Alternatives and similar repositories for fairensics

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

• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆77Updated 5 years ago
• talwagner / fair_clustering
  ☆20Updated 6 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 6 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 7 years ago
• janovergoor / choose2grow
  Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.
  ☆26Updated 5 years ago
• kjchalup / independence_test
  A deep-learning-based conditional independence test that works for big, high-dimensional data.
  ☆14Updated 8 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆107Updated last year
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• 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
  ☆62Updated 6 months ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆191Updated 4 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
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆37Updated 3 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆36Updated 3 years ago
• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆14Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆276Updated last year
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• socialfoundations / causal-features
  Code to reproduce the paper "Do causal predictors generalize better to new domains?"
  ☆15Updated 11 months ago
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 7 years ago
• leotrs / sunbeam
  SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance
  ☆16Updated 6 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆161Updated 3 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆33Updated 4 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 7 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆57Updated 5 years ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆67Updated this week
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆54Updated 5 years ago