Alternatives and similar repositories for abyes:

Users that are interested in abyes are comparing it to the libraries listed below

• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago
• shansfolder / AB-Test-Early-Stopping
  Evaluation of early stopping algorithms in A/B testing
  ☆17Updated 7 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆114Updated 8 months ago
• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆58Updated 2 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 6 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆20Updated 3 months ago
• eeghor / mta
  Multi-Touch Attribution
  ☆110Updated 2 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated last year
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆73Updated 3 months ago
• Volodymyrk / stats-testing-in-python
  collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial
  ☆59Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆279Updated 8 months ago
• jdmaturen / shifted_beta_geometric_py
  An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)
  ☆56Updated 4 years ago
• DavisTrey / ExperimentationResources
  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
  ☆153Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆343Updated last year
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆168Updated 5 months ago
• criteo-research / bandit-reco
  ☆50Updated 4 years ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆29Updated 3 years ago
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆71Updated last year
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆57Updated 3 years ago
• ijmbarr / reducing-variance-ab-tests
  Some notes on techniques for variance reduction to increase the power of A/B tests
  ☆14Updated 5 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆40Updated 3 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 6 years ago