Alternatives and similar repositories for ebal-py

Users that are interested in ebal-py are comparing it to the libraries listed below

• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆13Updated 3 months ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 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
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆88Updated 2 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆71Updated 4 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆63Updated 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
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆137Updated 10 months ago
• calebleedy / ISU-Causal
  Repository for the ISU Causal Inference Working Group
  ☆12Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 4 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
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆77Updated 2 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆79Updated last year
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated 2 weeks ago
• d2cml-ai / csdid
  CSDID
  ☆29Updated this week
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 9 months ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆41Updated 2 years ago
• crflynn / skgrf
  scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library
  ☆31Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆80Updated 11 months ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆45Updated 2 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆45Updated 3 years ago
• callmespring / CausalRL
  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
  ☆29Updated last year
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆103Updated 4 years ago
• ainaimi / mlci_shortcourse
  ☆13Updated last year
• jgitr / opossum
  ☆17Updated 5 years ago
• claudiashi57 / dragonnet
  ☆268Updated 3 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆25Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆61Updated 5 years ago
• ioanabica / SCIGAN
  Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…
  ☆30Updated 4 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 10 months ago