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
• benmiroglio / pymatch
  ☆287Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆63Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• rlirey / psmatching
  Propensity score matching in Python 3
  ☆26Updated last year
• zhouyonglong / Multi-Channel-Attribution
  Multi Channel Attribution
  ☆10Updated 8 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆68Updated 2 weeks ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆441Updated last month
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆71Updated 4 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
  ☆83Updated 6 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆110Updated 4 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆347Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 5 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆225Updated last year
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 7 years ago
• ijmbarr / reducing-variance-ab-tests
  Some notes on techniques for variance reduction to increase the power of A/B tests
  ☆14Updated 6 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆285Updated last year
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated 2 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆373Updated 2 years ago
• MustafaOguz / Survival_Analysis
  Survival Analysis with non-parametric, semi-parametric, and parametric models
  ☆38Updated 6 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆45Updated 2 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago