causal-networks · GitHub Topics

mckinsey / causalnex

#计算机科学#A Python library that helps data scientists to infer causation rather than observing correlation.

causal-inference causal-models causal-networks bayesian-networks bayesian-inference 机器学习数据科学 causalnex

Python 2.33 k

1 年前

erdogant / bnlearn

#计算机科学#Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

bayesian-inference sampling-methods dag directed-acyclic-graph causal-models causal-networks 机器学习 Python

Jupyter Notebook 522

24 天前

msuzen / looper

#计算机科学#A resource list for causality in statistics, data science and physics

统计 statistical-inference bayesian-inference causality 数据科学 Physics 机器学习 causal-inference meta-learning causal-models causal-networks causal-discovery

264

6 天前

nredell / shapFlex

#计算机科学#An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

shapley ensemble 机器学习 package R feature-importance interpretable-machine-learning r-package shap causality causal-inference causal-networks

R 75

5 年前

realrate / Causing

Causing: CAUsal INterpretation using Graphs

causal-networks dag graph-theory do-calculus neural-networks derivatives automatic-differentiation Python PyTorch graphs gnn

Python 58

11 天前

drug2ways / drug2ways

A Python package for drug discovery by analyzing causal paths on multiscale networks

drug-discovery causal-networks Bioinformatics 软件

Python 27

1 年前

tjohnson250 / overview_causal_inference

A Brief Overview of Causal Inference (xaringan presentation)

slides causal-inference causal-models causality causal-networks xaringan R

HTML 20

5 年前

enveda / RPath

Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"

knowledge-graph causal-networks drug-discovery transcriptomics

Jupyter Notebook 19

1 年前

TheoLvs / causal-reinforcement-learning

Experiments on Causality & Reinforcement Learning

causality reinforcement-learning causal-inference causal-networks

Jupyter Notebook 10

5 年前

csquires / dci

Code and figures for the Differential Causal Inference (DCI) algorithm

causal-inference causal-models causal-networks

Jupyter Notebook 8

6 年前

tr7200 / CBNN_SEM_loss_convergence

Code accompanying my 2021 ASA SDSS paper

causal-inference causality causal-models causal-networks 神经网络 neural-networks directed-acyclic-graph merchandising tensorflow-probability

Python 5

3 年前

schucan / CLD

A super light-weight web app to create causal loop diagrams (CLD) online. This is useful in Systems Thinking and System Dynamics.

causal-models causal-networks Web app

JavaScript 4

1 年前

serkd / app

Análise Robusta de Intervenções para Ansiedade com Técnicas de Tratamento de Dados Ausentes

causal-networks emotion-recognition shap 数据可视化 explainable-ai predictive-analytics

Jupyter Notebook 4

4 个月前

jabowery / HumesGuillotine

Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

causal-discovery causal-inference causal-models causal-networks causality

6 个月前

drug2ways / results

Applications and validation analyses shown in the manuscript

Bioinformatics causal-networks drug-discovery

Jupyter Notebook 3

5 年前

causalitas / causalitas.github.io

#计算机科学#Causality reading group

causality causal-inference 机器学习 causal-networks causal-models academic

CSS 3

7 年前

paulgovan / PRA

Project Risk Analysis

causal-networks risk-analysis R

R 2

2 个月前

Ariel-Flint-Ashery / Causal-DAGs

Investigation of network geometry and percolation in directed acyclic graphs (MSci Thesis). Maintained by Ariel Flint Ashery and Kevin Teo. Supervisor: Timothy Evans

causal-networks directed-acyclic-graph networks

Python 1

2 年前