Alternatives and similar repositories for LTEE

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

• sjblim / rmsn_nips_2018
  ☆39Updated 6 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆11Updated 5 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 2 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
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated 10 months ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• belaalb / CEVAE-VampPrior
  CEVAE with VampPrior
  ☆11Updated 6 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 5 years ago
• Osier-Yi / SITE
  ☆58Updated 3 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆33Updated 2 years ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆43Updated 4 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆61Updated 5 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆51Updated 6 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• IliasZadik / double_orthogonal_ml
  ☆11Updated 6 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
• Zziwei / Unbiased-Propensity-and-Recommendation
  Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning
  ☆10Updated 4 years ago
• CausalML / continuous-policy-learning
  ☆11Updated 5 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• sanghack81 / SCMMAB-NIPS2018
  Structural Causal Bandit
  ☆24Updated 3 years ago
• ashudeep / Fair-PGRank
  Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019
  ☆20Updated 3 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• CausalML / DeepGMM
  ☆35Updated 5 years ago
• usaito / icml2022-mips
  (ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings
  ☆20Updated 2 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• hlzhang109 / TransTEE
  ☆33Updated 2 years ago