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#

causality-algorithms

Here are 31 public repositories matching this topic...

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

  • UpdatedJun 28, 2025
  • Python

Causal discovery algorithms and tools for implementing new ones

  • UpdatedJul 10, 2025
  • Jupyter Notebook

Hyper-geometric computational causality for Rust

  • UpdatedNov 24, 2025
  • Rust
justcause

💊 Comparing causality methods in a fair and just way.

  • UpdatedMar 23, 2020
  • Jupyter Notebook

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

  • UpdatedJul 8, 2021
  • Python

causaleffect: R package for identifying causal effects.

  • UpdatedSep 19, 2025
  • TeX

Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024

  • UpdatedJul 1, 2024
  • Python

Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"

  • UpdatedAug 3, 2022
  • Jupyter Notebook

Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG":https://arxiv.org/abs/2102.13647.

  • UpdatedNov 2, 2023
  • Python

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.

  • UpdatedJul 8, 2022
  • Python

This R package is based on the work presented in A. Jérolon et al., "Causal mediation analysis in presence of multiple mediators uncausally related".The work allowing multiple mediation analyzes with a survival outcome was largely developed with Arce Domingo. This work is presented in Domingo-Relloso et al., "Causal mediation for uncausally relate

  • UpdatedJul 23, 2024
  • HTML

dosearch: R Package for Identifying General Causal Queries

  • UpdatedSep 26, 2025
  • R

Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.

  • UpdatedFeb 5, 2024
  • Python
tcb

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

  • UpdatedNov 5, 2025

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