The Top 90 Bayesian Inference Open Source Projects

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Advertising 📦 10

Application Programming Interfaces 📦 124

Applications 📦 192

Artificial Intelligence 📦 78

Blockchain 📦 73

Build Tools 📦 113

Cloud Computing 📦 80

Code Quality 📦 28

Collaboration 📦 32

Command Line Interface 📦 49

Community 📦 83

Companies 📦 60

Compilers 📦 63

Computer Science 📦 80

Configuration Management 📦 42

Content Management 📦 175

Control Flow 📦 213

Data Formats 📦 78

Data Processing 📦 276

Data Storage 📦 135

Economics 📦 64

Frameworks 📦 215

Graphics 📦 110

Hardware 📦 152

Integrated Development Environments 📦 49

Learning Resources 📦 166

Libraries 📦 129

Lists Of Projects 📦 22

Machine Learning 📦 347

Mapping 📦 64

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 98

Networking 📦 315

Operating Systems 📦 89

Operations 📦 121

Package Managers 📦 55

Programming Languages 📦 245

Runtime Environments 📦 100

Science 📦 42

Security 📦 396

Social Media 📦 27

Software Architecture 📦 72

Software Development 📦 72

Software Performance 📦 58

Software Quality 📦 133

Text Editors 📦 49

Text Processing 📦 136

User Interface 📦 330

User Interface Components 📦 514

Version Control 📦 30

Virtualization 📦 71

Web Browsers 📦 42

Web Servers 📦 26

Web User Interface 📦 210

The Top 90 Bayesian Inference Open Source Projects

Categories > Machine Learning > Bayesian Inference

Numpy Ml ⭐ 10,170

Machine learning, in numpy

Deep universal probabilistic programming with Python and PyTorch

Pymc3 ⭐ 5,922

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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.

Zhusuan ⭐ 2,060

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

Neural Tangents ⭐ 1,498

Fast and Easy Infinite Neural Networks in Python

Infer ⭐ 1,374

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

Turing.jl ⭐ 1,292

Bayesian inference with probabilistic programming.

Causalnex ⭐ 1,191

A Python library that helps data scientists to infer causation rather than observing correlation.

Numpyro ⭐ 1,076

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

Resources ⭐ 1,052

PyMC3 educational resources

Bayesian Neural Networks ⭐ 1,038

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

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

Pytorch Bayesiancnn ⭐ 874

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

Bda_py_demos ⭐ 817

Bayesian Data Analysis demos for Python

RStan, the R interface to Stan

Resources to learn more about Machine Learning and Artificial Intelligence

Probabilistic_robotics ⭐ 781

solution of exercises of the book "probabilistic robotics"

Dsge.jl ⭐ 650

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Bayesian Stats Modelling Tutorial ⭐ 542

How to do Bayesian statistical modelling using numpy and PyMC3

Dbda Python ⭐ 540

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

Bayesian Analysis Recipes ⭐ 496

A collection of Bayesian data analysis recipes using PyMC3

Bda_r_demos ⭐ 439

Bayesian Data Analysis demos for R

Variational autoencoders for collaborative filtering

Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse ⭐ 360

The bookdown version lives here: https://bookdown.org/content/3890

Bayadera ⭐ 343

High-performance Bayesian Data Analysis on the GPU in Clojure

Pyvarinf ⭐ 326

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

Soss.jl ⭐ 302

Probabilistic programming via source rewriting

Rstanarm ⭐ 298

rstanarm R package for Bayesian applied regression modeling

Stheno.jl ⭐ 267

Probabilistic Programming with Gaussian processes in Julia

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Dynesty ⭐ 230

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Master Thesis Bayesiancnn ⭐ 228

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Probabilistic Models ⭐ 224

Collection of probabilistic models and inference algorithms

ELFI - Engine for Likelihood-Free Inference

Bayesianrecurrentnn ⭐ 203

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Statsexpressions ⭐ 203

Tidy Dataframes and Expressions with Statistical Details 📉 📜🔣✅

Simulation-based inference in PyTorch

Rethinking Tensorflow Probability ⭐ 180

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Shinystan ⭐ 175

shinystan R package and ShinyStan GUI

Dynamichmc.jl ⭐ 175

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

Particles ⭐ 167

Sequential Monte Carlo in python

Bayesian Evolutionary Analysis by Sampling Trees

Celeste.jl ⭐ 154

Scalable inference for a generative model of astronomical images

Survival Analysis Using Deep Learning ⭐ 147

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Mrbayes ⭐ 141

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:

Glmm In Python ⭐ 140

Generalized linear mixed-effect model in Python

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

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Blackjax ⭐ 137

BlackJAX is a sampling library designed for ease of use, speed and modularity.

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Exoplanet ⭐ 136

Fast & scalable MCMC for all your exoplanet needs!

Libcluster ⭐ 132

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Rethinking Pyro ⭐ 129

Statistical Rethinking with PyTorch and Pyro

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

Aboleth ⭐ 125

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Pymc3_vs_pystan ⭐ 116

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

A Nice Mc ⭐ 116

Code for "A-NICE-MC: Adversarial Training for MCMC"

Gpstuff ⭐ 115

GPstuff - Gaussian process models for Bayesian analysis

BOPP: Bayesian Optimization for Probabilistic Programs

Paramonte ⭐ 113

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

Probflow ⭐ 112

A Python package for building Bayesian models with TensorFlow or PyTorch

Bijectors.jl ⭐ 111

Implementation of normalising flows and constrained random variable transformations

A Bayesian Analysis Toolkit in Julia

The base NIMBLE package for R

This project has moved to https://git.dynare.org/Dynare/dynare

A qualitative probabilistic programming language based on ranking theory

Bayesian_cnn ⭐ 98

Bayes by Backprop implemented in a CNN in PyTorch

Mxfusion ⭐ 98

Modular Probabilistic Programming on MXNet

Bayesian Cognitive Modeling In Pymc3 ⭐ 93

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Bayesloop ⭐ 91

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Pymc Example Project ⭐ 90

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Pumas.jl ⭐ 84

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Projpred ⭐ 83

Projection predictive variable selection

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Paper Reading ⭐ 69

Bayestyper ⭐ 65

A method for variant graph genotyping based on exact alignment of k-mers

Deep Learning over PyTorch

Diffusive Nested Sampling

A resource list for causality in statistics, data science and physics

Hmm_for_autonomous_driving ⭐ 43

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

Distributed Bayesian Entity Resolution in Apache Spark

C++ template library for probabilistic programming

Ipynotebook_machinelearning ⭐ 27

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Pycurious ⭐ 25

Python package for computing the Curie depth from the magnetic anomaly

Scikit Stan ⭐ 24

A high-level Bayesian analysis API written in Python

Rhat_ess ⭐ 20

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

Ggdistribute ⭐ 17

ggplot2 extension for plotting distributions

Bayesflare ⭐ 6

A python module to detect stellar flares using Bayesian model comparison

1-90 of 90 projects

Advertising 📦 10

Application Programming Interfaces 📦 124

Applications 📦 192

Artificial Intelligence 📦 78

Blockchain 📦 73

Build Tools 📦 113

Cloud Computing 📦 80

Code Quality 📦 28

Collaboration 📦 32

Command Line Interface 📦 49

Community 📦 83

Companies 📦 60

Compilers 📦 63

Computer Science 📦 80

Configuration Management 📦 42

Content Management 📦 175

Control Flow 📦 213

Data Formats 📦 78

Data Processing 📦 276

Data Storage 📦 135

Economics 📦 64

Frameworks 📦 215

Graphics 📦 110

Hardware 📦 152

Integrated Development Environments 📦 49

Learning Resources 📦 166

Libraries 📦 129

Lists Of Projects 📦 22

Machine Learning 📦 347

Mapping 📦 64

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 98

Networking 📦 315

Operating Systems 📦 89

Operations 📦 121

Package Managers 📦 55

Programming Languages 📦 245

Runtime Environments 📦 100

Science 📦 42

Security 📦 396

Social Media 📦 27

Software Architecture 📦 72

Software Development 📦 72

Software Performance 📦 58

Software Quality 📦 133

Text Editors 📦 49

Text Processing 📦 136

User Interface 📦 330

User Interface Components 📦 514

Version Control 📦 30

Virtualization 📦 71

Web Browsers 📦 42

Web Servers 📦 26

Web User Interface 📦 210