Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"

Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

[NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"

Multi-Instance Causal Representation Learning

Code Repository for SCM-VAE (IEEE Big Data)

A Survey on Causal Generative Modeling (TMLR 2024)

[NeurIPS 2024] Discovery of the Hidden World with Large Language Models

Análise do Impacto da Padronização de Markdown na Carga Cognitiva e Desempenho de Tarefas

These are listed papers from causal inference and causal representation learning in vision

mirror of the MeDIL Python package for causal modeling

Code Repository for ICM-VAE (IJCAI 2024)

Source code of manuscript: Kim. D. 2025. "Hand Drawing Image based Causal Representation Learning for Robust Parkinson’s Disease Feature Extraction and Detection". BioRxiv. pp. 1-11. https://doi.org/10.1101/2025.06.01.657220

This is a source code of manuscript: Kim D. 2024. "Graph Autoencoder and StrNN based Causal Analysis of Mortality in Heart Failure Patients". BioRxiv. DOI: https://doi.org/10.1101/2024.11.11.622921

This is a github soure code repository for manuscript: Kim D. 2025. "CVAE-based Causal Representation Learning from Retinal Fundus Images for Age Related Macular Degeneration(AMD) Prediction". BioRxiv. DOI: https://doi.org/10.1101/2025.02.13.638092