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scikit-uplift

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sundar139 / Causal-Uplift-Transformer-Beam

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Production-grade causal uplift modeling on 14M rows, benchmarks S-Learner, T-Learner, and FT-Transformer challengers on the Criteo dataset, with Optuna tuning, MLflow tracking, FastAPI + Docker + Google Cloud Run serving, and a Streamlit dashboard.

python docker hyperparameter-tuning causal-inference uplift-modeling mlflow github-actions fastapi optuna google-cloud-run criteo-dataset streamlit s-learner t-learner treatment-effect ft-transformer champion-challenger qini-auc scikit-uplift
  • Updated May 4, 2026
  • Python

hashtro9-rgb / uplift-modeling

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Uplift modeling / causal marketing on a 64,000-customer randomized email trial: who visits BECAUSE of the email, not just who visits. S-/T-Learner + class-transformation models evaluated by Qini/AUUC; targeting the top uplift decile cuts ~30% of sends. Live interactive dashboard.

python data-science machine-learning data-visualization ab-testing causal-inference uplift-modeling marketing-analytics scikit-uplift
  • Updated Jul 19, 2026
  • Python

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