equialgo / fairness-in-ml
This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
☆117Updated 3 years ago
Related projects: ⓘ
- Comparing fairness-aware machine learning techniques.☆159Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆49Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆188Updated 2 years ago
- ☆123Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆75Updated last year
- ☆130Updated 5 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆101Updated 5 months ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆255Updated 4 months ago
- ☆311Updated last year
- Hands-on tutorial on ML Fairness☆68Updated last year
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Code/figures in Right for the Right Reasons☆54Updated 3 years ago
- python tools to check recourse in linear classification☆74Updated 3 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated 11 months ago
- A library that implements fairness-aware machine learning algorithms☆124Updated 3 years ago
- Supervised Local Modeling for Interpretability☆27Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆70Updated 6 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆124Updated 3 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆87Updated 4 years ago
- ☆48Updated 4 years ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆33Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated 8 months ago
- ☆56Updated 3 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆173Updated last year
- This is a public collection of papers related to machine learning model interpretability.☆24Updated 2 years ago
- PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.☆71Updated last year
- Model Agnostic Counterfactual Explanations☆86Updated last year
- Privacy-preserving generative deep neural networks support clinical data sharing☆104Updated 5 years ago