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10 search results found

Awesome Causality Algorithms ⭐ 2,558

An index of algorithms for learning causality with data

YLearn, a pun of "learn why", is a python package for causal inference

A resource list for causality in statistics, data science and physics

Justcause ⭐ 58

💊 Comparing causality methods in a fair and just way.

Network Deconfounder Wsdm20 ⭐ 35

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Causaleffect ⭐ 23

causaleffect: R package for identifying causal effects.

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Genome_integration ⭐ 8

MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

cfid: R package for identifying counterfactuals.

dosearch: R Package for Identifying General Causal Queries

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