Bayesian Inference Frameworks

Libraries, algorithms, and educational resources for Bayesian statistical inference, posterior estimation, and model comparison. Includes variational inference, MCMC methods, and Bayesian deep learning. Does NOT include general probabilistic programming languages, frequentist statistics, or domain-specific applications (genetics, trading, etc.) unless they primarily demonstrate Bayesian methodology.

There are 76 bayesian inference frameworks tracked. 2 score above 70 (verified tier). The highest-rated is pyro-ppl/pyro at 73/100 with 8,989 stars and 1,262,278 monthly downloads. 2 of the top 10 are actively maintained.

Get all 76 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=bayesian-inference-frameworks&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

#	Framework	Score	Tier	Stars	Language
1	pyro-ppl/pyro Deep universal probabilistic programming with Python and PyTorch	73	Verified	8,989	Python
2	erdogant/bnlearn Python package for Causal Discovery by learning the graphical structure of...	72	Verified	612	Jupyter Notebook
3	tensorflow/probability Probabilistic reasoning and statistical analysis in TensorFlow	64	Established	4,417	Jupyter Notebook
4	astro-informatics/harmonic Machine learning assisted marginal likelihood (Bayesian evidence) estimation...	61	Established	77	Jupyter Notebook
5	probml/pyprobml Python code for "Probabilistic Machine learning" book by Kevin Murphy	61	Established	7,034	Jupyter Notebook
6	cdslaborg/paramonte ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python,...	58	Established	302	Fortran
7	google/edward2 A simple probabilistic programming language.	57	Established	709	Jupyter Notebook
8	probabilistic-numerics/probnum Probabilistic Numerics in Python.	54	Established	459	Python
9	mohd-faizy/Probabilistic-Deep-Learning-with-TensorFlow Probabilistic Deep Learning finds its application in autonomous vehicles and...	52	Established	73	Jupyter Notebook
10	liesel-devs/liesel A probabilistic programming framework	52	Established	45	Python
11	AI-sandbox/ADAMIXTURE Fast population clustering with Adam-EM Optimization.	50	Established	17	Python
12	jmschrei/pomegranate Fast, flexible and easy to use probabilistic modelling in Python.	49	Emerging	3,512	Python
13	blei-lab/edward A probabilistic programming language in TensorFlow. Deep generative models,...	49	Emerging	4,843	Jupyter Notebook
14	robinthibaut/skbel SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.	45	Emerging	26	Python
15	stan-dev/pystan2 PyStan, the Python interface to Stan	44	Emerging	928	Python
16	wiseodd/MCMC Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC)...	44	Emerging	390	Python
17	krasserm/bayesian-machine-learning Notebooks about Bayesian methods for machine learning	44	Emerging	1,911	Jupyter Notebook
18	AmazaspShumik/sklearn-bayes Python package for Bayesian Machine Learning with scikit-learn API	43	Emerging	523	Jupyter Notebook
19	acerbilab/pyvbmc PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model...	43	Emerging	124	Python
20	thu-ml/zhusuan A probabilistic programming library for Bayesian deep learning, generative...	43	Emerging	2,220	Python
21	minaskar/pocomc pocoMC: A Python implementation of Preconditioned Monte Carlo for...	42	Emerging	120	Python
22	Joseph94m/MCMC Implementation of Markov Chain Monte Carlo in Python from scratch	42	Emerging	226	Jupyter Notebook
23	JavierAntoran/Bayesian-Neural-Networks Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local...	42	Emerging	1,960	Jupyter Notebook
24	yell/boltzmann-machines Boltzmann Machines in TensorFlow with examples	42	Emerging	852	Jupyter Notebook
25	dotnet/mbmlbook Sample code for the Model-Based Machine Learning book.	42	Emerging	299	C#
26	ericmjl/bayesian-deep-learning-demystified In which I try to demystify the fundamental concepts behind Bayesian deep learning.	40	Emerging	122	CSS
27	acerbilab/vbmc Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model...	39	Emerging	233	MATLAB
28	inferno-ml/inferno Bayesian Deep Learning in PyTorch	39	Emerging	9	Python
29	PySloth/pysloth A Python Package for Probabilistic Prediction	38	Emerging	22	Jupyter Notebook
30	altdeep/probmodeler A open source repository supporting the Probabilistic Modeler in Three...	37	Emerging	11	Jupyter Notebook
31	pierrePalud/beetroots Beetroots (BayEsian invErsion with spaTial Regularization of nOisy...	37	Emerging	12	Python
32	bayesgroup/deepbayes-2018 Seminars DeepBayes Summer School 2018	36	Emerging	1,046	Jupyter Notebook
33	js05212/BayesianDeepLearning-Survey Bayesian Deep Learning: A Survey	35	Emerging	519	—
34	google/bayesnf Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets	35	Emerging	149	Python
35	kyle-dorman/bayesian-neural-network-blogpost Building a Bayesian deep learning classifier	35	Emerging	491	Jupyter Notebook
36	sjchoi86/bayes-nn Lecture notes on Bayesian deep learning	35	Emerging	489	—
37	wbasener/BayesianML This is a GitHub repository for our Bayeisan Machine Learning textbook,...	34	Emerging	24	Jupyter Notebook
38	differential-machine-learning/notebooks Implement, demonstrate, reproduce and extend the results of the Risk...	33	Emerging	147	Jupyter Notebook
39	gerdm/bayes Neat Bayesian machine learning examples	33	Emerging	58	Jupyter Notebook
40	lucadellalib/bayestorch Lightweight Bayesian deep learning library for fast prototyping based on PyTorch	33	Emerging	14	Python
41	clinicalml/dmm Deep Markov Models	32	Emerging	132	Jupyter Notebook
42	florent-leclercq/Bayes_InfoTheory Lectures on Bayesian statistics and information theory	32	Emerging	32	Jupyter Notebook
43	bayesml/BayesML BayesML: your first library for Bayesian machine learning	30	Emerging	20	Python
44	bodywork-ml/bodywork-pymc3-project Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork	30	Emerging	14	Jupyter Notebook
45	probsys/hierarchical-irm Probabilistic structure discovery for rich relational systems	29	Experimental	14	C++
46	SilvioBaratto/stockpy Deep Learning Regression and Classification Library built on top of PyTorch and Pyro	28	Experimental	16	Python
47	thuwzy/ZhuSuan-PyTorch An Elegant Library for Bayesian Deep Learning in PyTorch	28	Experimental	27	Python
48	draktr/monte-library Monte is a set of Monte Carlo methods in Python. The package is written to...	28	Experimental	5	Python
49	AlexIoannides/pymc-example-project Example PyMC3 project for performing Bayesian data analysis using a...	28	Experimental	105	Jupyter Notebook
50	Sanaelotfi/Bayesian_model_comparison Supporing code for the paper "Bayesian Model Selection, the Marginal...	27	Experimental	36	Jupyter Notebook
51	dalmia/Bayesian_Decision_Making-Datagiri_Mumbai Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri	27	Experimental	3	Jupyter Notebook
52	sleglaive/BayesianML Bayesian methods for machine learning course at CentraleSupélec	26	Experimental	8	Jupyter Notebook
53	probabilistic-numerics/probnum-gsoc2022 Information and materials for Google Summer of Code participants developing...	26	Experimental	7	—
54	haihabi/Learned-BCRB This repository contains a python package that computes the Learned Bayesian...	24	Experimental	4	Python
55	desy-ml/cheetah-demos Demos of Cheetah being used for various applications presented in "Cheetah:...	24	Experimental	7	Jupyter Notebook
56	fless-lab/rsi-togo-fiscal Bayesian framework for zero-shot compliance monitoring in rule-governed...	23	Experimental	1	Jupyter Notebook
57	Hundredor/python-bayesian-network-inference 🧠 Implement Bayesian network inference in Python with exact and approximate...	23	Experimental	1	Python
58	Rapfff/jajapy Baum-Welch for all kind of Markov models	22	Experimental	23	Python
59	virbahu/monte-carlo-sc-network Monte Carlo simulation SC network robustness	22	Experimental	—	Python
60	vishal-labade/bayesian_models A modular Bayesian inference platform built from scratch using NumPy,...	22	Experimental	—	Python
61	mikeroyal/Bayesian-Statistics-Guide Bayesian Statistics Guide	22	Experimental	17	MATLAB
62	aljaca/MST.PMDN MST.PMDN: 'torch for R' package implementing the deep Multivariate Skew...	21	Experimental	2	R
63	Saba-Kublashvili/bayesian-computational-modeling A popular Neuro-Symbolic framework combining Causal Inference, Game Theory,...	21	Experimental	2	Python
64	navreeetkaur/bayesian-network-learning Learning Bayesian Network parameters using Expectation-Maximisation	20	Experimental	11	Python
65	thu-ml/Zhusuan-Jittor Zhusuan with backend Jittor	20	Experimental	15	Python
66	hal-lab-u-tokyo/OpenBNSL OpenBNSL is a unified framework for fair, reproducible, and transparent...	19	Experimental	5	C++
67	konstantinos-p/Bayesian-Neural-Networks-Reading-List A primer on Bayesian Neural Networks. The aim of this reading list is to...	18	Experimental	59	—
68	Kucharssim/bayesflow-amortized-mixtures Amortized Bayesian Mixture Models	15	Experimental	1	Jupyter Notebook
69	SaiSampathKedari/MonteCarlo-Statistical-Methods A visual, hands-on introduction to Monte Carlo methods with clean...	14	Experimental	3	Jupyter Notebook
70	damn8daniel/em-algorithm EM Algorithm from scratch. GMM, HMM (Baum-Welch), Mixture of Factor...	14	Experimental	—	Python
71	llfung/ODR-BINDy Model discovery based on Bayesian Evidence (a.k.a. marginal likelihood) and...	13	Experimental	2	MATLAB
72	erstre/loopy_belief_propagation Matlab implementation of Loopy Belief Propagation algorithm for...	12	Experimental	3	MATLAB
73	juandavm/em4gmm Extremely fast C implementation of the clustering Expectation Maximization...	12	Experimental	3	C
74	arneschreuder/masters Training Feedforward Neural Networks with Bayesian Hyper-Heuristics	12	Experimental	4	Jupyter Notebook
75	aaron1rcl/metropolis_hastings_from_scratch MCMC Metropolis Hastings and Bayesian Regression from Scratch	12	Experimental	14	Jupyter Notebook
76	khanfs/ComplexSystemsModelling-Bayesian Complex Systems Modelling	11	Experimental	—	R

Comparisons in this category

edward2 and edward (57 vs 49) probability and Probabilistic-Deep-Learning-with-TensorFlow (64 vs 52)