Alternatives and similar repositories for pscore_match:

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

• konosp / propensity-score-matching
  ☆103Updated 4 years ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆152Updated 5 years ago
• benmiroglio / pymatch
  ☆283Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated last year
• rlirey / psmatching
  Propensity score matching in Python 3
  ☆26Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆239Updated 4 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
• 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
• laurencium / Causalinference
  Causal Inference in Python
  ☆564Updated 4 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 4 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆280Updated 10 months ago
• zhouyonglong / Multi-Channel-Attribution
  Multi Channel Attribution
  ☆10Updated 8 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆346Updated last year
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆437Updated 4 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆107Updated 3 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 4 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆45Updated last year
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆223Updated last year
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• yishilin14 / causal_playground
  ☆17Updated 5 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 11 months ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated last year
• manifoldai / merf
  Mixed Effects Random Forest
  ☆225Updated 8 months 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
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year