❓y0 (pronounced "why not?") is for causal inference in Python
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Updated
Dec 23, 2024 - Python
❓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.
Structural Causal Model (SCM) approach to explainable reinforcement learning
[MM'2024] Efficient Dual-Confounding Eliminating for Weakly-supervised Temporal Action Localization
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.
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