16 results found Sort:

915
6.9k
mit
136
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 ...
Created 2018-05-31
1,022 commits to main branch, last one 11 days ago
695
2.6k
mit
74
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Created 2013-09-20
2,970 commits to dev branch, last one 2 days ago
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
Created 2019-05-24
41 commits to master branch, last one 4 years ago
228
2.2k
apache-2.0
63
Fast and Easy Infinite Neural Networks in Python
Created 2019-04-08
650 commits to main branch, last one 3 months ago
255
2.2k
other
49
A Python library that helps data scientists to infer causation rather than observing correlation.
Created 2019-12-12
226 commits to develop branch, last one 4 months ago
A web app to create and browse text visualizations for automated customer listening.
Created 2019-06-12
41 commits to master branch, last one 3 years ago
35
119
apache-2.0
21
A Java Toolbox for Scalable Probabilistic Machine Learning
Created 2014-04-01
7,910 commits to master branch, last one 3 years ago
17
116
bsd-3-clause
9
Repository of a data modeling and analysis tool based on Bayesian networks
Created 2020-06-08
348 commits to master branch, last one 9 days ago
39
114
apache-2.0
12
Bayesian Network Modeling and Analysis
Created 2015-09-20
156 commits to master branch, last one 7 days ago
13
93
apache-2.0
8
Library for graphical models of decision making, based on pgmpy and networkx
Created 2020-02-20
685 commits to master branch, last one 9 months ago
19
81
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"
Created 2022-10-31
109 commits to main branch, last one 5 months ago
Python tools for analyzing both classical and quantum Bayesian Networks
Created 2015-11-29
136 commits to master branch, last one about a year ago
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
Created 2020-01-15
1,439 commits to master branch, last one 2 days ago
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Created 2021-08-17
68 commits to master branch, last one 4 months ago
4
35
bsd-3-clause
6
Online tool for Bayesian Networks
Created 2022-04-06
156 commits to main branch, last one 5 months ago