Alternatives and similar repositories for AB-Test-Early-Stopping

Users that are interested in AB-Test-Early-Stopping are comparing it to the libraries listed below

• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 5 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 5 months ago
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆79Updated 4 months ago
• transferwise / wise-pizza
  A library to find and visualise the most interesting slices in multidimensional data
  ☆111Updated 5 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• Scitator / RL-intro
  ☆23Updated 5 years ago
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆21Updated 11 months ago
• psarka / uplift
  ☆34Updated 6 years ago
• jgitr / opossum
  ☆17Updated 6 years ago
• konstantint / SKompiler
  A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)
  ☆175Updated 2 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• AdiVarma27 / pyAB
  Python package for Bayesian & Frequentist A/B Testing
  ☆12Updated 2 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆262Updated last year
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 6 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 3 years ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆31Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• Nth-iteration-labs / streamingbandit
  Python application to setup and run streaming (contextual) bandit experiments.
  ☆81Updated 2 weeks ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago