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bayesian-networks

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microsoft / dowhy

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KeyError: 'label' error message could be more clear

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lgmoneda commented Dec 3, 2018

When you miss declaring a node in your causal graph, it's going to throw a KeyError: 'label' error. It could be more explicit to make debugging easier. I think it would be nice to inform what is the node hough used in the graph.

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enhancement good first issue

afshinea / stanford-cs-221-artificial-intelligence

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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

pgmpy / pgmpy

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

python statistics statistical-inference bayesian-networks probabilistic-graphical-models causal-inference structure-learning

Updated Aug 7, 2021
Python

google / neural-tangents

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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 Jun 29, 2021
Jupyter Notebook

causalnex

quantumblacklabs / causalnex

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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 Aug 2, 2021
Python

kumar-shridhar / PyTorch-BayesianCNN

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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

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

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

Updated Aug 4, 2021
TypeScript

amidst / toolbox

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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

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Bayesian Network Modeling and Analysis

r learning-algorithm network-measures bayesian-networks

Updated Mar 9, 2020
HTML

artiste-qb-net / quantum-fog

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Python tools for analyzing both classical and quantum Bayesian Networks

quantum-computing bayesian-networks

Updated Mar 7, 2021
Jupyter Notebook

itsrainingdata / sparsebn

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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

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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

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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 Jun 8, 2021
Jupyter Notebook

paulgovan / RiskNetwork

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Risk Network Modeling and Analysis

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

Updated Nov 10, 2016
R

bd2kccd / r-causal

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R Wrapper for Tetrad Library

wrapper knowledge bayesian-networks causal-inference tetrad-library

Updated Jan 3, 2021
Java

MauroCE / PythonBRMLtoolbox

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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

amirjamez / COBAYN

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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

hyu-ub / BayesNetBP

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R package for inference in Bayesian networks.

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

Updated Mar 12, 2021
R

dkesada / dbnR

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

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

Updated Jul 23, 2021
R

jluttine / junction-tree

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The junction tree algorithm for (discrete) factor graphs

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

Updated Mar 20, 2021
Python

ITMO-NSS-team / BAMT

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

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

Updated Jul 21, 2021
Jupyter Notebook

oh2gxn / nip

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Dynamic Bayesian Network library

c library dynamic bayesian-networks

Updated Dec 5, 2017
C

ogencoglu / causal_twitter_modeling_covid19

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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

breandan / markovian

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🎲 A Kotlin DSL for probabilistic programming.

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

Updated Jul 28, 2021
Java

sfu-cl-lab / FactorBase

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The source code repository for the FactorBase system

bayesian-network mysql-database relational-databases relational-database factor-graphs bayesian-networks structure-learning log-linear-model relational-learning big-model markov-logic-network mln relational-dependency-network rdn bif

Updated Jun 10, 2021
Java

klgraham / watershed

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Probability distributions in Clojure

clojure pgm probabilistic-programming bayesian-networks probabilistic-graphical-models

Updated Jan 25, 2018
Clojure

cnavneet / AUTO-BOT

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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

navreeetkaur / bayesian-network-learning

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Learning Bayesian Network parameters using Expectation-Maximisation

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Updated Jul 12, 2018
Python

Himscipy / bnn_hvd

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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

hayesall / awesome-bayes-nets

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⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.

machine-learning awesome awesome-list bayes bayesian-networks probabilistic-graphical-models

Updated Jun 9, 2021
Python

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