Projects in Awesome Lists tagged with probabilistic-programming

https://github.com/pymc-devs/pymc

Bayesian Modeling and Probabilistic Programming in Python

bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference

Last synced: 11 Dec 2025

https://github.com/pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

bayesian bayesian-inference deep-learning machine-learning probabilistic-modeling probabilistic-programming python pytorch variational-inference

Last synced: 12 May 2025

https://github.com/mxgmn/markovjunior

Probabilistic language based on pattern matching and constraint propagation, 153 examples

algorithms cellular-automata csharp gamedev language markovjunior probabilistic-programming procedural-generation voxel

Last synced: 13 May 2025

https://github.com/mxgmn/MarkovJunior

Probabilistic language based on pattern matching and constraint propagation, 153 examples

algorithms cellular-automata csharp gamedev language markovjunior probabilistic-programming procedural-generation voxel

Last synced: 26 Mar 2025

https://github.com/probml/pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

blackjax colab flax jax jupyter-notebooks machine-learning numpyro pml probabilistic-programming pymc3 pyro pytorch tensorflow

Last synced: 12 May 2025

https://github.com/blei-lab/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 14 May 2025

https://github.com/tensorflow/probability

Probabilistic reasoning and statistical analysis in TensorFlow

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 12 May 2025

https://github.com/pyro-ppl/numpyro

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

bayesian-inference hmc inference-algorithms jax mcmc numpy probabilistic-programming pyro

Last synced: 14 May 2025

https://github.com/thu-ml/zhusuan

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

bayesian-inference deep-learning generative-models graphical-models probabilistic-programming

Last synced: 15 May 2025

https://github.com/turinglang/turing.jl

Bayesian inference with probabilistic programming.

artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing

Last synced: 26 Jan 2026

https://github.com/TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing

Last synced: 15 Mar 2025

https://github.com/uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series

Last synced: 09 Apr 2025

https://github.com/probcomp/gen.jl

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 05 Oct 2025

https://probcomp.github.io/Gen

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 19 Jul 2025

https://github.com/probcomp/Gen.jl

A general-purpose probabilistic programming system with programmable inference

bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics

Last synced: 15 Mar 2025

https://github.com/tylertreat/BoomFilters

Probabilistic data structures for processing continuous, unbounded streams.

bloom-filter count-min-sketch counting-bloom-filters cuckoo-filter data-stream filter go probabilistic-programming scalable-bloom-filters stable-bloom-filters

Last synced: 14 Mar 2025

https://github.com/tylertreat/boomfilters

Probabilistic data structures for processing continuous, unbounded streams.

bloom-filter count-min-sketch counting-bloom-filters cuckoo-filter data-stream filter go probabilistic-programming scalable-bloom-filters stable-bloom-filters

Last synced: 14 May 2025

https://github.com/google/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 14 May 2025

https://github.com/probcomp/bayeslite

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

automatic-data-modeling data-science databases machine-learning probabilistic-programming

Last synced: 18 Dec 2025

https://github.com/stan-dev/pystan2

PyStan, the Python interface to Stan

machine-learning probabilistic-programming python stan statistics

Last synced: 01 May 2025

https://github.com/brylevkirill/notes

Learn about Machine Learning and Artificial Intelligence

artificial-intelligence bayesian-inference causal-inference deep-learning information-retrieval knowledge-graph knowledge-representation machine-learning natural-language-processing probabilistic-programming question-answering reasoning recommender-systems reinforcement-learning

Last synced: 27 Mar 2025

https://github.com/blackjax-devs/blackjax

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

bayesian-inference hamiltonian-monte-carlo probabilistic-programming sampling-methods

Last synced: 21 Oct 2025

https://github.com/cosmicmind/algorithm

Algorithm is a library of tools that is used to create intelligent applications.

algorithm algorithms conditional-probability cosmicmind data-structure data-structures data-structures-algorithms dictionary doublylinkedlist multidictionary multiset probabilistic-programming probability redblacktree redblacktrees set sorted-sets stack swift swift-3

Last synced: 04 Apr 2025

https://github.com/CosmicMind/Algorithm

Algorithm is a library of tools that is used to create intelligent applications.

algorithm algorithms conditional-probability cosmicmind data-structure data-structures data-structures-algorithms dictionary doublylinkedlist multidictionary multiset probabilistic-programming probability redblacktree redblacktrees set sorted-sets stack swift swift-3

Last synced: 06 Aug 2025

https://github.com/google/edward2

A simple probabilistic programming language.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 05 Sep 2025

https://github.com/JWarmenhoven/DBDA-python

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

bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3

Last synced: 14 Mar 2025

https://github.com/jwarmenhoven/dbda-python

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

bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3

Last synced: 04 Apr 2025

https://github.com/probmods/webppl

Probabilistic programming for the web

javascript probabilistic-programming webppl

Last synced: 30 Dec 2025

https://github.com/JaxGaussianProcesses/GPJax

Gaussian processes in JAX and Flax.

bayesian-inference gaussian-processes jax machine-learning probabilistic-programming

Last synced: 01 May 2025

https://github.com/mindsdb/lightwood

Lightwood is Legos for Machine Learning.

automl encoders hacktoberfest machine-learning mindsdb ml neural-networks probabilistic-programming pytorch

Last synced: 24 Oct 2025

https://github.com/cscherrer/soss.jl

Probabilistic programming via source rewriting

bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming

Last synced: 04 Apr 2025

https://github.com/cscherrer/Soss.jl

Probabilistic programming via source rewriting

bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming

Last synced: 04 May 2025

https://github.com/JuliaMath/MeasureTheory.jl

"Distributions" that might not add to one.

bayesian-inference julia machine-learning probabilistic-programming probability statistics

Last synced: 29 Mar 2025

https://github.com/storopoli/Bayesian-Statistics

Bayesian statistics graduate course

bayesian bayesian-statistics course julia probabilistic-programming probability stan turing

Last synced: 09 Oct 2025

https://github.com/juliagaussianprocesses/stheno.jl

Probabilistic Programming with Gaussian processes in Julia

approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming

Last synced: 12 Oct 2025

https://github.com/JuliaGaussianProcesses/Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming

Last synced: 04 May 2025

https://github.com/storopoli/bayesian-statistics

Bayesian statistics graduate course

bayesian bayesian-statistics course julia probabilistic-programming probability stan turing

Last synced: 26 Jan 2026

https://github.com/ML-KULeuven/problog

ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.

aproblog dtproblog lfi-problog probabilistic probabilistic-inference probabilistic-logic-programming probabilistic-programming problog prolog

Last synced: 29 Mar 2025

https://github.com/rlouf/mcx

Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.

probabilistic-programming

Last synced: 05 Apr 2025

https://github.com/probmods/probmods2

probmods 2: electric boogaloo

cognitive-science probabilistic-programming tutorial webppl

Last synced: 14 Mar 2025

https://github.com/dotnet/mbmlbook

Sample code for the Model-Based Machine Learning book.

machine-learning probabilistic-graphical-models probabilistic-models probabilistic-programming

Last synced: 07 Apr 2025

https://github.com/hexops/fastfilter

fastfilter: Binary fuse & xor filters for Zig (faster and smaller than bloom filters)

bloom-filter probabilistic-programming xor-filter zig ziglang

Last synced: 16 May 2025

https://github.com/juliagaussianprocesses/abstractgps.jl

Abstract types and methods for Gaussian Processes.

gaussian-processes gps julia probabilistic-programming

Last synced: 15 May 2025

https://github.com/ctongfei/nexus

Experimental tensor-typed deep learning

deep-learning differentiable-programming neural-network probabilistic-programming scala tensor

Last synced: 09 May 2025

https://github.com/jax-ml/oryx

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

jax probabilistic-programming python

Last synced: 12 Apr 2025

https://github.com/pyro-ppl/funsor

Functional tensors for probabilistic programming

jax machine-learning numpy probabilistic-programming pyro pytorch symbolic

Last synced: 04 Apr 2025

https://github.com/turinglang/docs

Documentation and tutorials for the Turing language

hacktoberfest julia machine-learning probabilistic-programming turing-language

Last synced: 16 May 2025

https://github.com/TuringLang/docs

Documentation and tutorials for the Turing language

hacktoberfest julia machine-learning probabilistic-programming turing-language

Last synced: 10 Jul 2025

https://github.com/probcomp/pclean

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

bayesian-inference data-cleaning data-cleansing probabilistic-graphical-models probabilistic-programming

Last synced: 08 May 2025

https://github.com/probcomp/PClean

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

bayesian-inference data-cleaning data-cleansing probabilistic-graphical-models probabilistic-programming

Last synced: 04 May 2025

https://github.com/rant-lang/rant

Rant - The templating language for procedural generation.

crates language mocking probabilistic-programming procedural-generation procedural-programming procedural-text procgen programming-language rant rant-lang rant4 rust rust-crate rust-library scripting template-language templating text-generation

Last synced: 16 May 2025

https://github.com/nimble-dev/nimble

The base NIMBLE package for R

bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming r

Last synced: 15 May 2025

https://github.com/probcomp/metaprob

An embedded language for probabilistic programming and meta-programming.

clojure data-science machine-learning probabilistic-programming

Last synced: 08 May 2025

https://github.com/turinglang/dynamicppl.jl

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

hacktoberfest probabilistic-programming probability-theory

Last synced: 26 Dec 2025

https://github.com/christophmark/bayesloop

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

anomaly-detection bayesian-inference model-selection probabilistic-programming time-series-analysis

Last synced: 06 Apr 2025

https://github.com/biaslab/forneylab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

bayesian-methods factor-graph machine-learning probabilistic-graphical-models probabilistic-programming state-space-models

Last synced: 06 Nov 2025

https://github.com/PGM-Lab/InferPy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

keras-tensorflow neural-network probabilistic-modeling probabilistic-programming tensorflow user-friendly

Last synced: 16 Nov 2025

https://github.com/kach/memo

A probabilistic programming language for metacognitive modeling

cognitive-science differentiable-programming jax probabilistic-programming python

Last synced: 16 Jan 2026

https://github.com/genlm/genlm-control

Controlled text generation with programmable constraints

language-model llm probabilistic-programming

Last synced: 29 Dec 2025

https://github.com/Joshuaalbert/jaxns

Probabilistic Programming and Nested sampling in JAX

probabilistic-programming

Last synced: 27 Mar 2025

https://github.com/google-research/recsim_ng

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

artificial-intelligence google probabilistic-programming recommender-system reinforcement-learning simulation tensorflow

Last synced: 24 Apr 2025

https://github.com/barrust/pyprobables

Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html

bitarray bloom-filter count-mean-min-sketch count-mean-sketch count-min-sketch counting-bloom-filter counting-cuckoo-filter cuckoo-filter data-analysis data-mining data-science data-structures datastructures heavy-hitters probabilistic-programming probability python quotient-filter stream-threshold

Last synced: 09 Apr 2025

https://github.com/probprog/bopp

BOPP: Bayesian Optimization for Probabilistic Programs

bayesian-inference bayesian-optimization probabilistic-programming

Last synced: 12 Dec 2025

https://github.com/quantopian/bayesalpha

Bayesian models to compute performance and uncertainty of returns and alpha.

bayesian probabilistic-programming quantitative-finance

Last synced: 29 Aug 2025

https://github.com/AlexIoannides/pymc-example-project

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

bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn

Last synced: 19 Jul 2025

https://github.com/alexioannides/pymc-example-project

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

bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn

Last synced: 05 Jul 2025

https://github.com/amzn/MXFusion

Modular Probabilistic Programming on MXNet

bayesian-inference machine-learning mxnet probabilistic-programming python variational-inference

Last synced: 17 Apr 2025

https://github.com/mschauer/zigzagboomerang.jl

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

bayesian-inference boomerang bouncy-particle-sampler markov-chain-monte-carlo pdmp probabilistic-programming zigzag

Last synced: 01 Feb 2026

https://github.com/hyosubkim/bayes-toolbox

bayes-toolbox

bayesian-inference bayesian-statistics kruschke probabilistic-programming python statistics

Last synced: 01 May 2025

https://github.com/reactivebayes/reactivemp.jl

High-performance reactive message-passing based Bayesian inference engine

bayesian-inference inference julia message-passing probabilistic-graphical-models probabilistic-programming variational-bayes variational-inference

Last synced: 12 Jul 2025

https://github.com/ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

bayesian-inference inference julia message-passing probabilistic-graphical-models probabilistic-programming variational-bayes variational-inference

Last synced: 04 May 2025

https://github.com/anskarl/lomrf

LoMRF is an open-source implementation of Markov Logic Networks

graphical-models inference logic machine-learning probabilistic-programming scala

Last synced: 09 May 2025

https://github.com/anskarl/LoMRF

LoMRF is an open-source implementation of Markov Logic Networks

graphical-models inference logic machine-learning probabilistic-programming scala

Last synced: 13 May 2025

https://github.com/A1arcon/R_Actuarial

El objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus técnicas en el lenguaje de programación R o emprenderlo desde un punto de vista muy aplicado. Un repositorio con códigos de R para aplicaciones actuariales: probabilidad, estadística, riesgo y finanzas.

actuarial-science finance insurance probabilistic-programming r statistics unam

Last synced: 30 Jul 2025

https://github.com/mlcolab/pathfinder.jl

Preheat your MCMC

bayesian-inference probabilistic-programming variational-inference

Last synced: 21 Oct 2025

https://github.com/friguzzi/cplint

cplint is a suite of programs for reasoning with probabilistic logic programs

inductive-logic-programming logic-programming machine-learning probabilistic-logic-programming probabilistic-programming prolog

Last synced: 20 Nov 2025

https://github.com/cscherrer/tilde.jl

WIP successor to Soss.jl

bayesian-inference bayesian-statistics julia-language metaprogramming probabilistic-programming statistics

Last synced: 15 Apr 2025

https://github.com/probsys/sppl

Probabilistic programming system for fast and exact symbolic inference

pldi probabilistic-inference probabilistic-programming programming-languages sum-product-networks

Last synced: 27 Dec 2025

https://github.com/affeldt-aist/monae

Monadic effects and equational reasoning in Rocq

math-comp mathcomp monad-transformers monadic-effects monads nondeterminism probabilistic-programming ssreflect

Last synced: 20 Aug 2025

https://github.com/mohd-faizy/probabilistic-deep-learning-with-tensorflow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

bernoulli-distribution binomial-distributions deep-probabilistic-models keras machine-learning multivariate-distributions poisson-distribution probabilistic-deep-learning probabilistic-layers probabilistic-programming tensorflow tensorflow-probability tensorflow2 tfp univariate-distributions