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?

Multi-Instance Causal Representation Learning

Code Repository for SCM-VAE (IEEE Big Data)

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

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)