1.13 GB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 29 - Forks: 15

AdityaSavara/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.

Language: Python - Size: 720 MB - Last synced at: 23 days ago - Pushed at: 30 days ago - Stars: 14 - Forks: 5

malmgrek/gammy

:octopus: Generalized additive models in Python with a Bayesian twist

Language: Python - Size: 6.78 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 78 - Forks: 5

pacargile/ThePayne

Artificial Neural-Net compression and fitting of synthetic spectral grids.

Language: Python - Size: 22.2 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 20 - Forks: 3

oreum-industries/oreum_copula

Reference Copula Regression Modelling using Bayesian inference and a Bayesian workflow, specifically using the `pymc` & `arviz` ecosystem.

Language: Jupyter Notebook - Size: 81.8 MB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

probcomp/PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Language: Julia - Size: 1.36 MB - Last synced at: 25 days ago - Pushed at: 11 months ago - Stars: 223 - Forks: 33

zackxzhang/gpie

Gaussian Process tiny explorer

Language: Python - Size: 5.14 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Language: R - Size: 261 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 1,324 - Forks: 196

hvasbath/beat

Bayesian Earthquake Analysis Tool

Language: Python - Size: 47.4 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 142 - Forks: 43

miguelfrndz/pyHaiCS

Python Library for Hamiltonian Markov-Chain Monte-Carlo in Computational Statistics (pyHaiCS).

Language: Python - Size: 9.65 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

mlcolab/Pathfinder.jl

Preheat your MCMC

Language: Julia - Size: 24 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 79 - Forks: 9

StatisticsHealthEconomics/outstandR

An R package for model-based standardisation.

Language: R - Size: 87.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 1

ericmjl/bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

Language: Jupyter Notebook - Size: 96.6 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 665 - Forks: 278

giladturok/drghmc Fork of flatironinstitute/bayes-kit

[AIStats 2025] Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo.

Language: Jupyter Notebook - Size: 456 MB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 7 - Forks: 1

Related Keywords

bayesian-inference 1,809 machine-learning 290 python 215 bayesian-statistics 204 mcmc 181 statistics 166 bayesian 150 r 123 probabilistic-programming 112 variational-inference 107 deep-learning 103 stan 88 gaussian-processes 81 bayesian-methods 78 data-science 68 markov-chain-monte-carlo 66 julia 61 bayesian-data-analysis 56 pytorch 55 bayesian-network 52 pymc3 46 bayesian-neural-networks 43 artificial-intelligence 39 r-package 37 bayesian-optimization 36 bayes 34 inference 34 uncertainty-quantification 34 time-series 34 tensorflow 33 bayesian-networks 33 mcmc-sampler 32 gibbs-sampling 31 astronomy 31 probabilistic-models 30 hierarchical-models 30 data-analysis 30 nested-sampling 30 causal-inference 30 neural-networks 29 reinforcement-learning 29 neural-network 26 jags 25 probabilistic-graphical-models 25 matlab 25 julia-language 25 rstats 24 parameter-estimation 23 regression 23 jax 23 metropolis-hastings 23 pymc 23 covid-19 22 statistical-analysis 22 uncertainty 22 modeling 22 bayesian-deep-learning 22 astrophysics 22 probability 22 particle-filter 21 machine-learning-algorithms 21 sequential-monte-carlo 21 sampling-methods 20 python3 20 linear-regression 20 monte-carlo 20 markov-chain 20 inverse-problems 20 hamiltonian-monte-carlo 20 jupyter-notebook 19 deep-neural-networks 19 rstan 18 natural-language-processing 18 sampling 18 gravitational-waves 17 statistical-inference 17 variational-bayes 17 graphical-models 16 statistical-models 16 multilevel-models 16 simulation 15 cosmology 15 clustering 15 model-selection 15 time-series-analysis 15 brms 15 simulation-based-inference 14 pyro 14 numpy 14 optimization 14 normalizing-flows 14 classification 14 logistic-regression 14 epidemiology 14 computer-vision 14 phylogenetics 14 geophysics 13 data-visualization 13 ai 13 bioinformatics 13