crflynn / skgrf

Related projects ⓘ

Alternatives and complementary repositories for skgrf

• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆76Updated 4 months ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆65Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆103Updated 3 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• ehkennedy / npcausal
  ☆92Updated 10 months ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated 8 months ago
• JingyuHe / XBART
  ☆88Updated 10 months ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆154Updated 3 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆40Updated 5 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆13Updated 2 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆66Updated 7 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 4 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆33Updated 3 years ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2022)
  ☆11Updated 5 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆92Updated 9 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• 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
  ☆80Updated 6 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 3 months ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆48Updated last year
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆56Updated last week
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆128Updated this week
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated 2 weeks ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆56Updated last month
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆83Updated last year