socialfoundations / error-parityLinks
Achieve error-rate fairness between societal groups for any score-based classifier.
☆19Updated last year
Alternatives and similar repositories for error-parity
Users that are interested in error-parity are comparing it to the libraries listed below
Sorting:
- Datasets derived from US census data☆268Updated last year
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated 2 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 7 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 11 months ago
- python tools to check recourse in linear classification☆77Updated 4 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- ☆20Updated 6 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 2 years ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 7 months ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- A fairness library in PyTorch.☆29Updated last year
- ☆9Updated 4 years ago
- ☆23Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- A benchmark for distribution shift in tabular data☆55Updated last year
- ☆22Updated 6 years ago
- Hands-on tutorial on ML Fairness☆72Updated 2 years ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Updated last year
- ☆74Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- Learning Adversarially Fair and Transferable Representations☆55Updated 6 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago