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The Top 854 Bayesian Inference Open Source Projects

Categories > Machine Learning > Bayesian Inference
Probabilistic Programming And Bayesian Methods For Hackers ⭐ 24,953
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 ;)
most recent commit a month ago
Numpy Ml ⭐ 11,141
Machine learning, in numpy
total releases 3most recent commit a year ago
Pyro ⭐ 7,685
Deep universal probabilistic programming with Python and PyTorch
dependent packages 42total releases 30most recent commit 8 days agopypi pyro-ppl} Downloads
Pymc ⭐ 7,163
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
dependent packages 95total releases 36most recent commit 13 hours agopypi pymc3} Downloads
Stan ⭐ 2,338
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.
most recent commit 2 days ago
Zhusuan ⭐ 2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
most recent commit 2 months ago
Neural Tangents ⭐ 1,895
Fast and Easy Infinite Neural Networks in Python
dependent packages 1total releases 27most recent commit 3 days agopypi neural-tangents} Downloads
Causalnex ⭐ 1,706
A Python library that helps data scientists to infer causation rather than observing correlation.
dependent packages 2total releases 16most recent commit 16 days agopypi causalnex} Downloads
Turing.jl ⭐ 1,696
Bayesian inference with probabilistic programming.
most recent commit 3 days ago
Numpyro ⭐ 1,588
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
dependent packages 27total releases 19most recent commit 12 hours agopypi numpyro} Downloads
Pymc Resources ⭐ 1,588
PyMC educational resources
most recent commit 4 days ago
Infer ⭐ 1,469
Infer.NET is a framework for running Bayesian inference in graphical models
dependent packages 4total releases 4most recent commit 7 days agonuget Microsoft.ML.Probabilistic} Downloads
Brms ⭐ 1,060
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
dependent packages 40total releases 54most recent commit 18 hours ago
Rstan ⭐ 899
RStan, the R interface to Stan
most recent commit 9 days ago
Bambi ⭐ 853
BAyesian Model-Building Interface (Bambi) in Python.
total releases 21most recent commit 7 days ago
Bda_py_demos ⭐ 851
Bayesian Data Analysis demos for Python
most recent commit a year ago
Awesome Normalizing Flows ⭐ 789
Awesome resources on normalizing flows.
most recent commit 3 days ago
Dsge.jl ⭐ 771
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
most recent commit 9 days ago
Pytorch Bayesiancnn ⭐ 757
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
most recent commit 2 years ago
Bayespy ⭐ 657
Bayesian Python: Bayesian inference tools for Python
total releases 5most recent commit 2 months ago
Bayesian Stats Modelling Tutorial ⭐ 601
How to do Bayesian statistical modelling using numpy and PyMC3
most recent commit 5 months ago
Probabilistic_robotics ⭐ 580
solution of exercises of the book "probabilistic robotics"
most recent commit 2 years ago
Bayesian Neural Networks ⭐ 554
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
most recent commit 3 years ago
Bayesian_changepoint_detection ⭐ 547
Methods to get the probability of a changepoint in a time series.
dependent packages 1total releases 1most recent commit a month agopypi bayesian-changepoint-detection} Downloads
Dbda Python ⭐ 543
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
most recent commit a year ago
Bayesian Analysis Recipes ⭐ 510
A collection of Bayesian data analysis recipes using PyMC3
most recent commit a year ago
Bda_r_demos ⭐ 504
Bayesian Data Analysis demos for R
most recent commit 4 days ago
Blackjax ⭐ 439
BlackJAX is a sampling library designed for ease of use, speed and modularity.
most recent commit 4 days ago
Rainier ⭐ 418
Bayesian inference in Scala.
dependent packages 5total releases 8most recent commit a year ago
Soss.jl ⭐ 392
Probabilistic programming via source rewriting
most recent commit 4 months ago
Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse ⭐ 371
The bookdown version lives here: https://bookdown.org/content/3890
most recent commit 5 months ago
Monad Bayes ⭐ 355
A library for probabilistic programming in Haskell.
most recent commit 16 hours ago
Measuretheory.jl ⭐ 354
"Distributions" that might not add to one.
most recent commit a month ago
Sbi ⭐ 348
Simulation-based inference toolkit
dependent packages 2total releases 35most recent commit 9 days agopypi sbi} Downloads
Rstanarm ⭐ 323
rstanarm R package for Bayesian applied regression modeling
most recent commit 4 months ago
Stheno.jl ⭐ 317
Probabilistic Programming with Gaussian processes in Julia
most recent commit 6 months ago
Vae_cf ⭐ 309
Variational autoencoders for collaborative filtering
most recent commit 5 years ago
Pyvarinf ⭐ 300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
total releases 2most recent commit 3 years ago
Dynesty ⭐ 290
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
dependent packages 24total releases 18most recent commit 12 hours agopypi dynesty} Downloads
Statsexpressions ⭐ 278
Tidy Dataframes and Expressions with Statistical Details 📜🔣
dependent packages 2total releases 22most recent commit 2 days ago
Particles ⭐ 257
Sequential Monte Carlo in python
total releases 3most recent commit 23 days ago
Elfi ⭐ 240
ELFI - Engine for Likelihood-Free Inference
total releases 6most recent commit 11 hours ago
Bnlearn ⭐ 236
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dependent packages 1total releases 55most recent commit 11 hours agopypi bnlearn} Downloads
Dynamichmc.jl ⭐ 217
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
most recent commit 16 days ago
Rethinking Tensorflow Probability ⭐ 207
Statistical Rethinking (2nd Ed) with Tensorflow Probability
most recent commit 10 months ago
Beast2 ⭐ 201
Bayesian Evolutionary Analysis by Sampling Trees
most recent commit 2 days ago
Master Thesis Bayesiancnn ⭐ 197
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
most recent commit 3 years ago
Probabilistic Models ⭐ 196
Collection of probabilistic models and inference algorithms
most recent commit 3 years ago
Bayesianrecurrentnn ⭐ 196
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
most recent commit 4 years ago
Bcpd ⭐ 195
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
most recent commit a month ago
Gpjax ⭐ 182
A didactic Gaussian process package for researchers in Jax.
most recent commit 2 days ago
Shinystan ⭐ 181
shinystan R package and ShinyStan GUI
dependent packages 17total releases 9most recent commit 4 months ago
Zeus ⭐ 177
⚡️ zeus: Lightning Fast MCMC ⚡️
dependent packages 4total releases 20most recent commit 9 months agopypi zeus-mcmc} Downloads
Exoplanet ⭐ 174
Fast & scalable MCMC for all your exoplanet needs!
dependent packages 15total releases 32most recent commit a month agopypi exoplanet} Downloads
Vbmc ⭐ 171
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
most recent commit a month ago
Vbmc ⭐ 171
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
most recent commit a month ago
Tapas ⭐ 169
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
most recent commit a month ago
Pclean ⭐ 167
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
most recent commit 6 months ago
Pymultinest ⭐ 162
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
dependent packages 8total releases 20most recent commit 2 months agopypi pymultinest} Downloads
Mrbayes ⭐ 162
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:
most recent commit 8 months ago
Cmdstan ⭐ 160
CmdStan, the command line interface to Stan
total releases 8most recent commit 9 days ago
Probabilistic Backpropagation ⭐ 159
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
most recent commit 4 years ago
Bat.jl ⭐ 158
A Bayesian Analysis Toolkit in Julia
most recent commit 3 days ago
Indaba Pracs 2022 ⭐ 151
Notebooks for the Practicals at the Deep Learning Indaba 2022.
most recent commit a month ago
Bijectors.jl ⭐ 141
Implementation of normalising flows and constrained random variable transformations
most recent commit 3 days ago
Pyhawkes ⭐ 139
Python framework for inference in Hawkes processes.
total releases 3most recent commit 3 years ago
Survival Analysis Using Deep Learning ⭐ 138
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
most recent commit 2 years ago
Nimble ⭐ 127
The base NIMBLE package for R
most recent commit 15 days ago
Aboleth ⭐ 125
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
total releases 10most recent commit 4 years ago
Celeste.jl ⭐ 124
Scalable inference for a generative model of astronomical images
most recent commit 3 years ago
Posteriordb ⭐ 122
Database with posteriors of interest for Bayesian inference
total releases 2most recent commit a month ago
Books Making You Better ⭐ 121
A list of time-lasting classic books, which could not only help you figure out how it works, but also grasp when it works and why it works in that way.
most recent commit 6 months ago
Gpstuff ⭐ 120
GPstuff - Gaussian process models for Bayesian analysis
most recent commit a year ago
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.
most recent commit 5 years ago
Statrethink_course_in_pymc3 ⭐ 119
Statistical Rethinking course in pymc3
most recent commit 3 years ago
A Nice Mc ⭐ 116
Code for "A-NICE-MC: Adversarial Training for MCMC"
most recent commit 4 years ago
Glmm In Python ⭐ 114
Generalized linear mixed-effect model in Python
most recent commit 4 years ago
Bayesian Torch ⭐ 114
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
total releases 2most recent commit 9 months ago
Bopp ⭐ 113
BOPP: Bayesian Optimization for Probabilistic Programs
total releases 7most recent commit 5 years ago
Paramonte ⭐ 112
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
total releases 38most recent commit a year ago
Bayesloop ⭐ 111
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
most recent commit 3 months ago
Looper ⭐ 110
A resource list for causality in statistics, data science and physics
most recent commit 9 days ago
Bayesian_bootstrap ⭐ 110
bayesian bootstrapping in python
most recent commit 9 months ago
Diffeqbayes.jl ⭐ 110
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
most recent commit 22 days ago
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
total releases 12most recent commit a year ago
Pymc3_vs_pystan ⭐ 105
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation video: https://www.youtube.com/watch?v=Jb9eklfbDyg
most recent commit 7 years ago
Beat ⭐ 105
Bayesian Earthquake Analysis Tool
most recent commit 21 hours ago
Ggmcmc ⭐ 101
Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
most recent commit 8 months ago
Projpred ⭐ 100
Projection predictive variable selection
dependent packages 2total releases 15most recent commit 5 days ago
Awesome Bayes ⭐ 98
List of resources for bayesian inference
most recent commit 3 years ago
Bayesian Coresets ⭐ 96
Automated Scalable Bayesian Inference
most recent commit 2 years ago
Mxfusion ⭐ 93
Modular Probabilistic Programming on MXNet
total releases 7most recent commit 3 years ago
Bayesian Cognitive Modeling In Pymc3 ⭐ 90
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
most recent commit 5 years ago
Rethinking Pyro ⭐ 90
Statistical Rethinking with PyTorch and Pyro
most recent commit 3 years ago
Dcsam ⭐ 89
Factored inference for discrete-continuous smoothing and mapping.
most recent commit 7 days ago
Parbayesianoptimization ⭐ 88
Parallelizable Bayesian Optimization in R
total releases 5most recent commit a month ago
Birch ⭐ 88
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
most recent commit a month ago
Pymc Example Project ⭐ 87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
most recent commit 4 years ago
Rexamples ⭐ 85
worked R examples
most recent commit 2 months ago
Gelato ⭐ 85
Bayesian dessert for Lasagne
most recent commit 5 years ago
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