Alternatives and similar repositories for skgrf

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

• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆71Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆80Updated 11 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆110Updated 4 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆63Updated last year
• ehkennedy / npcausal
  ☆94Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 7 years ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 2 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆79Updated last year
• 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
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 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
• JingyuHe / XBART
  ☆92Updated 5 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 10 months ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆50Updated 2 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆82Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆183Updated last year
• MCFpy / mcf
  Official repository for the mcf package.
  ☆18Updated last month
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated 5 months ago
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 5 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆45Updated last year
• jgitr / opossum
  ☆17Updated 5 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆139Updated 6 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆98Updated 3 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 9 months ago
• freshtaste / CausalModel
  CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
  ☆16Updated 11 months ago