Alternatives and similar repositories for psmatching:

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

• konosp / propensity-score-matching
  ☆103Updated 4 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆52Updated 3 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
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆13Updated 3 months ago
• kuiy / pyCausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)
  ☆20Updated 4 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆63Updated last year
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆60Updated 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
• benmiroglio / pymatch
  ☆287Updated last year
• adriennekline / psmpy
  propensity score matching in python
  ☆57Updated 2 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year
• almost-matching-exactly / MALTS
  ☆16Updated 9 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆137Updated 10 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated 2 weeks ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆78Updated 3 years ago
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated last year
• yishilin14 / causal_playground
  ☆17Updated 5 years ago
• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆23Updated 2 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆71Updated 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
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 2 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆59Updated 5 months ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆11Updated 4 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆60Updated 5 years ago
• jc1850 / Learning-Causal-Networks-in-Python
  4th Year project aiming to implement PC, FCI and RFCI algorithms in python
  ☆14Updated 6 years ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆47Updated 6 months ago
• 10-Academy-quad-squad / casual-graph
  Breast cancer prediction using causal Inference
  ☆11Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago