Projects in Awesome Lists tagged with bayesian-networks
A curated list of projects in awesome lists tagged with bayesian-networks .
https://github.com/py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Last synced: 12 Dec 2025
https://github.com/pgmpy/pgmpy
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
bayesian-networks causal-discovery causal-identification causal-inference causal-models causal-validation mixed-data probabilistic-inference python simulation synthetic-data
Last synced: 15 May 2025
https://github.com/afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
a-star artificial-intelligence bayesian-networks cheatsheet constraint-satisfaction-problem data-science markov-decision-processes
Last synced: 06 Jul 2025
https://github.com/quantumblacklabs/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 09 Jan 2026
https://github.com/google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics
Last synced: 14 May 2025
https://github.com/mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 12 Dec 2025
https://github.com/kumar-shridhar/pytorch-bayesiancnn
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 15 May 2025
https://github.com/kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 26 Mar 2025
https://github.com/microsoft/browsecloud
A web app to create and browse text visualizations for automated customer listening.
bayesian-networks counting-grids nlp text-classification text-processing visualization
Last synced: 14 Jul 2025
https://github.com/aimclub/BAMT
Repository of a data modeling and analysis tool based on Bayesian networks
bayesian-networks mixed-data parameters-learning structure-learning synthetic-data
Last synced: 02 May 2025
https://github.com/paulgovan/bayesiannetwork
Bayesian Network Modeling and Analysis
bayesian-networks learning-algorithm network-measures r
Last synced: 06 Apr 2025
https://github.com/felixleopoldo/benchpress
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
bayesian-networks benchmarking causal-discovery causal-models causality graphical-models markov-networks reproducible-research snakemake-workflow structure-learning
Last synced: 04 Oct 2025
https://github.com/dkesada/dbnr
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
bayesian-networks dynamic-bayesian-networks forecasting inference time-series
Last synced: 22 Oct 2025
https://github.com/itsrainingdata/sparsebn
Software for learning sparse Bayesian networks
bayesian-networks covariance-matrices experimental-data graphical-models machine-learning r regularization statistics
Last synced: 22 Mar 2025
https://github.com/paulgovan/risknetwork
Risk Network Modeling and Analysis
bayesian-networks learning-algorithm network-measures r risk-networks
Last synced: 15 Apr 2025
https://github.com/anaxagor/applybn
Multi-purpose data analysis framework based on Bayesian networks and Causal models
bayesian-networks causal-models concept-analysis feature-extraction feature-selection outlier-detection oversampling tabular-data time-series
Last synced: 26 Feb 2026
https://github.com/jluttine/junction-tree
The junction tree algorithm for (discrete) factor graphs
bayesian-networks clique-potentials factor-graphs graphical-models inference junction-trees marginalization
Last synced: 21 Jun 2025
https://github.com/mikeroyal/bayesian-statistics-guide
Bayesian Statistics Guide
bayes bayes-classifier bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-optimization bayesian-statistics deep-learning machine-learning pytorch statistics
Last synced: 13 May 2025
https://github.com/sap-archive/bayesian-network-builder
Domain specific language for modelling dynamic Bayesian networks and estimating posteriors
bayes bayesian-inference bayesian-networks dsl
Last synced: 06 Oct 2025
https://github.com/Himscipy/bnn_hvd
Distributed Training of Bayesian Neural Networks at Scale
bayesian-networks computer-vision data-science distributed-computing horovod machine-learning mnist tensorflow tensorflow-probability uncertainty-quantification variational-inference
Last synced: 15 Jul 2025
https://github.com/cbg-ethz/sgs
Inference in Bayesian Networks with R
bayesian-network bayesian-networks graphical-models inference missing-data probabilistic-graphical-models
Last synced: 28 Apr 2025
https://github.com/wadaboa/bayesian-net-classifier
Various classifiers using bayesian networks, for Knowledge Representation class at UNIBO
bayesian-networks classifiers forest-augmented-naive-bayes naive-bayes tree-augmented-naive-bayes
Last synced: 01 Sep 2025
https://github.com/cbg-ethz/clustnet
Network-based clustering
bayesian-network bayesian-networks clustering dag genomics mixture-model network-clustering
Last synced: 02 Mar 2026
https://github.com/itsrainingdata/ccdralgorithm
Structure learning for Bayesian networks using the CCDr algorithm.
bayesian-networks experimental-data graphical-models machine-learning-algorithms r regularization statistical-learning
Last synced: 13 Apr 2025
https://github.com/gilbertocunha/quantumbayesianrl
A quantum reinforcement learning algorithm for solving POMDPs. Uses a model based approach with dynamic decision networks and a lookahead search for action selection.
bayesian-inference bayesian-networks quantum-computing reinforcement-learning
Last synced: 12 Oct 2025
https://github.com/dirmeier/bayesian-networks-introduction
:bar_chart: Introduction to Bayesian Networks.
Last synced: 15 Apr 2025
https://github.com/matteofasulo/bayesianheartdisease
Heart Disease Risk Assessment using Bayesian Networks
bayesian-network bayesian-networks pgmpy python3
Last synced: 10 Aug 2025
https://github.com/fritzbayer/causal-discovery-research-papers
A curated list of causal structure learning research papers with implementations.
bayesian-network bayesian-networks causal-discovery causal-inference causality dag structure-learning
Last synced: 02 Feb 2026
https://github.com/kevinsbello/iscan
A Python 3 package for identifying distribution shifts (a.k.a feature-shifts) between datasets. Official implementation of the paper: "iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models".
bayesian-networks causal-mechanisms causal-models difference-dag difference-network distribution-shift intervention-target-estimation neurips-2023 root-cause-analysis score-matching
Last synced: 14 Jan 2026
https://github.com/felixleopoldo/cslearn
CSlearn: a package for context-specific graphical models
bayesian-networks cstrees graphical-models
Last synced: 14 May 2026
https://github.com/amirreza81/artificial-intelligence
Solutions to practical assignments of Artificial Intelligence course (CE-417) at Sharif University of Technology
a-star a-star-algorithm adversarial-search ai alpha-beta-pruning artificial-intelligence bayesian-networks cryptarithmetic decision-trees deep-learning logistic-regression machine-learning minimax-algorithm pytorch q-learning q-learning-vs-sarsa rainforcement-learning rl simulated-annealing simulated-annealing-algorithm
Last synced: 16 Jun 2025
https://github.com/hal-lab-u-tokyo/openbnsl
OpenBNSL is a unified, open-source, and comprehensive framework for evaluating Bayesian Network Structure Learning (BNSL) methods
bayesian-networks machine-learning
Last synced: 04 Mar 2026
https://github.com/leodido/m.sc-thesis
My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)
bayesian-networks ctbn ml thesis time-series time-series-classification
Last synced: 08 Feb 2026
https://github.com/mollendorff-ai/forge
AI-native financial modeling — YAML models that LLMs read, write, and validate deterministically. 10-15x fewer tokens than Excel.
bayesian-networks cli decision-trees excel finance financial-modeling formula-engine mcp monte-carlo real-options rust simulation spreadsheet yaml
Last synced: 31 May 2026
https://github.com/lucivpav/dnbc-scala
Parallel implementation of dynamic naive Bayesian classifier
apache-spark bayesian-networks ctu-fit dnbc fit-ctu naive-bayes-classifier scala spark
Last synced: 17 Feb 2026
https://github.com/harshakokel/basket
This repository contains implementations of various ML/NLP/CV algorithms including Bayesian-Networks, HMM, Means, various gradient descents, loopy belief propagation, etc.
bayesian-networks collaborative-filtering machine-learning python
Last synced: 04 Mar 2025
https://github.com/markdouthwaite/apogee
Bayesian Networks and Probabilistic Graphical Models for Python
artificial-intelligence bayesian-networks probabilistic-graphical-models probabilistic-programming
Last synced: 24 Mar 2025
https://github.com/itsrainingdata/sparsebnutils
Utilities for learning sparse Bayesian networks
bayesian-networks graphical-models machine-learning r statistics
Last synced: 13 Apr 2025
https://github.com/noranta4/machine-learning-homeworks
Machine learning homeworks • University project • 2016 - Machine Learning - MSc in Computer Science, I year
bayesian-networks clustering gaussian-mixture-models knn machine-learning pca regression svm
Last synced: 14 Jul 2025
https://github.com/samthiriot/knime.bayesiannetworks
Bayesian Networks nodes for KNIME
bayesian-networks knime knime-node scientific-computing scientific-machine-learning scientific-workflows synthetic-data synthetic-dataset-generation synthetic-population-library synthetic-populations
Last synced: 01 Aug 2025
https://github.com/rmodi6/pacman-ai-ghostbusters
Solutions to Pacman AI Ghostbusters problems
artificial-intelligence bayesian-inference bayesian-networks inference-algorithms pacman python27
Last synced: 23 Aug 2025
https://github.com/hayesall/unidags
🦄 Uniformly distributed samples of directed acyclic graphs for random Bayesian Networks
Last synced: 09 Jul 2025
https://github.com/cbg-ethz/myeloid-clustering
This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"
acute-myeloid-leukemia bayesian-networks cancer-genomics clustering myelodysplasticsyndome network-based-stratification
Last synced: 25 Dec 2025
https://github.com/ymd-h/b4tf
Mirror Repository of https://gitlab.com/ymd_h/b4tf
bayesian-networks machine-learning python
Last synced: 12 Jun 2025
https://github.com/ax-va/project-bayesianpy
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
bayesian-inference bayesian-machine-learning bayesian-network bayesian-networks bayesian-reasoning inference machine-learning machine-learning-algorithms markov-network markov-networks pgm probabilistic-graphical-models probabilistic-programming probabilistic-reasoning
Last synced: 31 Dec 2025
https://github.com/obinexus/pyobiai
Bayesian network framework for AI bias mitigation in healthcare diagnostics. Implements DAG-based structural causal modeling with MCMC inference to achieve 85% reduction in demographic disparities while maintaining 95% model accuracy.
bayesian-networks bias-mitigation fairness-ml healthcare-ai mcmc-inference
Last synced: 22 Jan 2026
https://github.com/wwiecek/rgraphsampler
R interface for the network inference MCMC C software graph_sampler (very raw prototype)
Last synced: 25 Oct 2025
https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm
Last synced: 15 Apr 2026
https://github.com/jbris/climate-structure-learning-experiments
Structure learning on climate data
bayesian-networks causal-inference causal-networks climate-networks structure-learning
Last synced: 17 Jun 2025
https://github.com/matteofasulo/heartdisease-dashboard
Heart Disease Risk Assessment using Bayesian Networks
bayesian-inference bayesian-network bayesian-networks pgmpy python3 streamlit variable-elimination
Last synced: 17 Apr 2026
https://github.com/velocitatem/risk_assesment_arctic_navigation
Project for Probability for Computer Science - bayesian network modeling of risk in arctic navigation
Last synced: 20 Jun 2025
https://github.com/jakecyr/bayesian-network
Naive Bayes Classifier built in Node.js
bayesian-network bayesian-networks classifier machine-learning nodejs
Last synced: 01 May 2026
https://github.com/dpbm/bayesian-networks
Testing Quantum bayesian networks with pennnylane
bayesian bayesian-networks pennylane quantum quantum-computing quantum-machine-learning
Last synced: 12 Jun 2025
https://github.com/ilke-kas/probabilistic-graphic-models
A portfolio of advanced projects in probabilistic graphical models (PGMs), featuring hands-on notebooks for model design, inference, and real-world applications. Includes work on Bayesian networks, image denoising, and creative PGM explorations. Ideal for data science, machine learning, and AI.
ai bayesian-networks data-science inference machine-learning probabilistic-graphical-models python
Last synced: 09 May 2026
https://github.com/musty-ess/heredity-genetic-trait-prediction-using-bayesian-networks-ai
This project aims to implement an AI that assesses the likelihood of a person having a particular genetic trait based on their family history. The trait in question is modeled using a Bayesian Network.
ai artificial-intelligence bayesian-networks probability python
Last synced: 06 May 2026
https://github.com/jmetrikat/pml-ss24
Exercises in the subject "Probabilistic Machine Learning" at Hasso Plattner Institute.
bayesian-networks julia probabilistic-machine-learning trueskill
Last synced: 03 May 2026
https://github.com/aqib121201/interactive-bayesian-network-playground-with-inference-heatmaps
Visual web app to define & run inference on Bayesian networks with heatmap outputs
bayesian-networks belief-propagation inference pgmpy probabilistic-graphical-models visualization
Last synced: 18 Apr 2026
https://github.com/mushtabaa/encm509-labs
Fundamentals of Biometric Systems Design Assignments
bayesian-networks conditional-probability de-noising em-algorithm face-recognition feature-extraction fingerprint gabor-filter guassian-mixture-model hand-gesture-recognition log-likelihood long-short-term-memory pre-processing principal-component-analysis pyagrum segmentation statistical-analysis wiener-filter
Last synced: 09 Apr 2025
https://github.com/aldomann/data-visualisation
Scripts developed for the Data Visualisation class
bayesian-networks bootstrapping-statistics data-simulation statistics studies
Last synced: 21 May 2026
https://github.com/techshot25/bayesian-neural-network
You know I'm all about the Bayes!
bayesian-inference bayesian-networks probabilistic-neural-network pyro-ppl
Last synced: 25 Feb 2025
https://github.com/gaaniruddha/fit5047
This repository contains the two assignment that were completed as a part of "FIT5047 Fundamentals of AI", taught at Monash Uni in S1 2020.
bayesian-networks classification decision-trees knn naive-bayes regression
Last synced: 19 Jun 2025
https://github.com/markdouthwaite/apogee-server
Probabilistic Graphical Models on Kubernetes
bayesian-networks gcp golang kuberenetes machine-learning probabilistic-graphical-models python skaffold tornado
Last synced: 19 May 2026
https://github.com/mballarin97/bayesnetworks
Project for the course of Advanced statistics of physical analysis
bayesian-inference bayesian-networks k2 network-generator physical-analysis statistics
Last synced: 12 Sep 2025
https://github.com/davidgeorgewilliams/sushinference-bayes
Dive into the flavorful world of probabilistic sushi recommendations with SushiNference-Bayes! This innovative C# project leverages Bayesian inference and the Infer.NET library to predict and model sushi preferences, serving up a delicious blend of machine learning and culinary science.
bayes-classifier bayesian-data-analysis bayesian-inference bayesian-methods bayesian-networks bayesian-optimization c-sharp c-sharp-8 dotnet dotnet-framework sushi
Last synced: 08 Feb 2026
