Alternatives and similar repositories for fairaudit

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

• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 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
• LucasKook / comets
  Algorithm-agnostic significance testing in supervised learning with multimodal data
  ☆9Updated last week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 3 weeks ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆21Updated 3 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 2 years ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆30Updated 4 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
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆61Updated 4 months ago
• tijana-zrnic / active-inference
  ☆15Updated last year
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆21Updated 4 months ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆49Updated 3 weeks ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆59Updated last year
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆27Updated last month
• alexluedtke12 / pydimple
  ☆20Updated last year
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆32Updated 9 months ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆246Updated 10 months ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• interpretml / fastSparse
  ☆23Updated last year
• bvegetabile / ipw_acic2022
  Introductory Workshop for Using Propensity Score Weights When Drawing Causal Inferences
  ☆9Updated 3 years ago
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 6 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆55Updated 3 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆12Updated 5 years ago
• hcllaw / bdr
  Perform bayesian distribution regression
  ☆13Updated 7 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago