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1. CHAI-UK/Awesome-Time-Series-Causal-Discovery CHAI-UK/Awesome-Time-Series-Causal-Discovery Public

   A curated list of research papers, software tools, datasets, and resources for Time Series Causal Discovery (TSCD)

   7

2. tangentspaces tangentspaces Public

   [NeurIPS 2024] Reproducible code for our article "Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems"

   Python 6

3. 2024_attributions_paper 2024_attributions_paper Public

   Reproducible code for our paper "Explainable Learning with Gaussian Processes"

   MATLAB 3

4. joint_causation joint_causation Public

   Reproducible code for our paper "Measuring Strength of Joint Causal Effects", IEEE TSP 2024.

   MATLAB 2

5. DanWaxman/DAGMA-DCE DanWaxman/DAGMA-DCE Public

   [OJSP 2024] Code implementing the paper "DAGMA-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery"

   Jupyter Notebook 6 1

6. 2023-CCM-paper 2023-CCM-paper Public

   Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"

   MATLAB 6