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/ensta-u2is-ai/torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

bayesian-network computer-vision ensembles neural-networks predictive-uncertainty pytorch reliable-ai trustworthy-machine-learning uncertainty uncertainty-quantification

Last synced: 12 Jan 2026

https://github.com/TiagoCortinhal/SalsaNext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

3d-lidar-data bayesian-network decoder encoder jaccard lidar lidar-point-clouds semantic-segmentation semantickitti

Last synced: 20 Mar 2025

https://github.com/maxhalford/sorobn

🧮 Bayesian networks in Python

bayesian-network

Last synced: 07 Apr 2025

https://github.com/ENSTA-U2IS-AI/torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

bayesian-network computer-vision ensembles mixup neural-networks predictive-uncertainty pytorch reliable-ai trustworthy-machine-learning uncertainty uncertainty-quantification

Last synced: 05 Apr 2025

https://github.com/renovamen/pcalg-py

Implement PC algorithm in Python | PC 算法的 Python 实现

bayesian-network causal-inference pc-algorithm

Last synced: 08 Sep 2025

https://github.com/samanyougarg/group-emotion-recognition

Group Emotion Recognition using deep neural networks and Bayesian classifiers.

bayesian-network cnn computer-vision convolutional-neural-networks deep-learning emotion emotion-analysis emotion-detection emotion-recognition facial-expression-recognition flask group-emotion-recognition image-processing keras numpy pandas

Last synced: 27 Jun 2025

https://github.com/ostwalprasad/lgnpy

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

bayesian-network belief-propagation gabp gaussian-bayesian-networks gaussian-belief-propagation gaussian-graphical-models graphical-models linear-gaussian-networks message-passing

Last synced: 14 Jan 2026

https://github.com/andreacasalino/easy-factor-graph

General purpose C++ library for managing discrete factor graphs

artificial-intelligence artificial-intelligence-algorithms bayesian-methods bayesian-network cpp factor-graph factor-graphs graphical-models machine-learning probabilistic-graphical-models probability training

Last synced: 04 Oct 2025

https://gitlab.com/agrumery/aGrUM

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

artificial-intelligence bayesian-network causal-inference causal-models causality cpp20 credal-network explainable-ai influence-diagram machine-learning-algorithms markov-network parallel-algorithm probabilistic-classifiers probabilistic-graphical-models probabilistic-models python python3 statistical-learning structural-learning

Last synced: 07 Oct 2025

https://github.com/ANRGenstar/genstar

Generation of Synthetic Populations Library

algorithm-library bayesian-inference bayesian-network combinatorial-optimization datascience demographics java-8 microsimulation multiagent population population-model statistics statistics-library statistics-toolbox synthetic-data synthetic-population-library

Last synced: 02 May 2025

https://github.com/uio-bmi/dagsim

A framework and specification language for simulating data based on graphical models

bayesian-network causal-models directed-acyclic-graph python simulation

Last synced: 14 Jan 2026

https://github.com/mvrahden/recurrent-js

[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

ai artificial-intelligence artificial-neural-networks backpropagation bayesian-network deep-learning deep-reinforcement-learning dnn feedforward-neural-network graph lstm neural-network npm recurrent-js recurrent-neural-networks rnn typescript

Last synced: 11 Oct 2025

https://github.com/fulldecent/19-questions

A machine learning / bayesian inference engine assigning attributes to objects

artificial-general-intelligence artificial-intelligence artificial-neural-networks bayesian bayesian-inference bayesian-methods bayesian-network bayesian-optimization data-science entropy game machine-learning neural-network php

Last synced: 28 Sep 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/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/apear9/riskmapr

Code for riskmapr apps for invasive weed risk mapping

bayesian bayesian-network data-science ecology ecology-of-invasion invasive-species risk-map shiny shiny-apps weeds

Last synced: 30 Jul 2025

https://github.com/kgourgou/adaptive-importance-sampling-bn

Experimental code: adaptive importance sampling for bayesian networks.

adaptive bayesian-inference bayesian-network importance-sampling sampling-methods

Last synced: 24 Apr 2025

https://github.com/dirmeier/structure-learning-with-pymc

Demo how one could use PyMC3 to learn the structure of a Bayesian network.

bayesian-network pymc3 python

Last synced: 04 Jul 2025

https://github.com/furrer-lab/abn

Bayesian network analysis in R

bayesian-network binomial categorical-data gaussian grouped-datasets mixed-effects multinomial multivariate poisson structure-learning

Last synced: 22 Oct 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/chenhaotian/bayesian-bricks

Basic building blocks in Bayesian statistics.

bayesian-inference bayesian-network bayesian-statistics em-algorithm graphical-models hierarchical-mixture-models hierarchical-models hierarchical-topic-models mcmc-methods rpackage statistical-models

Last synced: 22 Oct 2025

https://github.com/fs02/pgm-plus

A C++ Probabilistic Graphical Model Library

bayesian-network pgm

Last synced: 28 Oct 2025

https://github.com/hayesall/bn-rule-extraction

Rule Extraction from Bayesian Networks

bayesian-network interpretability machine-learning machine-learning-interpretability rule-extraction trustworthy-ai

Last synced: 18 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/matteofasulo/bayesianheartdisease

Heart Disease Risk Assessment using Bayesian Networks

bayesian-network bayesian-networks pgmpy python3

Last synced: 10 Aug 2025

https://github.com/koriavinash1/pgm

Graph: Representation, Learning, and Inference Methods

active-trails bayesian-inference bayesian-network bfs bn-representation dfs gibbs-sampling gibbs-sampling-algorithm graph inference loopy-belief-propagation markov-networks message-passing-interface metropolis-hastings pgm pgm-inference pgm-learning pgm-representation probability

Last synced: 17 Mar 2025

https://github.com/yakuza8/bayesian-inference

Bayesian Inference

bayesian-inference bayesian-network bayesian-statistics exact-inference joint-probability posterior-probability prior-probability probability probability-parser

Last synced: 25 Oct 2025

https://github.com/mlange-42/bbn

Bayesian Belief Network CLI/TUI tool and Go module.

bayesian-inference bayesian-network bbn cli golang tui

Last synced: 03 Mar 2026

https://github.com/haimgoldfisher/inference_from_bayesian_network

algorithms algorithms-and-data-structures bayes-ball bayesian-inference bayesian-network bfs bfs-algorithm bfs-search graph java node undirected-graphs variable-elimination xml xml-reader

Last synced: 05 Jan 2026

https://github.com/reiiyuki/ml-activity-naive-bayes

Text Classification by Naive Bayes

bayesian-network machine-learning ml naive-bayes-algorithm naive-bayes-classifier nlp nlp-machine-learning

Last synced: 29 Mar 2025

https://github.com/hscspring/bayes-graph-and-causal-inference

Graph based Bayes causal inference.

bayesian-inference bayesian-network causal-inference

Last synced: 13 May 2025

https://github.com/bkbilly/bayesian_networks

Implementation for bayesian network

bayesian-network enumeration likelihood-weighting pipy rejection-sampling

Last synced: 24 Feb 2026

https://github.com/shaunabanana/simple-bayesnet

A simple visual tool to build and run inference on your own Bayesian Network.

bayesian-inference bayesian-network data-science eel gui machine-learning tool visualization vuejs2

Last synced: 10 Mar 2025

https://github.com/carlotacb/csi-practicas

📈 [Castellano] Practicas de la assignatura de Computacion y sistemas inteligentes del master en ingenieria informatica de la FIB-UPC

bayesian-network computer-science minizinc upc

Last synced: 21 Feb 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: 02 Aug 2025

https://github.com/rathod-shubham/artificial-intelligence

A curated list of my Artificial Intelligence project.

artificial-intelligence artificial-neural-networks bayes-classifier bayesian bayesian-methods bayesian-network game-playing-agent informed-search posterior-probability uninformed-search wumpus wumpus-game

Last synced: 01 Jan 2026

https://github.com/krichelj/ai_bgu_2021

Artificial Intelligence course, Computer Science M.Sc., Ben Gurion University of the Negev, 2021

a-star-algorithm ai artificial-intelligence bayesian-network bellman-equation computer-science deep-learning game-theory-algorithms heuristic-search-algorithms kruskal-algorithm machine-learning markov-decision-processes minimal-spanning-tree minimax-algorithm policy-iteration-algorithm prim-algorithm reinforcement-learning value-iteration-algorithm

Last synced: 28 Feb 2025

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

A Julia package for working with bipartite factor graphs

bayesian-inference bayesian-network bipartite-graphs graphs

Last synced: 25 Aug 2025

https://github.com/savinrazvan/heredity

An AI that assesses the likelihood of genetic traits in individuals using a Bayesian Network to analyze family genetic data, modeling genetic inheritance and mutations to infer probabilities of gene presence and trait expression.

ai bayesian-network biological-data-analysis data-analysis educational-project family-genetics genetic-inheritance genetic-traits heredity mutation-modeling probability-calculation python

Last synced: 27 Feb 2025

https://github.com/khteh/paithon

Exploration of python language features and AI/ML.

ac-3 bayes bayesian bayesian-network bert knn linear-regression logistic-regression markov markov-chain markov-model montecarlo nearest-neighbor neural-network nltk probability propositional-logic q-learning tensorflow uncertainty

Last synced: 30 Dec 2025

https://github.com/zhuagenborn/berkeley-cs188-artificial-intelligence

👻 Solutions for the course "CS188: Artificial Intelligence" of University of California, Berkeley.（加州大学伯克利分校《CS188：人工智能》的课程作业。）

alpha-beta-pruning artificial-intelligence bayesian-network game minimax pac-man reinforcement-learning

Last synced: 11 Jul 2025

https://github.com/justinshenk/learnthestructure

Implementation of libpgm for the Wisconsin Breast Cancer Database

bayesian-network python

Last synced: 09 Nov 2025

https://github.com/garciparedes/machine-learning-bayesian-2

article bayesian bayesian-network machine-learning university-of-valladolid

Last synced: 08 Mar 2026

https://github.com/noriakis/scstruc

Evaluation of gene regulatory network based on Bayesian network structure in single-cell transcriptomics

bayesian-network single-cell structure-learning

Last synced: 28 Oct 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/mynameisvinn/basilisk

bayesian networks made easy

bayesian-network causal-inference causal-models

Last synced: 05 Nov 2025

https://github.com/animesh-chourey/ros-human-robot-interaction

A computational model simulating human-robot interaction.

bayesian-network conditional-probability python ros-melodic

Last synced: 01 Mar 2025

https://github.com/zsxoff/bayesian-network-credit

An example of a Bayesian network for credit-worthiness

bayesian bayesian-network credit-worthiness jupyter

Last synced: 07 Oct 2025

https://github.com/jakecyr/bayesian-network

Naive Bayes Classifier built in Node.js

bayesian-network bayesian-networks classifier machine-learning nodejs

Last synced: 09 Mar 2025

https://github.com/siris2314/mlpp

ML++ is a C++ Machine Learning Library built from the ground up using only C/C++ standard libraries

api bayesian-network convolutional-neural-network cpp cpp-programming cpp20 machine-learning machine-learning-algorithms neural-network neural-networks opencv torch

Last synced: 11 Mar 2025

https://github.com/tomijuarez/naivebayes

Simple user classification for e-commerce systems.

bayesian-network e-commerce inference php

Last synced: 28 Jul 2025

https://github.com/vishnu-vamshii/advanced-machine-learning-projects

Covered Advanced Machine Learning topics like hyperparameter tuning for Machine Learning techniques, GridSearchCV, Pruning, Linear SVM Regressor, Polynomial Kernel SVM Regressor, Bayesian Network Analysis etc,.

bayesian-network gridsearchcv pruning svm-regressor

Last synced: 02 Feb 2026

https://github.com/mreliptik/bayesiannetworkindependencechecker

An algorithm to create a bayesian network and check independance of the variables

bayesian bayesian-network conditional-independence d-separability

Last synced: 24 Jul 2025

https://github.com/alexkch/pacman

Search/MinMax/CSP/BayesNets/HMMs

astar-algorithm bayesian-network csp minmax pacman search

Last synced: 05 Oct 2025

https://github.com/zkan/hello-bayesian-network

Hello, Bayesian Network

bayesian bayesian-inference bayesian-network python

Last synced: 05 Apr 2025

https://github.com/vvkmnn/aslai

A Hidden Markov Machine that recognizes and transcribes ASL.

artificial-intelligence bayesian-network hidden-markov-machine

Last synced: 10 Oct 2025

https://github.com/munjpatel/bayesian-networks-a-practical-guide

This repository demonstrates the application of Bayesian Networks for modeling relationships between variables, enabling data-driven predictions and decision-making. It includes real-world use cases such as disease prediction, loan default classification, weather forecasting, and stock price forecasting.

bayesian-network disease-prediction loan-default-prediction stock-price-prediction weather-forecast

Last synced: 27 Mar 2025

https://github.com/mauriballes/bayesianas-expertos

Proyecto de Sistemas Expertos de la UAGRM

angularjs bayesian-network expert-system javascript materializecss

Last synced: 31 Jan 2026

https://github.com/big-shahmir/bayesian_networks

This project implements a Naive Bayesian model and the Variable Elimination algorithm to predict salaries based on demographic attributes from the 1994 US Census, while exploring fairness in machine learning predictions across gender to address potential biases in decision-making.

bayesian-network bayesian-statistics predictive-modeling python3 statistics

Last synced: 22 Aug 2025