The Top 634 Bayesian Inference Open Source Projects on Github

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The Top 634 Bayesian Inference Open Source Projects on Github

Categories > Machine Learning > Bayesian Inference

Numpy Ml ⭐ 11,141

Machine learning, in numpy

Deep universal probabilistic programming with Python and PyTorch

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 ⭐ 1,849

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

Neural Tangents ⭐ 1,618

Fast and Easy Infinite Neural Networks in Python

Turing.jl ⭐ 1,476

Bayesian inference with probabilistic programming.

Infer ⭐ 1,406

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

Causalnex ⭐ 1,358

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

Numpyro ⭐ 1,257

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

Resources ⭐ 1,233

PyMC3 educational resources

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

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

RStan, the R interface to Stan

Pytorch Bayesiancnn ⭐ 757

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

Dsge.jl ⭐ 672

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

Probabilistic_robotics ⭐ 580

solution of exercises of the book "probabilistic robotics"

Bayesian Neural Networks ⭐ 554

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

Dbda Python ⭐ 543

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

Bayesian Stats Modelling Tutorial ⭐ 543

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Awesome Normalizing Flows ⭐ 479

A list of awesome resources on normalizing flows.

Bda_r_demos ⭐ 445

Bayesian Data Analysis demos for R

Soss.jl ⭐ 366

Probabilistic programming via source rewriting

Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse ⭐ 352

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

Bayadera ⭐ 333

High-performance Bayesian Data Analysis on the GPU in Clojure

Variational autoencoders for collaborative filtering

Rstanarm ⭐ 308

rstanarm R package for Bayesian applied regression modeling

Stheno.jl ⭐ 300

Probabilistic Programming with Gaussian processes in Julia

Pyvarinf ⭐ 300

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

Measuretheory.jl ⭐ 283

"Distributions" that might not add to one.

Blackjax ⭐ 246

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

Dynesty ⭐ 240

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Statsexpressions ⭐ 239

Tidy Dataframes and Expressions with Statistical Details 📉 📜🔣✅

Simulation-based inference toolkit

ELFI - Engine for Likelihood-Free Inference

Rethinking Tensorflow Probability ⭐ 207

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Master Thesis Bayesiancnn ⭐ 197

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

Bayesianrecurrentnn ⭐ 196

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Particles ⭐ 193

Sequential Monte Carlo in python

Dynamichmc.jl ⭐ 187

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

Shinystan ⭐ 172

shinystan R package and ShinyStan GUI

Bayesian Evolutionary Analysis by Sampling Trees

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

Exoplanet ⭐ 155

Fast & scalable MCMC for all your exoplanet needs!

Bayesian Coherent Point Drift (BCPD/BCPD++)

Mrbayes ⭐ 149

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:

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

⚡️ zeus: Lightning Fast MCMC ⚡️

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Survival Analysis Using Deep Learning ⭐ 138

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

Bnlearn ⭐ 135

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

Bijectors.jl ⭐ 128

Implementation of normalising flows and constrained random variable transformations

Aboleth ⭐ 125

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

Celeste.jl ⭐ 124

Scalable inference for a generative model of astronomical images

A Bayesian Analysis Toolkit in Julia

Gpstuff ⭐ 120

GPstuff - Gaussian process models for Bayesian analysis

Statrethink_course_in_pymc3 ⭐ 119

Statistical Rethinking course in pymc3

Libcluster ⭐ 119

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

A Nice Mc ⭐ 116

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

Glmm In Python ⭐ 114

Generalized linear mixed-effect model in Python

BOPP: Bayesian Optimization for Probabilistic Programs

The base NIMBLE package for R

Paramonte ⭐ 112

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

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Bayesian_bootstrap ⭐ 107

bayesian bootstrapping in python

Books Making You Better ⭐ 105

A list of classic books make better you understand not only how it works, but why it works.

Pymc3_vs_pystan ⭐ 105

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

Bayesian Torch ⭐ 99

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

A qualitative probabilistic programming language based on ranking theory

Bayesloop ⭐ 96

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

Mxfusion ⭐ 93

Modular Probabilistic Programming on MXNet

Rethinking Pyro ⭐ 90

Statistical Rethinking with PyTorch and Pyro

Bayesian Cognitive Modeling In Pymc3 ⭐ 90

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

Bayesian Earthquake Analysis Tool

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

Pymc Example Project ⭐ 87

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

Projpred ⭐ 87

Projection predictive variable selection

Bayesian dessert for Lasagne

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

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Bridge.jl ⭐ 77

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

Temporalgps.jl ⭐ 72

Fast inference for Gaussian processes in problems involving time

Implementation of Markov Chain Monte Carlo in Python from scratch

Autoencoders_tensorflow ⭐ 65

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Paper Reading ⭐ 64

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

Deep Learning over PyTorch

Bayesian Stats Talk ⭐ 59

Doing Bayesian statistics in Python!

Parbayesianoptimization ⭐ 58

Parallelizable Bayesian Optimization in R

Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.

Code for Bayesian Analysis

Density estimation likelihood-free inference

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

Noisynaturalgradient ⭐ 56

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"

A library of scalable Bayesian generalised linear models with fancy features

Geophysical Bayesian Inference in Python. Docs:

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Zigzagboomerang.jl ⭐ 52

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

1-100 of 634 projects

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Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

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