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18 search results found

Awesome Causality Algorithms ⭐ 2,558

An index of algorithms for learning causality with data

Eliot ⭐ 1,074

Eliot: the logging system that tells you *why* it happened

Bnlearn ⭐ 406

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

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

Python package for causal discovery based on LiNGAM.

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

Deep_causality ⭐ 106

Hyper-geometric computational causality library for Rust

Justcause ⭐ 58

💊 Comparing causality methods in a fair and just way.

Causing: CAUsal INterpretation using Graphs

Causalpath ⭐ 27

A project for exploring differentially active signaling paths related to proteomics datasets

Tigramite_old ⭐ 25

Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://arxiv.org/abs/1702.07007 is available at https://github.com/jakobrunge/tigramite!

Nonlincausality ⭐ 20

Python package for Granger causality test with nonlinear forecasting methods.

Vlog_action_reason ⭐ 17

Identifying reasons for human actions in lifestyle vlogs.

Mendelian Randomization with Biomarker Associations for Causality with Outcomes

Causal_twitter_modeling_covid19 ⭐ 5

Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.

Causal Inference Using Quasi Experimental Methods ⭐ 5

Causal Inference Using Quasi-Experimental Methods

Dimensional_causality ⭐ 5

This project contains the implementation of the Dimensional Causality method proposed in Benko, Zlatniczki, Fabo, Solyom, Eross, Telcs & Somogyvari (2018) - Exact Inference of Causal Relation in Dynamical Systems.

Causal_relation_extraction ⭐ 5

Causal Relation Extraction and Identification using Conditional Random Fields

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