18 results found Sort:

py-why
dowhy py-why
935
7.1k
mit
138
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 ...
python3 causality do-calculus data-science causal-models causal-inference graphical-models machine-learning bayesian-networks treatment-effects causal-machine-learning
Created 2018-05-31
1,056 commits to main branch, last one a day ago
pgmpy
pgmpy pgmpy
716
2.7k
mit
75
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
python inference simulations causal-discovery causal-inference bayesian-networks structure-learning causal-identification
Created 2013-09-20
3,024 commits to dev branch, last one 9 days ago
afshinea
stanford-cs-221-artificial-intelligence afshinea
503
2.6k
mit
84
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
a-star cheatsheet data-science bayesian-networks artificial-intelligence markov-decision-processes constraint-satisfaction-problem
Created 2019-05-24
41 commits to master branch, last one 4 years ago
google
neural-tangents google
226
2.3k
apache-2.0
62
Fast and Easy Infinite Neural Networks in Python
jax kernel deep-networks gradient-flow neural-networks neural-tangents gradient-descent bayesian-networks infinite-networks training-dynamics bayesian-inference gaussian-processes kernel-computation
Created 2019-04-08
650 commits to main branch, last one 8 months ago
mckinsey
causalnex mckinsey
258
2.2k
other
51
A Python library that helps data scientists to infer causation rather than observing correlation.
causalnex data-science causal-models causal-networks causal-inference machine-learning bayesian-networks bayesian-inference
Created 2019-12-12
226 commits to develop branch, last one 9 months ago
kumar-shridhar
PyTorch-BayesianCNN kumar-shridhar
325
1.4k
mit
31
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes python pytorch pytorch-cnn bayesian-network bayes-by-backprop bayesian-convnets bayesian-networks image-recognition variational-bayes bayesian-inference bayesian-statistics variational-inference bayesian-deep-learning aleatoric-uncertainties bayesian-neural-networks convolutional-neural-networks
Created 2018-07-27
308 commits to master branch, last one 3 years ago
microsoft
browsecloud microsoft
20
148
mit
10
A web app to create and browse text visualizations for automated customer listening.
nlp visualization counting-grids text-processing bayesian-networks text-classification
This repository has been archived (exclude archived)
Created 2019-06-12
41 commits to master branch, last one 3 years ago
aimclub
BAMT aimclub
17
120
bsd-3-clause
10
Repository of a data modeling and analysis tool based on Bayesian networks
mixed-data synthetic-data bayesian-networks structure-learning parameters-learning
Created 2020-06-08
364 commits to master branch, last one 23 days ago
amidst
toolbox amidst
35
119
apache-2.0
21
A Java Toolbox for Scalable Probabilistic Machine Learning
data-science streaming-data bayesian-methods graphical-models machine-learning bayesian-networks latent-variable-models
Created 2014-04-01
7,910 commits to master branch, last one 3 years ago
paulgovan
BayesianNetwork paulgovan
38
118
apache-2.0
11
Bayesian Network Modeling and Analysis
r network-measures bayesian-networks learning-algorithm
Created 2015-09-20
174 commits to master branch, last one 3 months ago
kevinsbello
dagma kevinsbello
19
102
apache-2.0
3
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"
dags neurips-2022 causal-discovery graphical-models bayesian-networks structure-learning
Created 2022-10-31
109 commits to main branch, last one 9 months ago
causalincentives
pycid causalincentives
13
96
apache-2.0
7
Library for graphical models of decision making, based on pgmpy and networkx
causality bayesian-networks influence-diagrams
Created 2020-02-20
685 commits to master branch, last one about a year ago
artiste-qb-net
quantum-fog artiste-qb-net
25
79
other
14
Python tools for analyzing both classical and quantum Bayesian Networks
bayesian-networks quantum-computing
Created 2015-11-29
136 commits to master branch, last one about a year ago
felixleopoldo
benchpress felixleopoldo
17
64
gpl-2.0
5
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
causality benchmarking causal-models markov-networks causal-discovery graphical-models machine-learning bayesian-networks snakemake-workflow structure-learning reproducible-research
Created 2020-01-15
1,445 commits to master branch, last one about a month ago
dkesada
dbnR dkesada
11
47
gpl-3.0
5
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
inference forecasting time-series bayesian-networks dynamic-bayesian-networks
Created 2019-10-14
303 commits to master branch, last one 4 months ago
larslorch
dibs larslorch
11
45
mit
4
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
causal-inference bayesian-networks bayesian-inference structure-learning variational-inference
Created 2021-08-17
68 commits to master branch, last one 8 months ago
davenza
PyBNesian davenza
10
40
mit
2
PyBNesian is a Python package that implements Bayesian networks.
python bayesian-networks kernel-density-estimation
Created 2020-04-29
422 commits to master branch, last one about a month ago
aimclub
Web-BAMT aimclub
4
36
bsd-3-clause
6
Online tool for Bayesian Networks
bayesian-networks
Created 2022-04-06
156 commits to main branch, last one 9 months ago