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bayesian-networks

Here are 152 public repositories matching this topic...

microsoft / dowhy

Open

dowhy.plotter override matplotlib default settings

1

dbalabka commented Apr 14, 2022

I've faced a problem that importing dowhy.plotter lead to incorrect visual settings for all future rendered plots.

It would be great to avoid overriding default matplotlib settings:
https://github.com/microsoft/dowhy/blob/master/dowhy/plotter.py#L7-L13

A possible solution is to encapsulate these settings into dowhy.plotter functions instead of overriding global variables.

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good first issue

Open

regression adjusted estimator for propensity_score_weighting

3

Open

Implement complete adjustment criterion that generalizes backdoor

Find more good first issues

pgmpy / pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

python statistics simulation statistical-inference causality bayesian-networks probabilistic-graphical-models dag causal-inference structure-learning causal-models sampling-methods

Updated Apr 25, 2022
Python

afshinea / stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

data-science constraint-satisfaction-problem artificial-intelligence cheatsheet a-star markov-decision-processes bayesian-networks

Updated Dec 17, 2019

google / neural-tangents

Fast and Easy Infinite Neural Networks in Python

kernel neural-networks gradient-descent bayesian-inference gaussian-processes bayesian-networks deep-networks gradient-flow jax infinite-networks training-dynamics neural-tangents kernel-computation

Updated Apr 13, 2022
Jupyter Notebook

causalnex

quantumblacklabs / causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

data-science machine-learning bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex

Updated Mar 31, 2022
Python

kumar-shridhar / PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

Updated Feb 5, 2021
Python

microsoft / browsecloud

A web app to create and browse text visualizations for automated customer listening.

visualization nlp text-classification text-processing bayesian-networks counting-grids

Updated Apr 28, 2022
TypeScript

amidst / toolbox

A Java Toolbox for Scalable Probabilistic Machine Learning

data-science machine-learning bayesian-methods graphical-models bayesian-networks latent-variable-models streaming-data

Updated Dec 4, 2020
Java

paulgovan / BayesianNetwork

Bayesian Network Modeling and Analysis

r learning-algorithm network-measures bayesian-networks

Updated Mar 9, 2020
HTML

artiste-qb-net / quantum-fog

Python tools for analyzing both classical and quantum Bayesian Networks

quantum-computing bayesian-networks

Updated Mar 4, 2022
Jupyter Notebook

causalincentives / pycid

Library for graphical models of decision making, based on pgmpy and networkx

causality bayesian-networks influence-diagrams

Updated Feb 22, 2022
Jupyter Notebook

itsrainingdata / sparsebn

Software for learning sparse Bayesian networks

machine-learning r statistics regularization graphical-models bayesian-networks covariance-matrices experimental-data

Updated Sep 5, 2020
R

godai0519 / BayesianNetwork

An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.

c-plus-plus library bayesian-networks

Updated Aug 19, 2018
C++

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/))

machine-learning neural-network pytorch dropout bayesian-networks active-learning

Updated Sep 7, 2021
Jupyter Notebook

paulgovan / RiskNetwork

Risk Network Modeling and Analysis

r learning-algorithm network-measures bayesian-networks risk-networks

Updated Nov 10, 2016
R

bd2kccd / r-causal

R Wrapper for Tetrad Library

wrapper knowledge bayesian-networks causal-inference tetrad-library

Updated Apr 10, 2022
Java

ITMO-NSS-team / BAMT

Repository of a data modeling and analysis tool based on Bayesian networks

bayesian-networks structure-learning synthetic-data mixed-data parameters-learning

Updated Apr 4, 2022
Jupyter Notebook

MauroCE / PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

machine-learning statistics matlab bayesian-network bayesian-methods model-selection supervised-learning bayesian graphical-models bayesian-inference bayesian-networks bayesian-optimization bayesian-data-analysis bayesian-statistics bayesian-analysis bayesian-neural-networks markov-networks supervised-machine-learning supervised-learning-algorithms statistics-toolbox

Updated Aug 18, 2018
Python

dkesada / dbnR

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

time-series inference forecasting bayesian-networks dynamic-bayesian-networks

Updated Mar 22, 2022
R

hyu-ub / BayesNetBP

R package for inference in Bayesian networks.

network-inference bayesian-networks probabilistic-graphical-models conditional-gaussian

Updated Mar 12, 2021
R

larslorch / dibs

Joint Bayesian inference of graph and parameters of general Bayes nets

bayesian-inference bayesian-networks variational-inference causal-inference structure-learning

Updated Mar 18, 2022
Python

jluttine / junction-tree

The junction tree algorithm for (discrete) factor graphs

inference graphical-models factor-graphs bayesian-networks marginalization junction-trees clique-potentials

Updated Apr 23, 2022
Python

amirjamez / COBAYN

COBAYN: Compiler Autotuning Framework Using Bayesian Networks

machine-learning compilers datasets bayesian-networks compiler-optimizations automatic-tuning antarex eu-project

Updated Jan 23, 2019
MATLAB

breandan / markovian

Sponsor

🎲 A Kotlin DSL for probabilistic programming.

probabilistic-programming bayesian-networks probabilistic-graphical-models uncertainty-propagation probabilistic-circuits

Updated Apr 8, 2022
Java

felixleopoldo / benchpress

Open

Jaccard index

felixleopoldo commented Jan 20, 2021

Add the Jaccard index as an evaluation metric.

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enhancement good first issue

SAP / bayesian-network-builder

Domain specific language for modelling dynamic Bayesian networks and estimating posteriors

dsl bayesian-inference bayes bayesian-networks

Updated Aug 30, 2021
Scala

navreeetkaur / bayesian-network-learning

Learning Bayesian Network parameters using Expectation-Maximisation

bayesian-network artificial-intelligence expectation-maximization missing-data expectation-maximization-algorithm bayesian-networks bayes-network artificial-intelligence-algorithms bif bifextract expectation-maximisation-algorithm

Updated Jul 12, 2018
Python

Himscipy / bnn_hvd

Distributed Training of Bayesian Neural Networks at Scale

data-science machine-learning computer-vision tensorflow distributed-computing mnist uncertainty-quantification bayesian-networks variational-inference horovod tensorflow-probability

Updated May 26, 2020
Python

ogencoglu / causal_twitter_modeling_covid19

Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.

machine-learning social-media twitter sentiment-analysis graph-algorithms bayesian-networks causality-analysis causal-inference structure-learning health-informatics social-media-mining social-media-analysis covid-19 covid19

Updated Nov 14, 2020
Jupyter Notebook

cnavneet / AUTO-BOT

Self Driven Vehicle using AI in Robotics ,i.e., Kalman filters, A* algorithm, PID control, localization, etc.The basic functionality of this car is just to chase and catch the running away car just like cops. For this, the car is such designed that is takes all the desired steps on its own in order to catch the running away car safely on a high traffic lane.

machine-learning localization robotics machine-learning-algorithms astar-algorithm artificial-intelligence particle-filter artificial-neural-networks machine-learning-api bayesian-networks pid-control kalman-filter artificial-intelligence-algorithms

Updated Jan 16, 2018
Python

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