Alternatives and similar repositories for counterfactual-cv:

Users that are interested in counterfactual-cv are comparing it to the libraries listed below

• 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
  ☆83Updated 6 years ago
• vub-dl / cs-um
  Causal Simulations for Uplift Modeling
  ☆12Updated 5 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated 2 years ago
• sjblim / rmsn_nips_2018
  ☆38Updated 6 years ago
• Osier-Yi / SITE
  ☆58Updated 3 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 4 years ago
• ioanabica / SCIGAN
  Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…
  ☆29Updated 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 last week
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆137Updated 10 months ago
• GitHubLuCheng / LTEE
  Implementation of paper Long-Term Effect Estimation with Surrogate Representation
  ☆12Updated 4 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆44Updated 3 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• ignavierng / local-astar
  Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
  ☆11Updated 3 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆127Updated 2 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆60Updated 5 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 5 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated last year
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆35Updated 2 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• CausalML / DeepGMM
  ☆35Updated 5 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• CausalML / continuous-policy-learning
  ☆11Updated 5 years ago
• vub-dl / u-cmab
  Uplifted Contextual Multi-Armed Bandit
  ☆19Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 5 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 2 years ago
• usaito / CFML-papers
  Summaries and notes on CounterFactual Machine Learning papers
  ☆19Updated 6 years ago