Alternatives and similar repositories for causal_playground

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

• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 6 months ago
• frankhlchi / R-scorecard
  build scorecard with R
  ☆33Updated 8 years ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 9 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 5 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 5 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• Serena-TT / 36-methods-for-data-analysis
  ☆41Updated 4 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆54Updated 8 years ago
• CausalAI / what-if
  教材 Causal Inference: What if 的编译和解读！
  ☆27Updated 5 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 9 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆54Updated 4 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 5 years ago
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆41Updated 5 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 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
  ☆24Updated 3 years ago
• taiyun / Optimization-using-R
  A Chinese document about optimization using R
  ☆28Updated 4 years ago
• jgitr / opossum
  ☆17Updated 6 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
  ☆84Updated 7 years ago
• dselivanov / kaggle-outbrain
  Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…
  ☆20Updated 8 years ago
• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆241Updated 2 years ago
• rlirey / psmatching
  Propensity score matching in Python 3
  ☆27Updated 2 years ago
• feng-li / Distributed-Statistical-Computing
  Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
  ☆108Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆118Updated 4 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆159Updated 4 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 6 years ago
• konosp / propensity-score-matching
  ☆105Updated 4 years ago
• qxde01 / myRproj
  一些关于R使用的练习和想法
  ☆45Updated 7 years ago
• gizemt / CausalRecommendation
  Causal inference for recommendation
  ☆25Updated 6 years ago
• threecifanggen / lambda-and-tau
  My blog about data and coding
  ☆18Updated 4 years ago