18 results found Sort:

py-why
dowhy py-why
935
7.1k
mit
139
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
1,059 commits to main branch, last one 19 hours ago
pgmpy
pgmpy pgmpy
716
2.8k
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
3,028 commits to dev branch, last one a day ago
afshinea
stanford-cs-221-artificial-intelligence afshinea
506
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
324
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
9
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
121
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 about a month ago
paulgovan
BayesianNetwork paulgovan
38
119
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
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
kevinsbello
dagma kevinsbello
19
103
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 10 months ago
causalincentives
pycid causalincentives
13
97
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
1,446 commits to master branch, last one 13 days ago
dkesada
dbnR dkesada
11
48
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 5 months ago
larslorch
dibs larslorch
11
46
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
41
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 2 months 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 10 months ago