nikikilbertus / fairensicsLinks
A python library to discover and mitigate biases in machine learning models and datasets
☆20Updated 2 years ago
Alternatives and similar repositories for fairensics
Users that are interested in fairensics are comparing it to the libraries listed below
Sorting:
- python tools to check recourse in linear classification☆76Updated 5 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Bayesian or-of-and☆36Updated 3 years ago
- Python code for training fair logistic regression classifiers.☆191Updated 4 years ago
- ☆76Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- 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
- ☆20Updated 6 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 7 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 6 months ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- ☆87Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- ☆11Updated 7 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 6 years ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Updated 8 years ago
- ☆135Updated 6 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- This repository contains citation data for papers published in NeurIPS in 2014 - 2018, and ICML 2017, 2018. It also contains the code to …☆24Updated 6 years ago
- Supervised Local Modeling for Interpretability☆29Updated 7 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 5 years ago