Alternatives and similar repositories for pscore_match

Users that are interested in pscore_match 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
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• konosp / propensity-score-matching
  ☆104Updated 4 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆572Updated 3 months ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• rlirey / psmatching
  Propensity score matching in Python 3
  ☆27Updated 2 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆70Updated 5 months ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆158Updated 4 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• manifoldai / merf
  Mixed Effects Random Forest
  ☆233Updated last year
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆447Updated 5 months ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 5 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆375Updated 2 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆579Updated 6 years ago
• zhouyonglong / Multi-Channel-Attribution
  Multi Channel Attribution
  ☆10Updated 8 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• pgmpy / pgmpy_tutorials
  Tutorials on Causal Inference and pgmpy
  ☆384Updated last month
• 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
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆248Updated 2 years ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆267Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆129Updated 5 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆91Updated 2 years ago