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Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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DawidPludowski/README.md

Hi 👋

I am a student of Data Science (Master degree).

💡 Currently working on:

  • Rethinking Encoder Warmstart, usage of tabular representation for Bayesian Opitmization (done, presented on Workshop track on AutoML24!!)
  • adaptivee, dynamic recommendation of optimal weights in ensembles (under review for TRL under Neurips... accepted on TRL@Neurips!!)
  • hellsemble, developed by student research group, Koło Naukowe AutoML
  • Anomaly detection in TS data (WIP)

📔 My interests:

  • AutoML
  • Tabular representations (e.g., D2V) and their usage in AutoML
  • XAI
  • Statistic in ML

👥 my affiliations:

  • MI2 lab (researcher/software engineer)
  • Warsaw University of Technology (Master studies)
  • Koło Naukowe AutoML (AutoML student research group)
  • Koło Naukowe Data Science (alumnus) (Data Science student research group)

📣 Reach me on:

Pinned Loading

  1. adaptivee adaptivee Public

    Adaptivee is an adaptive ensembler framework that assign models weights for each observation separately

    Jupyter Notebook

  2. azoz01/liltab azoz01/liltab Public

    Package for few-shot learning on tabular data

    Python 5 2

  3. azoz01/rethinking_encoder_warmstart azoz01/rethinking_encoder_warmstart Public

    Python 1

  4. MetaTunability MetaTunability Public

    Project to analyze dependencies between model's tunability and meta-data of task

    Python

  5. Kolo-Naukowe-Data-Science-PW/PoweR_2023 Kolo-Naukowe-Data-Science-PW/PoweR_2023 Public

    Materiały do warsztatów PoweR

    Jupyter Notebook 5 18

  6. KN-Modelowania-Matematycznego/hellsemble KN-Modelowania-Matematycznego/hellsemble Public

    Implementation of the hellsemble ensembling approach.

    Python 2