Benchmarking causal discovery methods

[NeurIPS22] MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

A novel method of score-based causal discovery using an adversarially trained neural causal model (NCM)

[INS 2022] Causality Detection with Matrix-based Transfer Entropy

Graphical Instrumental Variable Estimation and Testing

Implementation of "Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning" (JASA, 2023+)

Artificial Intelligence Notes (causal inference)

Personal notes about causal inference

linear causal discovery using continuous optimization method

Causal Discovery with Prior Knowledge

This repository focuses on advancing the process of causal graph generation by integrating the capabilities of Large Language Models (LLMs) and time-tested algorithms from causal theory.

Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

sample code for causal discovery by Lingam (with hidden variable).

Conditional Divergence based Causal Inference (CDCI) - CLeaR 2022

A virtual whiteboard so I don't forget the ideas that come to me

A nest of causal tools for building a full causal pipeline: from data treating, exploring to causal discovery and inference!

[NeurIPS 2024] Reproducible code for our article "Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems"

The causal discovery toolkit, related algorithms are derived from the matlab version, for ease of use, converted to the python version, so that non-professionals can also use it.

Recursive causal discovery with Julia

tPC - Causal discovery with temporal background