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    • .github

      Public
      0000Updated Nov 25, 2024Nov 25, 2024
    • N-N-BEATS

      Public
      Jupyter Notebook
      MIT License
      0000Updated Nov 25, 2024Nov 25, 2024
    • Python
      MIT License
      0000Updated Nov 17, 2024Nov 17, 2024
    • Jupyter Notebook
      MIT License
      0000Updated Jun 26, 2024Jun 26, 2024
    • template

      Public template
      Python
      MIT License
      1401Updated Jun 19, 2024Jun 19, 2024
    • Python
      MIT License
      1000Updated May 21, 2024May 21, 2024
    • Python
      MIT License
      1000Updated May 21, 2024May 21, 2024
    • n-beats-s

      Public
      Pytorch implementation of N-BEATS-S from the paper "Improving forecast stability using deep learning"
      Jupyter Notebook
      MIT License
      0100Updated May 21, 2024May 21, 2024
    • u-cmab

      Public
      Uplifted Contextual Multi-Armed Bandit
      Jupyter Notebook
      MIT License
      4000Updated May 21, 2024May 21, 2024
    • Python
      MIT License
      0000Updated May 17, 2024May 17, 2024
    • Python
      1100Updated May 15, 2024May 15, 2024
    • WOE2.0

      Public
      Code to reproduce the results in "Weight-of-evidence 2.0 with shrinkage and spline-binning"
      R
      MIT License
      1000Updated May 13, 2024May 13, 2024
    • Scripts for the paper "Timed Process Interventions: Causal Inference vs. Reinforcement Learning"
      Python
      MIT License
      1000Updated May 13, 2024May 13, 2024
    • R
      MIT License
      0000Updated May 13, 2024May 13, 2024
    • R
      MIT License
      0000Updated May 11, 2024May 11, 2024
    • MATLAB
      MIT License
      0000Updated May 11, 2024May 11, 2024
    • HydaLearn

      Public
      Python
      MIT License
      0000Updated May 11, 2024May 11, 2024
    • Python
      MIT License
      0000Updated Apr 20, 2024Apr 20, 2024
    • Jupyter Notebook
      0000Updated Apr 6, 2024Apr 6, 2024
    • Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".
      Python
      MIT License
      2000Updated Jan 5, 2024Jan 5, 2024
    • NOFLITE

      Public
      Code for the paper "NOFLITE: Learning to Predict Individual Treatment Effect Distributions"
      Python
      MIT License
      1000Updated Nov 9, 2023Nov 9, 2023
    • Repo for the fraud literature database presented and discussed in Bockel-Rickermann et al. (2023) - Fraud analytics: A decade of research
      MIT License
      1000Updated Jun 18, 2023Jun 18, 2023
    • TESAR-CDE

      Public
      Code for the paper "Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time" (ICML 2023)
      Python
      MIT License
      2000Updated Jun 8, 2023Jun 8, 2023
    • Instance-dependent cost-sensitive learning using lasso-regularized logistic regression and gradient boosted decision trees
      R
      2000Updated Sep 20, 2021Sep 20, 2021
    • Cost-sensitive learning for profit-driven credit-scoring
      2000Updated Feb 20, 2020Feb 20, 2020