A Python package for the statistical analysis of A/B tests
cuped 开源项目推荐(98 个)
cuped 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
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按 Star 数排序展示前 20 个 · GitHub 共 98 个仓库因果推理&AB实验相关论文小书库
Causalis - State-of-the-art robust causal inference for experiments and observational data in python
Theory and implementatuon of various A/B experiments
AB testing, stattests, poisson bootstrap, cuped, linearization
Calibration-driven A/B testing toolkit: SRM, CUPED/CUPAC, delta-method ratio metrics, sequential and Bayesian methods, each validated by tests.
Monte Carlo audit of CUPED variance reduction and post-treatment bad controls
A/B testing statistics, design, increasing sensitivity, multiple experiments comparison, traffic splitting and full A/B testing pipeline in Python
Синтетические A/B-эксперименты: CUPED, взвешенные оценки, bias и покрытие интервалов.
896 tests / 42 scripts validating Zetyra calculators (GSD, CUPED, Bayesian, SSR incl. Single-Arm, RAR, Master Protocol). Replicates 8 published trials (Salk, DAPA-HF, PACIFIC, MONALEESA-7, I-SPY 2, STAMPEDE, REMAP-CAP, NCT03377023) + Leyrat 2024.
A/B testing engine: frequentist + Bayesian + CUPED variance reduction + peeking-safe sequential testing
A/B testing engine with always-valid sequential inference (mSPRT) — peek continuously without inflating false positives. CUPED variance reduction, SRM detection, guardrails. FastAPI + React.
End-to-end A/B test analysis on real experiments: a 64,000-customer e-mail test taken from analysis plan to rollout, and 22,743 Upworthy headline tests read as a testing programme. Demonstrates pre-registration, sample-ratio checks, CUPED-style adjustment, sizing a test and its holdback, the winner’s curse, and stakeholder communication.
Тыкаюсь в темах интенсива A/B-week от ШАДа
A Python package for the full A/B test lifecycle, from power analysis to sequential monitoring and variance reduction
RetailLab: should a retailer keep sending its marketing e-mail? Prices a 64k-customer randomized experiment at sector margins into Ship / Don't Ship / Keep Testing / Don't Trust.
An end-to-end A/B testing program review: 6 experiments, 2 ships, and the decision-quality framework behind them
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.
A/B test readout for a UPI cashback: power, SRM root-cause, CUPED, Holm-corrected segments, novelty, guardrails and an ROI rollout decision
A/B test analysis toolkit: power analysis, CUPED variance reduction, SRM detection, guardrail metrics
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/cuped。
- 该话题在 GitHub 上共有 98 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 647 Star,覆盖 3 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。