Causal discovery algorithms and tools for implementing new ones
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Updated
Jan 20, 2025 - Jupyter Notebook
Causal discovery algorithms and tools for implementing new ones
The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
Active Bayesian Causal Inference (Neurips'22)
Knowledge-Augmented Language Models for Cause-Effect Relation Classification https://arxiv.org/abs/2112.08615
Official implementation of "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships", NeurIPS 2023.
evaluating the causal strength between cause and effect
CONCR: A Contrastive Learning Framework for Causal Reasoning
[JNE] Journal of Neural Engineering
An interactive shiny app for drawing DAGs tailored to confounding adjustment and transportability analyses
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