ulrichlosener/BayesianSSD_attrition

This repository contains files for the project "Bayesian SSD with Attrition"

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ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

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mj-will/minipcn

A minimalistic preconditioned Crank-Nicolson MCMC sampler

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tum-pbs/pbdl-book

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

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mwohlfender/R_overdispersion_cluster_size

Code used in the analysis of the effective reproduction number and the dispersion parameter of SARS-CoV-2.

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BillyTheSquid21/Acoustic-Rough-Surface-Reconstruction

Provides code to use acoustic scattering for rough surface reconstruction.

Language: Python - Size: 501 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

NIFTy-PPL/J-UBIK

Universal Bayesian Imaging Kit for the removal of instrument caused degradations and calibration

Language: Python - Size: 56.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 1

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 16 days ago - Pushed at: 8 months ago - Stars: 222 - Forks: 29

google-deepmind/PGMax

Loopy belief propagation for factor graphs on discrete variables in JAX

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athowes/naomi-aghq

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

Language: R - Size: 830 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 1

soldasim/BOSS.jl

BOSS (Bayesian Optimization with Semiparametric Surrogate)

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dgerosa/astrostatistics_bicocca_2025

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

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jordandeklerk/pyloo

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

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tereom/quickcountmx

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

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CompEvol/sampled-ancestors

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

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IndrajeetPatil/statsExpressions

Tidy data frames and expressions with statistical summaries 📜

Language: R - Size: 38.9 MB - Last synced at: about 21 hours ago - Pushed at: 22 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: 5 days ago - Pushed at: 23 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: 23 days ago - Pushed at: 23 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.

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Becksteinlab/basicrta

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

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SUwonglab/CausalBGM

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

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joshspeagle/brutus

Modeling stellar photometry with "brute force" methods

Language: Python - Size: 67.1 MB - Last synced at: 11 days ago - Pushed at: 27 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.

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probcomp/GenParticleFilters.jl

Building blocks for simple and advanced particle filtering in Gen.

Language: Julia - Size: 434 KB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 2

johnveitch/cpnest

Parallel nested sampling

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google/bayesnf

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

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LukasMosser/stochastic_seismic_waveform_inversion

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

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pptacher/probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

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flyaflya/causact

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

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bmlip/colorized

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avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python

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cbg-ethz/SCICoNE

Single-cell copy number calling and event history reconstruction.

Language: C++ - Size: 47 MB - Last synced at: 11 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: 7 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: 26 days ago - Pushed at: 26 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: 26 days ago - Pushed at: 26 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: 26 days ago - Pushed at: 26 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.

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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.

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TuringLang/TuringGLM.jl

Bayesian Generalized Linear models using `@formula` syntax.

Language: Julia - Size: 252 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 74 - Forks: 8

jr-leary7/bayesVG

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

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JavierAntoran/Bayesian-Neural-Networks

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

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cescalara/hierarchical_nu

A Bayesian hierarchical model for source-nu associations

Language: Python - Size: 149 MB - Last synced at: 27 days ago - Pushed at: 27 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: 11 days ago - Pushed at: 11 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: 18 days ago - Pushed at: 2 months ago - Stars: 73 - Forks: 20

marmarelis/RankedChoices.jl

Analyzing ranked/ordinal preference data.

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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:

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ddbourgin/numpy-ml

Machine learning, in numpy

Language: Python - Size: 10 MB - Last synced at: 28 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: 26 days ago - Pushed at: 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

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larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced at: 26 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.

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mason-larobina/classi-cine

Build smart playlists from your video collection

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kumar-shridhar/PyTorch-BayesianCNN

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

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acerbilab/vbmc

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

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google/neural-tangents 📦

Fast and Easy Infinite Neural Networks in Python

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ramsey-devs/ramsey

Probabilistic deep learning using JAX

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martenlienen/bsi

Generative Modeling with Bayesian Sample Inference

Language: Python - Size: 7.11 MB - Last synced at: 4 days ago - Pushed at: about 1 month 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: 18 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

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dotnet/infer

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

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Teichlab/Genes2Genes

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

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sampsapursiainen/zeffiro_interface

Interface for using finite elements in inverse problems with complex domains

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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.

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malmgrek/gammy

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

Language: Python - Size: 6.78 MB - Last synced at: 7 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: about 1 month ago - Pushed at: about 1 month 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.

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probcomp/PClean

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

Language: Julia - Size: 1.36 MB - Last synced at: 27 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: 15 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: 19 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: 25 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: 6 days ago - Pushed at: 6 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

FrancoisPorcher/awesome-ai-tutorials

The best collection of AI tutorials to make you a boss of Data Science!

Language: Python - Size: 135 MB - Last synced at: about 12 hours ago - Pushed at: 6 months ago - Stars: 94 - Forks: 21

ericmjl/bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

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giladturok/drghmc Fork of flatironinstitute/bayes-kit

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

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ropensci/babette

babette is an R package to work with BEAST2

Language: R - Size: 10.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 45 - Forks: 6

aadya940/chainopy

ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 22 hours ago - Pushed at: 10 months ago - Stars: 17 - Forks: 1

thu-ml/zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Language: Python - Size: 1.75 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 2,222 - Forks: 419

nicholasmalaya/nicholasmalaya.github.io

Public Website for Nicholas Malaya

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USACE-RMC/RMC-BestFit

RMC-BestFit is a state-of-the-art Bayesian estimation and fitting software developed collaboratively by the USACE-RMC and ERDC-CHL.

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bayesflow-org/awesome-amortized-inference

This is a community-driven collection of resources around amortized inference.

Language: TeX - Size: 157 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 39 - Forks: 3

DynareJulia/Dynare.jl

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

Language: Julia - Size: 3.66 MB - Last synced at: 20 days ago - Pushed at: 25 days ago - Stars: 109 - Forks: 23

JWarmenhoven/DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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Ann155a/data-mining-with-R

R code utilities

Language: R - Size: 21.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mj-will/nessai

nessai: Nested Sampling with Artificial Intelligence

Language: Python - Size: 3.86 MB - Last synced at: 14 days ago - Pushed at: 17 days ago - Stars: 40 - Forks: 4

itsdfish/TrueAndErrorModels.jl

Language: Julia - Size: 1.96 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

Wytamma/beastiary

Real time and remote MCMC trace monitoring with BEASTIARY.

Language: Vue - Size: 54.3 MB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 20 - Forks: 2

salleuska/fastCPPP

Supplementary code for the paper "Computational methods for fast Bayesian hierarchical model assessment via calibrated posterior p-values."

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chalk-lab/NestedSamplers.jl

Implementations of single and multi-ellipsoid nested sampling

Language: Julia - Size: 34.6 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 47 - Forks: 10

ViktorAJStein/Accelerated_Stein_Variational_Gradient_Flows

Accelerated Stein Variational Gradient Descent for sampling for densities

Language: Python - Size: 3.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

giga-lens/gigalens

Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 11 - Forks: 6

ma921/SOBER

Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 26 - Forks: 1

lazydynamics/RxInferServer

RESTful HTTP endpoints to RxInfer

Language: Julia - Size: 3.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 3

edserranoc/Inverse_Problems_Course

Inverse Problems Course.

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

Language: TeX - Size: 440 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2,199 - Forks: 561

Digiratory/bayes_model

An open-source application designed to facilitate feature dependency modeling and evaluation using Bayesian Networks.

Language: Python - Size: 8.33 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

tpapp/DynamicHMC.jl

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

Language: Julia - Size: 1.14 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 251 - Forks: 21

tpapp/LogDensityProblems.jl

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

Language: Julia - Size: 1.18 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 41 - Forks: 9

m-clark/bayesian-basics

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

Language: Stan - Size: 93 MB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 26