A Python package for the statistical analysis of A/B tests
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Mar 5, 2026 - Python
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因果推理&AB实验相关论文小书库
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Mar 12, 2023
Theory and implementatuon of various A/B experiments
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Jun 9, 2020 - Jupyter Notebook
AB testing, stattests, poisson bootstrap, cuped, linearization
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Apr 23, 2023 - Jupyter Notebook
Independent validation suite for Zetyra statistical calculators. 169 tests across GSD, CUPED, and Bayesian Toolkit — benchmarked against gsDesign, scipy, conjugate priors, and published trials (HPTN 083, HeartMate II, REBYOTA).
python r monte-carlo fda biostatistics clinical-trials bayesian sample-size prior-elicitation gsdesign cuped group-sequential-designs statistical-validation bayesian-toolkit
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Mar 4, 2026 - Python
A/B testing statistics, design, increasing sensitivity, multiple experiments comparison, traffic splitting and full A/B testing pipeline in Python
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Sep 9, 2023 - Jupyter Notebook
An experimental Python library for advanced A/B testing analysis, leveraging statistical techniques and ML for deeper insights.
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May 24, 2024 - Python
Тыкаюсь в темах интенсива A/B-week от ШАДа
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Aug 13, 2025 - Jupyter Notebook
End-to-end A/B experimentation toolkit: experiment readouts, MDE & power calculations, CUPED variance reduction, and decision-focused reporting in a Big Tech economist style.
python econometrics experimentation ab-testing causal-inference mde power-analysis cuped big-tech-economist
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Jan 14, 2026 - HTML
Production A/B testing framework with Budget A/B, CUPED variance reduction, and sequential testing - DoorDash methodology
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Feb 1, 2026 - Python
Educational projects on online experiments
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Aug 8, 2024 - Jupyter Notebook
A/B test lift simulation & analysis in Python: CUPED variance reduction, power analysis, and guardrail metrics with reproducible pytest CI.
python statistics pandas pytest scipy experimentation ab-testing srm causal-inference power-analysis github-actions cuped
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Nov 16, 2025 - Python
Beauty & skincare supply chain AI platform. Social signal-aware demand forecasting (MAPE 12%), CUPED A/B testing (55% variance reduction), X-Learner uplift (AUUC 0.74), DoWhy causal inference, 5 SQL analytics pipelines, MLflow + Evidently MLOps, SHAP/LIME explainability, 120+ tests.
python docker supply-chain xgboost lightgbm ab-testing hypothesis-testing causal-inference demand-forecasting uplift-modeling hierarchical-forecasting mlflow feature-store shap cuped pandera dowhy drift-monitoring evidently sql-analytics
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Mar 3, 2026 - Python
Modern A/B experimentation utilities: CUPED/CUPAC hooks, triggered analysis, SRM, switchback helpers, and power sims.
python statistics experimentation ab-testing srm causal-inference variance-reduction power-analysis cuped switchback
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Jan 5, 2026 - Python
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