bayesian-networks

There are 17 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.
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Language:Python 6877
pgmpy / pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
python probabilistic-graphical-models bayesian-networks causal-inference structure-learning causal-discovery directed-acyclic-graph inference simulations
Language:Python 2650
afshinea / stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
cheatsheet artificial-intelligence markov-decision-processes a-star constraint-satisfaction-problem bayesian-networks data-science
2504
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
Language:Jupyter Notebook 2250
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 2187
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 1387
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
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
aimclub / BAMT
Repository of a data modeling and analysis tool based on Bayesian networks
bayesian-networks synthetic-data mixed-data structure-learning parameters-learning
Language:Python 116
paulgovan / BayesianNetwork
Bayesian Network Modeling and Analysis
bayesian-networks network-measures learning-algorithm r
Language:HTML 114
causalincentives / pycid
Library for graphical models of decision making, based on pgmpy and networkx
bayesian-networks causality influence-diagrams
Language:Jupyter Notebook 93
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"
structure-learning causal-discovery graphical-models neurips-2022 bayesian-networks dags
Language:Python 81
artiste-qb-net / quantum-fog
Python tools for analyzing both classical and quantum Bayesian Networks
quantum-computing bayesian-networks
Language:Jupyter Notebook 78
felixleopoldo / benchpress
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
graphical-models bayesian-networks markov-networks benchmarking reproducible-research machine-learning snakemake-workflow structure-learning causal-discovery causal-models causality
Language:Python 61
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 44
itsrainingdata / sparsebn
Software for learning sparse Bayesian networks
bayesian-networks covariance-matrices experimental-data graphical-models regularization machine-learning statistics r
Language:R 43
larslorch / dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
bayesian-inference bayesian-networks variational-inference structure-learning causal-inference
Language:Python 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++ 39
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 34
davenza / PyBNesian
PyBNesian is a Python package that implements Bayesian networks.
bayesian-networks kernel-density-estimation python
Language:C++ 34
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
paulgovan / RiskNetwork
Risk Network Modeling and Analysis
bayesian-networks network-measures learning-algorithm r risk-networks
Language:R 31
MauroCE / PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
machine-learning bayesian-statistics bayesian-network bayesian-inference graphical-models matlab markov-networks model-selection statistics-toolbox statistics bayesian bayesian-methods bayesian-optimization bayesian-networks bayesian-neural-networks bayesian-data-analysis supervised-learning supervised-machine-learning supervised-learning-algorithms bayesian-analysis
Language:Python 24
hyu-ub / BayesNetBP
R package for inference in Bayesian networks.
bayesian-networks network-inference probabilistic-graphical-models conditional-gaussian
Language:R 19
amirjamez / COBAYN
COBAYN: Compiler Autotuning Framework Using Bayesian Networks
antarex automatic-tuning bayesian-networks compiler-optimizations compilers datasets eu-project machine-learning
Language:MATLAB 18
jluttine / junction-tree
The junction tree algorithm for (discrete) factor graphs
bayesian-networks clique-potentials factor-graphs graphical-models inference junction-trees marginalization
Language:Python 18
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 14
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 / 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
robson-fernandes / dbnlearn
dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
dynamic-bayesian-networks bayesian-networks bayesian-inference time-series probabilistic-graphical-models
Language:R 12
Himscipy / bnn_hvd
Distributed Training of Bayesian Neural Networks at Scale
bayesian-networks horovod machine-learning computer-vision distributed-computing mnist tensorflow tensorflow-probability uncertainty-quantification variational-inference data-science
Language:Python 11
jorgeserras / MTS_OutlierDetection
METEOR: Outlier detection for longitudinal data using Dynamic Bayesian Networks
bayesian-networks classification-algorithm data-analysis data-science machine-learning outlier-analysis outlier-detection longitudinal-data multivariate multivariate-timeseries time-series
11
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 11
navreeetkaur / bayesian-network-learning
Learning Bayesian Network parameters using Expectation-Maximisation
artificial-intelligence artificial-intelligence-algorithms expectation-maximization expectation-maximization-algorithm bayesian-network bayesian-networks bayes-network expectation-maximisation-algorithm missing-data bif bifextract
Language:Python 11