Alternatives and similar repositories for RieszLearning:

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

• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 3 weeks ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆32Updated last month
• jgreathouse9 / FDIDTutorial
  This repository contains the Python code to estimate the Forward and Augmented DID estimators.
  ☆12Updated 3 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆69Updated this week
• NengChiehChang / Diff-in-Diff
  ☆21Updated 5 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆33Updated last month
• AStrittmatter / ML-for-Econometrics
  ☆8Updated last year
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆16Updated 9 months ago
• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• MisraLab / cml.github.io
  ☆29Updated last year
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆11Updated 2 years ago
• bcallaway11 / did_chapter
  Code for DID chapter
  ☆11Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• bcallaway11 / ife
  Treatment Effects in Interactive Fixed Effects Model
  ☆17Updated 3 weeks ago
• pedrohcgs / pstest
  Specification test for the propensity score
  ☆13Updated 2 years ago
• dballinari / Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
  Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
  ☆13Updated 10 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆138Updated 4 months ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆65Updated last month
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆40Updated 4 years ago
• d2cml-ai / csdid
  CSDID
  ☆26Updated 2 months ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆13Updated last month
• kolesarm / RDHonest
  Honest inference in regression discontinuity designs
  ☆61Updated 3 months ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 3 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• ehkennedy / npcausal
  ☆93Updated last year
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆150Updated last month