Alternatives and similar repositories for ExperimentationResources

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

• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆220Updated last month
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 years ago
• google / GeoexperimentsResearch
  An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …
  ☆140Updated 6 years ago
• google / matched_markets
  Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
  ☆92Updated 2 months ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆390Updated 3 years ago
• station-10 / awesome-marketing-machine-learning
  A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…
  ☆123Updated last year
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆68Updated 2 years ago
• spotify / confidence
  ☆275Updated 11 months ago
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆84Updated last year
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• ewharton / ab-testing-resources
  ☆87Updated last year
• DP6 / Marketing-Attribution-Models
  Python Class created to address problems regarding Digital Marketing Attribution.
  ☆340Updated last month
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• allenchng / exp-readings
  A collection of resources for experimentation
  ☆74Updated 3 years ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆72Updated 2 years ago
• klarsen1 / MarketMatching
  ☆136Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆655Updated 9 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆329Updated 2 years ago
• bookingcom / powercalculator
  Calculator to define runtime of experiments
  ☆89Updated 2 years ago
• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆969Updated this week
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• gregberns / ABTesting
  Papers and Resources on running A/B Experiments
  ☆91Updated 4 years ago
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆79Updated 5 months ago
• google / lightweight_mmm
  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…
  ☆1,002Updated 4 months ago
• google / tfp-causalimpact
  ☆125Updated last year
• ronikobrosly / awesome-data-leadership
  A curated list of awesome posts, videos, and articles on leading a data team (small and large)
  ☆543Updated last year
• facebookincubator / LTVision
  LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …
  ☆96Updated 5 months ago
• slavakx / medium_posts
  ☆90Updated 2 years ago