Alternatives and similar repositories for causal_playground:

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

• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 7 months ago
• Serena-TT / 36-methods-for-data-analysis
  ☆39Updated 3 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 4 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated last year
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆52Updated 3 years ago
• CausalAI / what-if
  教材 Causal Inference: What if 的编译和解读！
  ☆22Updated 4 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆107Updated 3 years ago
• shuyang-stat / multilevelMatching
  Propensity score Matching and Subclassification with 3 or more Treatments
  ☆20Updated 5 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• konosp / propensity-score-matching
  ☆103Updated 4 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 2 years ago
• frankhlchi / R-scorecard
  build scorecard with R
  ☆33Updated 8 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆82Updated 6 years ago
• jgitr / opossum
  ☆16Updated 5 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• rlirey / psmatching
  Propensity score matching in Python 3
  ☆26Updated last year
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 7 months ago
• wlattner / hete
  Heterogeneous Treatment Effects
  ☆16Updated 2 years ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆13Updated last month
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆79Updated 5 years ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆23Updated 3 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆24Updated 2 years ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆77Updated 3 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated last year
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago