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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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tsrobinson/README.md
  • 👋 Hi, I’m Tom!
  • 🌳 I am an Assistant Professor in the Department of Methodology at the London School of Economics
  • 🌱 I’m currently researching methodological issues surrounding deep learning models, experimental methods, causal inference, and missing data.
  • 📫 You can reach me at t.robinson7[at]lse.ac.uk

Pinned Loading

  1. MIDASverse/MIDASpy MIDASverse/MIDASpy Public

    Python package for missing-data imputation with deep learning

    Python 138 37

  2. MIDASverse/rMIDAS MIDASverse/rMIDAS Public

    R package for missing-data imputation with deep learning

    Python 33 5

  3. SyGNet SyGNet Public

    Synthetic data using Generative Adversarial Networks

    Python 11 2

  4. cjbart cjbart Public

    Heterogeneous effects analysis of conjoint experiments using BART

    R 9

  5. 10EconometricTheorems 10EconometricTheorems Public

    Guide to fundamental econometric theorems listed by J. Wooldridge

    TeX 33 19

  6. make-a-LISP make-a-LISP Public

    My own LISP interpreter (built from scratch using mal)

    Python 1