❓y0 (pronounced "why not?") is for causal inference in Python

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022

Generate dynamic structural causal models from biological knowledge graphs encoded in the Biological Expression Language (BEL)

Python project on Structural Causal Models and Reinforcement Learning, at Utrecht University.

[MM'2024] Efficient Dual-Confounding Eliminating for Weakly-supervised Temporal Action Localization

Temporal Causal-based Simulation (TCS)

Structural Causal Model (SCM) approach to explainable reinforcement learning

Code for presenting and evaluating search algorithms for actual causes identification

Code for the paper "Temporal Causal-based Simulation for Realistic Time-series Generation".

A causal inference-based portfolio optimization framework that models causal relationships between macro factors and asset clusters using DAGs.

Code for the python model `actualcauses` that implements algorithms for HP-causes identification.

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

Counterfactual inference for 3D brain imaging using deep structural causal models.