Alternatives and similar repositories for reducing-variance-ab-tests

Users that are interested in reducing-variance-ab-tests are comparing it to the libraries listed below

• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 3 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated 3 months ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• klarsen1 / MarketMatching
  ☆135Updated last year
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆51Updated 4 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆28Updated last year
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆42Updated 4 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆53Updated 3 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• MatCyt / Markov-Chain
  R based marketing attribution and basic budget optimization using Markov Chains
  ☆52Updated 5 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• asbates / bayes-time-series
  ☆27Updated 6 years ago
• gregberns / ABTesting
  Papers and Resources on running A/B Experiments
  ☆90Updated 3 years ago
• MustafaOguz / Survival_Analysis
  Survival Analysis with non-parametric, semi-parametric, and parametric models
  ☆39Updated 7 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 years ago
• konosp / propensity-score-matching
  ☆103Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• convoyinc / abayes
  Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
  ☆20Updated 7 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆28Updated 6 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago