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Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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DanWaxman/README.md

Hi, I'm Dan. I'm interested in Bayesian machine learning, particularly in dynamic environments. You can reach me at the email listed on this page!

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  1. BasisResearch/dynestyx BasisResearch/dynestyx Public

    An extension of NumPyro for first-class support of dynamical systems.

    Python 12

  2. MILSensors MILSensors Public

    [Bayesian Analysis 2025] A New Framework for Experimental Design with Digital Twins

    Python

  3. KurtButler/tangentspaces KurtButler/tangentspaces Public

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

    Python 5

  4. DAGMA-DCE DAGMA-DCE Public

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

    Jupyter Notebook 5 1

  5. FLlorente/DecentralizedOnlineGPs FLlorente/DecentralizedOnlineGPs Public

    Repository to the paper "Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems" to appear in ICASSP 2025"

    Python 2

  6. OnlineBayesianStacking OnlineBayesianStacking Public

    [TMLR 2026] Online Bayesian Ensembles via Online Optimization and Empirical Bayes

    Jupyter Notebook