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88 search results found

Bayesian Modeling and Probabilistic Programming in Python

Numpyro ⭐ 1,966

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Bayesian Neural Networks ⭐ 1,633

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

RStan, the R interface to Stan

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Bayespy ⭐ 666

Bayesian Python: Bayesian inference tools for Python

Dbda Python ⭐ 543

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

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Bayesian Evolutionary Analysis by Sampling Trees

Exoplanet ⭐ 200

Fast & scalable MCMC for all your exoplanet needs!

⚡️ zeus: Lightning Fast MCMC ⚡️

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

A Bayesian Analysis Toolkit in Julia

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Gpstuff ⭐ 144

GPstuff - Gaussian process models for Bayesian analysis

The base NIMBLE package for R

Pythonmcmc ⭐ 119

A list of Python-based MCMC & ABC packages

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Awesome Bayes ⭐ 98

List of resources for bayesian inference

Bridge.jl ⭐ 77

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Geophysical Bayesian Inference in Python. Docs:

Bayesian Stats With R ⭐ 65

Material for a workshop on Bayesian stats with R

Sandia Uncertainty Quantification Toolkit

Pigeons.jl ⭐ 62

Distributed and parallel sampling from intractable distributions

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Turingglm.jl ⭐ 59

Bayesian Generalized Linear models using `@formula` syntax.

Pyautofit ⭐ 54

PyAutoFit: Classy Probabilistic Programming

Anesthetic ⭐ 53

Nested Sampling post-processing and plotting

Bayesian MCMC matrix factorization algorithm

Dirichletprocess ⭐ 53

Build dirichletprocess objects for data analysis

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python

A web interface for exploring PyMC3 traces

Bda_m_demos ⭐ 42

Bayesian Data Analysis demos for Matlab/Octave

BAS R package https://merliseclyde.github.io/BAS/

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

Bayesforecast ⭐ 38

Automatic forecasting and Bayesian modeling for time series with Stan

Distributed Bayesian Entity Resolution in Apache Spark

Bayesian Inference of State Space Models

Dynamichmcexamples.jl ⭐ 37

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Carma_pack ⭐ 36

MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

Logdensityproblems.jl ⭐ 34

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

Bbsbayes ⭐ 30

An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data

Bvartools ⭐ 27

Functions for Bayesian inference of vector autoregressive and vector error correction models

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Pysgmcmc ⭐ 23

Stochastic Gradient MCMC Methods for Tensorflow

Rhat_ess ⭐ 22

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

Blangsdk ⭐ 22

Blang's software development kit

Bayesian_workshop ⭐ 21

Material for a Bayesian statistics workshop

Hawkesprocesses.jl ⭐ 20

MCMC Inference for a Hawkes process in Julia

Posteriorplots.jl ⭐ 20

Graphical tools for Bayesian inference and posterior predictive checks.

Parallel library for approximate inference on discrete Bayesian networks

Single-cell copy number calling and event history reconstruction.

Multibugs ⭐ 20

Multi-core BUGS for fast Bayesian inference of large hierarchical models

Bayesian Neural Networks Reading List ⭐ 16

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Het_agents_bayes ⭐ 16

Estimation of heterogeneous agent models using both macro and micro data

3dmmdepthfitting ⭐ 15

Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

Bayesian Inference with Markov Chain Monte Carlo in Clojure

Beastiary ⭐ 14

Real time and remote MCMC trace monitoring with BEASTIARY.

A friendly MCMC framework

Laplacesdemon ⭐ 13

A complete environment for Bayesian inference within R

Bnpmix.jl ⭐ 11

Bayesian Nonparametric Mixture Models in Julia

Manifold Mcmc For Diffusions ⭐ 10

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

Bayesian Cr Workshop ⭐ 10

Material for a workshop on Bayesian analysis of capture-recapture data with hidden Markov models and Nimble

Theonlinemcmc ⭐ 9

The Online MCMC

Bayesian Modeling ⭐ 9

Case studies with Bayesian methods

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Sampled Ancestors ⭐ 8

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

Mcmc Estimation Of Stochastic Differential Equations Papers ⭐ 8

A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)

Autoemcee ⭐ 8

Run MCMC automatically to convergence

Shinybrms ⭐ 7

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Pycbc Inference Paper ⭐ 6

Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,

Manifold_lifting ⭐ 6

Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'

Bnpmix.java ⭐ 6

Bayesian Nonparametric Mixture Models in Java

Probabilistic Programming Packages ⭐ 6

Trying out different probabilistic programming packages on the same statistical model

Turing2montecarlomeasurements.jl ⭐ 5

Interface between Turing.jl and MonteCarloMeasurements.jl

Mortality Statsmodel ⭐ 5

Mortality using bayesian hierarchical modelling

Laplacesdemon ⭐ 5

A complete environment for Bayesian inference within R

Chempymulti ⭐ 5

Multi-Star Bayesian Inference with Chempy: Start with the Tutorial

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant

Maelstrom ⭐ 5

Forward modelling of pulsating stars in binaries

Yet Another Matlab MCMC code

Exchanger ⭐ 5

Bayesian Entity Resolution with Exchangeable Random Partition Priors

Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics

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