Alternatives and similar repositories for interventions-disparate-impact-responders

Users that are interested in interventions-disparate-impact-responders are comparing it to the libraries listed below

• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 8 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• CausalML / continuous-policy-learning
  ☆12Updated 5 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• junyzhou10 / MetaLearners
  The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…
  ☆11Updated 2 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• IliasZadik / double_orthogonal_ml
  ☆11Updated 7 years ago
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆12Updated 5 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆50Updated 3 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• hcllaw / bdr
  Perform bayesian distribution regression
  ☆13Updated 7 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆35Updated 4 years ago
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆19Updated 6 years ago
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 5 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆43Updated last year
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 2 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆14Updated 2 years ago
• deshen24 / syntheticNN
  ☆24Updated 4 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆35Updated 3 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆33Updated 3 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 7 years ago
• 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
  ☆84Updated 7 years ago