GitHub topics: do-calculus
py-why/dowhy
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 models and potential outcomes frameworks.
Language: Python - Size: 704 MB - Last synced at: 1 day ago - Pushed at: 8 days ago - Stars: 7,497 - Forks: 961
realrate/Causing
Causing: CAUsal INterpretation using Graphs
Language: Python - Size: 4.68 MB - Last synced at: 3 days ago - Pushed at: 17 days ago - Stars: 58 - Forks: 9
msuzen/research
Memo's research works.
Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1
planplus/causality_zh
"Causality: Models, Reasoning, and Inference-Judea Pearl(2009)"中文翻译及学习笔记
Language: JavaScript - Size: 1.58 MB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 4
bradendubois/do-calculus
A Python implementation of the do-calculus of Judea Pearl et al.
Language: Python - Size: 5.17 MB - Last synced at: 12 days ago - Pushed at: about 3 years ago - Stars: 27 - Forks: 2
rtahmasbi/Doubly-Gaussian-DAG-Probit
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models
Language: R - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
andrewheiss/closing-backdoors-dags
Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
Size: 452 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 4
aliash98/BPM_CausalReasoning
This repository contains an implementation of BP-CDM introduced in "Data-Driven Decision Support for Business Processes: Causal Reasoning on Interventions".
Language: Jupyter Notebook - Size: 383 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1
JarodYv/pytetrad
A Powerful Python Library for Causal Inference
Language: Python - Size: 1.67 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1
jaryaman/causal-inference-cheat-sheet
Summary of useful results in Causal Inference
Language: TeX - Size: 19 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 0
rikhuijzer/Causality.jl
Automatically determine whether a causal effect is identifiable
Language: Julia - Size: 87.9 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
