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).
  ☆69Updated 5 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆104Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last month
• ehkennedy / npcausal
  ☆96Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 5 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆85Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆114Updated 4 years ago
• JingyuHe / XBART
  ☆92Updated 8 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆21Updated last week
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• kquist / DoubleML-Python
  ☆12Updated 6 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆157Updated 4 years ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆189Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆65Updated last year
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 years ago
• freshtaste / CausalModel
  CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
  ☆16Updated last year
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆53Updated 2 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆73Updated 4 months ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated 4 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 8 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 4 years ago
• jgitr / opossum
  ☆17Updated 5 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆44Updated 2 years ago
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 5 years ago