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Studying
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Studying
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ImJaeSung/README.md

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👋 Welcome my github !



✍🏻 Education ✍🏻 (Papers)

  • M.S in Statistics and Data Science, University of Seoul Mar.2024 - (Optim-Lab : 👨🏻‍🏫)
  • B.S in Statistics, University of Seoul Mar.2018 - Feb.2024
  • B.S in Economics (Bi-major), University of Seoul Mar.2018 - Feb.2024


Interested in

  • Tabular Data Domain
  • Missing Data Imputation
  • Synthetic Data Generation
  • Variational AutoEncoder


📋 Once I've Used


Top Langs


💻 Study log 💻



📞 Contact 📞

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  1. BDA_competition_2023 Public

    MOMA팀 BDA 공모전 준비를 위한 저장소입니다.

    Python

  2. KB_AIchallenge Public

    The repository for KB 6th Future Finance A.I. Challenge.

    Python 1

  3. Imputers Public

    Implementation of Missing Imputation algorithms for Incomplete tabular data with PyTorch.

    Python 2

  4. MaCoDE Public

    Forked from an-seunghwan/MaCoDE

    Official implementation of 'Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis' (MaCoDE) with pytorch (AAAI 2025 accepted paper).

    Jupyter Notebook