Alternatives and similar repositories for tfcausalimpact

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

• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,046Updated last week
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 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.
  ☆960Updated last week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆665Updated this week
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆389Updated 3 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆795Updated 6 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆329Updated 2 years ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆72Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 10 months ago
• slavakx / medium_posts
  ☆89Updated 2 years ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆702Updated last week
• google / tfp-causalimpact
  ☆123Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆544Updated 2 years ago
• google / lightweight_mmm
  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…
  ☆1,000Updated 4 months ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆785Updated 4 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 4 months ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆494Updated last month
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆434Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆219Updated last month
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆640Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆384Updated last year
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆46Updated this week
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆2,007Updated 4 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆580Updated last year
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆346Updated last year