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

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a11to1n3/README.md

Anh-Duy Pham

Machine learning researcher · Berlin

Website · LinkedIn · Google Scholar · Email

I work on graph-based time series forecasting, agent-based modelling, and generative deep learning.

I am a contributor to AutoGluon — Amazon’s open-source AutoML library — working on tabular models, training correctness, time-series pipelines, and packaging.

Now

  • Contributing to AutoGluon (tabular neural nets, grouped validation, time-series covariates)
  • Building AMBER, a columnar high-performance ABM framework in Python

Selected work

  • AMBER — Polars-backed agent-based modelling; much faster than object-per-agent baselines (paper)
  • LimeSoDa — soil ML benchmark datasets (Geoderma)
  • DemandBench — demand time-series forecasting datasets
  • CliMaPan-Lab — climate–pandemic economic modelling

Pinned Loading

  1. LimeSoDa LimeSoDa Public

    Precision Liming Soil Datasets (LimeSoDa) for Python

    Python 7

  2. tsem tsem Public

    Implementation of TSEM: Temporally-Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series, in Pytorch

    Python 3

  3. CliMaPan-Lab CliMaPan-Lab Public

    Climate-Pandemic Economic Modeling Laboratory

    Python 1

  4. AMBER AMBER Public

    AMBER (Agent-based Modeling with Blazingly Efficient Records)

    Python 3

  5. vietngth/ph-ensemble-gnn vietngth/ph-ensemble-gnn Public

    Python 9

  6. DemandBench DemandBench Public

    Demand Time Series Forecasting Collection of Datasets

    Python 1