❓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)

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

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

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

🧠 Causal Digital Twin for Marketing at Scale · Predict any marketing decision before you spend a dollar.

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.

End-to-End PyTorch implementation of Chang & Kim's (2026) iVDFM pipeline, Includes: amortized encoder, RegimeNet simplex embeddings, Laplace PriorNet, diagonal AR(p) companion-form dynamics, and injective MLP decoder. Trained via ELBO with reparameterized Laplace innovations. Benchmarked against iTransformer and TimeMixer baselines.

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

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

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