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)

[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

A Survey on Causal Generative Modeling (TMLR 2024)

Code Repository for ICM-VAE (IJCAI 2024)