GitHub topics: bayesian-methods
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.
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tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
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nimble-dev/nimble
The base NIMBLE package for R
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Heracleitos/Heracleitos.github.io
The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.
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stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
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nansencenter/DAPPER
Data Assimilation with Python: a Package for Experimental Research
Language: Python - Size: 9.12 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 380 - Forks: 128

brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
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NumCosmo/NumCosmo
NumCosmo main code
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Joshuaalbert/jaxns
Probabilistic Programming and Nested sampling in JAX
Language: Python - Size: 52.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 187 - Forks: 15

avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
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tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
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rhayes777/PyAutoFit
PyAutoFit: Classy Probabilistic Programming
Language: Python - Size: 26.2 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 64 - Forks: 12

traitecoevo/hmde
Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.
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blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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alexmclain/PROBE
PaRtitiOned empirical Bayes Ecm (PROBE)
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ctpeterson/SwissFit
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
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GuillaumeBiessy/WH
Revisiting Whittaker-Henderson Smoothing
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jbrea/BayesianOptimization.jl
Bayesian optimization for Julia
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FrankPortman/bayesAB
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
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StochasticTree/stochtree
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
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Kuan-Liu-Lab/bayesmsm
An R package for Bayesian Marginal Structural Models
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n-kall/priorsense
priorsense: an R package for prior diagnostics and sensitivity
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stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
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rb-thompson/xgb-exercises
Various data processing techniques for handling missing values
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google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
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grinisrit/noa
Differentiable Programming Algorithms in Modern C++
Language: LLVM - Size: 153 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 150 - Forks: 29

mlojek/bayesian-classifier-chain
Bayesian Chain Classifier for multi-label classification task.
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amirabbasasadi/mathematics-computerscience-courses
A collection of awesome mathematics and computer science courses
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pyxu-org/pyxu
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
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jmuchovej/ppl-and-bayesian-methods-gen-pyro Fork of CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
A rewrite of "Bayesian Methods for Hackers" in Pyro and Gen.jl. Still holding-fast to the "computation/understanding-first, mathematics-second" teaching paradigm - just using "more modern" libraries.
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google-research/hyperbo
Pre-trained Gaussian processes for Bayesian optimization
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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 ;)
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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.
Language: Python - Size: 720 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 5

uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Language: Python - Size: 160 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1,971 - Forks: 136

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

pints-team/pints
Probabilistic Inference on Noisy Time Series
Language: Python - Size: 192 MB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 238 - Forks: 34

aus10powell/Fuzzy-Dempster-Shafer
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
Language: Python - Size: 223 KB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 25 - Forks: 7

Seymurhh/project-bayesian-data-modeling
Energy Efficiency Analysis in Buildings This repository presents an exploratory analysis and modeling approach to evaluate energy efficiency in buildings, specifically targeting the heating and cooling loads. The project utilizes the UCI Energy Efficiency dataset to identify significant predictors influencing energy consumption, applying regressio
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krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
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abhinabasaha/ml
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markovmodel/PyEMMA 📦
🚂 Python API for Emma's Markov Model Algorithms 🚂
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tpapp/LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
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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: 26 days ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 26

leonardocremasco/TME-Agent
TME: Structured memory engine for LLM agents to plan, rollback, and reason across multi-step tasks. DAG upgrade in progress.
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fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
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wpgp/wopr
An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)
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ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
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BayesianRL/NonparametricVI.jl
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
Language: Julia - Size: 13.1 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 14 - Forks: 0

nansencenter/DA-tutorials
Tutorials on data assimilation (DA) and the EnKF
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epiverse-trace/serofoi
Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
Language: R - Size: 16.3 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 20 - Forks: 4

google/edward2
A simple probabilistic programming language.
Language: Jupyter Notebook - Size: 21 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 692 - Forks: 76

jgomezdans/BRDF_modelling
BRDF modelling using linear kernel models
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Sardhendu/Data-Science-Projects
{PySpark, R, Python}: Several Data Science projects
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SirCornflake/BMS
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.
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rlhinrichs/deepsleepai
🧠 DeepSleepAI – EEG Signal Automated Classification
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stratisMarkou/sample-efficient-bayesian-rl
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
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stan-dev/shinystan
shinystan R package and ShinyStan GUI
Language: R - Size: 32.9 MB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 199 - Forks: 47

kenlimmj/fightin-words
A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.
Language: Python - Size: 10.7 KB - Last synced at: 29 days ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 4

abdullahau/bayesian-analysis
Bayesian data analysis and causal inference using Python & PyMC
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carpentries-incubator/statistical-probabilistic-programming-r
Introduction to Probabilistic Programming
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hbmep/hbmep
Hierarchical Bayesian estimation of MEP recruitment curves
Language: Python - Size: 7.09 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Language: C++ - Size: 13.2 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 115 - Forks: 14

Shmuma/rethinking-2ed-julia
Port of Statistical Rethinking (2nd edition) code to Julia
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cgre-aachen/bayseg
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
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mikeroyal/Bayesian-Statistics-Guide
Bayesian Statistics Guide
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rfeinman/pyBPL
Python implementation of Bayesian Program Learning tools (with PyTorch)
Language: Python - Size: 43.5 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 71 - Forks: 11

SuperBruceJia/EEG-BayesianCNN
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
Language: Python - Size: 204 KB - Last synced at: 22 days ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 3

tallamjr/barberbook
Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
Language: MATLAB - Size: 5.82 MB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 9

thevaachandereng/bayesCT
Adaptive Bayesian Clinical Trial
Language: R - Size: 2.64 MB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 7

dennishnf/indoor-location-using-naive-bayes
The scripts were intended to describe a Naive-Bayes-based approach to indoor location via WiFi signals.
Language: Python - Size: 79.1 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 17 - Forks: 2

ThomasGesseyJones/FullyBayesianForecastsExample
Example of a fully Bayesian forecast using evidence networks applied to 21-cm cosmology
Language: TeX - Size: 5.74 MB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 9 - Forks: 1

weijie-chen/Bayesian-Statistics-Econometrics
Bayesian Statistics-Econometrics
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biaslab/ForneyLab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Language: Julia - Size: 33.3 MB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 149 - Forks: 33

LaloLozas16041/BayesianStatistics
Aquí encontrarás materiales didácticos, ejercicios, conjuntos de datos y recursos para profundizar en el análisis bayesiano. Este curso está dirigido a estudiantes interesados en métodos estadísticos avanzados, análisis de datos y programación estadística.
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nfmcclure/DataScience350
Notes for Data Science 350 Class
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OFAI/BayesianNonparametrics.jl
BayesianNonparametrics in julia
Language: Julia - Size: 284 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 32 - Forks: 11

fulldecent/19-questions
A machine learning / bayesian inference engine assigning attributes to objects
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cdslaborg/paramontex
This is a repository for the ParaMonte library examples. For more information, visit:
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Apriasih/Bayesian
My solutions to exercises from “An Introduction to Bayesian Data Analysis for Cognitive Science” by Bruno Nicenboim, Daniel J. Schad, and Shravan Vasishth
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andreacasalino/Easy-Factor-Graph
General purpose C++ library for managing discrete factor graphs
Language: C++ - Size: 17.9 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 4

avehtari/rhat_ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
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alexkroman/bayesian-planner
Simple script to illustrate Bayesian probabilities
Language: JavaScript - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

chritoth/bci-arco-gp
ArCO-GP, an effective method for Bayesian causal inference via structural marginalisation and neural autoregressive orders.
Language: Python - Size: 98.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

rustamhidayatsimatupang/BayesArima
BayesARIMA
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jottemka/agglomeration_condition
A new but puzzling condition for agglomeration in Bayesian confirmation.
Language: Jupyter Notebook - Size: 427 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

czheluo/Env-pipeline
Bayesian method for Environmental correlations analysis pipeline
Language: Python - Size: 4.62 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

VerisimilitudeX/PasswordLLM
A fast combinatorial tool that tests your password against real-world scenarios utilizing a novel Bayesian Machine Learning (BML) approach.
Language: Rust - Size: 11.8 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 14 - Forks: 2

madbro206/maddy_machinelearning
CSE 546 Machine Learning Class @ UW
Language: Python - Size: 4.28 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

dmenne/breathteststan
Stan-based fitting function for use with dmenne/breathtestcore. Stan functions are in a separate package for easier testing.
Language: R - Size: 6.52 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

comodin19/BayesVarSel
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
Language: C - Size: 2.87 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 5

LoLab-MSM/Gleipnir
Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling
Language: Python - Size: 359 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

garethmarkel/PRScs.jl
Julia implementation of Ge et al's PRScs
Language: Julia - Size: 35.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

GiorgiaAuroraAdorni/bn-based-learning-networks-with-noisy-gates
Language: Java - Size: 42.4 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Language: Python - Size: 641 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 202 - Forks: 30

m-clark/mcmc-algorithms
Raw files for a document providing a list of mcmc algorithm descriptions.
Size: 1.8 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

kyosek/Probability-Calibration-Imbalanced
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
Language: Python - Size: 310 KB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 13 - Forks: 4

stablemarkets/BSP_DTR
Companion code for the following paper: https://doi.org/10.1093/biostatistics/kxad035
Language: R - Size: 404 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

topipa/iwmm
iwmm: an R package for adaptive importance sampling
Language: R - Size: 505 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 2

christopherdanielhare/anominate
alpha-NOMINATE Ideal Point Estimator (R package)
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FoamScience/nhr-training-sandia-d-flame-presentation
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