dssg / fairness_tutorial
Hands-on tutorial on ML Fairness
☆71Updated last year
Alternatives and similar repositories for fairness_tutorial:
Users that are interested in fairness_tutorial are comparing it to the libraries listed below
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Implementation of Adversarial Debiasing in PyTorch to address Gender Bias☆32Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- 💊 Comparing causality methods in a fair and just way.☆138Updated 5 years ago
- ☆53Updated 5 years ago
- Datasets derived from US census data☆258Updated 11 months ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- A library that implements fairness-aware machine learning algorithms☆124Updated 4 years ago
- Data and Model-based approaches for Mitigating Bias in Machine Learning Applications☆20Updated 5 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- Variational Fair clustering☆11Updated 10 months ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- ☆9Updated 4 years ago
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- ☆314Updated 2 years ago
- Repo for ML for Public Policy Lab course at CMU☆112Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated last week