bayesian-networks

There are 19 repositories under bayesian-networks topic.

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.
causal-inference machine-learning graphical-models bayesian-networks data-science python3 causality causal-models treatment-effects do-calculus causal-machine-learning
Language:Python 7401
pgmpy / pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
bayesian-networks causal-discovery causal-identification causal-inference inference python simulations structure-learning
Language:Python 2862
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
2800
google / neural-tangents
Fast and Easy Infinite Neural Networks in Python
neural-networks infinite-networks gaussian-processes training-dynamics neural-tangents jax kernel deep-networks kernel-computation gradient-descent bayesian-networks bayesian-inference gradient-flow
Language:Jupyter Notebook 2357
causalnex
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
Language:Python 2297
kumar-shridhar / PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference bayesian-statistics image-recognition aleatoric-uncertainties bayes bayesian-networks variational-inference variational-bayes
Language:Python 1493
microsoft / browsecloud
A web app to create and browse text visualizations for automated customer listening.
nlp counting-grids visualization text-classification text-processing bayesian-networks
Language:TypeScript 148
aimclub / BAMT
Repository of a data modeling and analysis tool based on Bayesian networks
bayesian-networks mixed-data parameters-learning structure-learning synthetic-data
Language:Python 126
kevinsbello / dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
bayesian-networks causal-discovery dags graphical-models neurips-2022 structure-learning
Language:Python 125
paulgovan / BayesianNetwork
Bayesian Network Modeling and Analysis
bayesian-networks network-measures learning-algorithm r
Language:HTML 121
amidst / toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
data-science machine-learning bayesian-methods bayesian-networks streaming-data latent-variable-models graphical-models
Language:Java 119
causalincentives / pycid
Library for graphical models of decision making, based on pgmpy and networkx
bayesian-networks causality influence-diagrams
Language:Jupyter Notebook 106
artiste-qb-net / quantum-fog
Python tools for analyzing both classical and quantum Bayesian Networks
quantum-computing bayesian-networks
Language:Jupyter Notebook 79
felixleopoldo / benchpress
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
graphical-models bayesian-networks markov-networks benchmarking reproducible-research snakemake-workflow structure-learning causal-discovery causal-models causality
Language:Python 68
dkesada / dbnR
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
forecasting bayesian-networks dynamic-bayesian-networks inference time-series
Language:R 56
larslorch / dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
bayesian-inference bayesian-networks causal-inference structure-learning variational-inference
Language:Python 47
davenza / PyBNesian
PyBNesian is a Python package that implements Bayesian networks.
bayesian-networks kernel-density-estimation python
Language:C++ 46
itsrainingdata / sparsebn
Software for learning sparse Bayesian networks
bayesian-networks covariance-matrices experimental-data graphical-models machine-learning r regularization statistics
Language:R 43
godai0519 / BayesianNetwork
An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.
bayesian-networks c-plus-plus library
Language:C++ 40
aimclub / Web-BAMT
Online tool for Bayesian Networks
bayesian-networks
Language:TypeScript 35
bd2kccd / r-causal
R Wrapper for Tetrad Library
tetrad-library wrapper knowledge causal-inference bayesian-networks
Language:Java 35
paulgovan / RiskNetwork
Risk Network Modeling and Analysis
bayesian-networks network-measures learning-algorithm r risk-networks
Language:R 32
fahadm / Bayesian-Active-Learning-Pytorch
Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))
active-learning bayesian-networks dropout machine-learning neural-network pytorch
Language:Jupyter Notebook 31
MauroCE / PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-neural-networks bayesian-optimization bayesian-statistics graphical-models machine-learning markov-networks matlab model-selection statistics statistics-toolbox supervised-learning supervised-learning-algorithms supervised-machine-learning
Language:Python 24
amirjamez / COBAYN
COBAYN: Compiler Autotuning Framework Using Bayesian Networks
compiler-optimizations machine-learning bayesian-networks automatic-tuning antarex eu-project datasets compilers
Language:MATLAB 20
hyu-ub / BayesNetBP
R package for inference in Bayesian networks.
bayesian-networks network-inference probabilistic-graphical-models conditional-gaussian
Language:R 19
Benjamin-Walker / heart-murmur-detection
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection (Physionet Challenge 2022)
bayesian-networks convolutional-neural-networks deep-neural-networks heart-disease-prediction physionet2022
Language:Jupyter Notebook 18
jluttine / junction-tree
The junction tree algorithm for (discrete) factor graphs
junction-trees factor-graphs clique-potentials inference bayesian-networks graphical-models marginalization
Language:Python 17
robson-fernandes / dbnlearn
dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
bayesian-inference bayesian-networks dynamic-bayesian-networks probabilistic-graphical-models time-series
Language:R 17
mikeroyal / Bayesian-Statistics-Guide
Bayesian Statistics Guide
bayesian-inference bayesian-statistics bayesian-optimization bayesian bayes bayes-classifier bayesian-data-analysis bayesian-methods bayesian-network bayesian-networks deep-learning machine-learning pytorch statistics
Language:MATLAB 15
herolab-uga / bsac
Bayesian Soft Actor Critic
bayesian-networks deep-reinforcement-learning kinematic-trees reinforcement-learning robot-kinematics soft-actor-critic
Language:Python 14
SAP-archive / bayesian-network-builder
Domain specific language for modelling dynamic Bayesian networks and estimating posteriors
bayesian-networks bayesian-inference bayes dsl
Language:Scala 13
breandan / markovian
🎲 A Kotlin DSL for probabilistic programming.
probabilistic-circuits uncertainty-propagation bayesian-networks probabilistic-graphical-models probabilistic-programming
Language:Java 12
hayesall / awesome-bayes-nets
⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
awesome awesome-list bayes bayesian-networks machine-learning probabilistic-graphical-models
Language:Python 12
cbg-ethz / SGS
Inference in Bayesian Networks with R
bayesian-network bayesian-networks graphical-models inference missing-data probabilistic-graphical-models
Language:R 11
Duntrain / dagrad
dagrad is a Python package that provides an extensible, modular platform for developing and experimenting with differentiable (gradient-based) structure learning methods.
bayesian-networks causal-discovery dags graphical-models structure-learning
Language:Python 11