talwagner / fair_clusteringLinks
☆20Updated 6 years ago
Alternatives and similar repositories for fair_clustering
Users that are interested in fair_clustering are comparing it to the libraries listed below
Sorting:
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- A fairness library in PyTorch.☆29Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Datasets derived from US census data☆268Updated last year
- ☆124Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 7 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆275Updated last year
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Updated 6 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- A toolbox for differentially private data generation☆132Updated 2 years ago
- ☆14Updated last year
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- ☆134Updated 6 years ago
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- python tools to check recourse in linear classification☆77Updated 4 years ago
- Supervised Local Modeling for Interpretability☆29Updated 6 years ago
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆13Updated 4 years ago