datamllab / awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
☆317Updated last year
Alternatives and similar repositories for awesome-fairness-in-ai:
Users that are interested in awesome-fairness-in-ai are comparing it to the libraries listed below
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- Papers and online resources related to machine learning fairness☆70Updated last year
- ☆313Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆314Updated 3 months ago
- Papers on fairness in NLP☆438Updated 10 months ago
- Datasets derived from US census data☆255Updated 10 months ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆361Updated 2 weeks ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- Hands-on tutorial on ML Fairness☆71Updated last year
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Updated last year
- Related papers for robust machine learning☆569Updated last year
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆117Updated last month
- ☆584Updated last year
- A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoi…☆64Updated 4 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆824Updated 2 years ago
- A toolbox for differentially private data generation☆131Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆240Updated 7 months ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- An awesome list of papers on privacy attacks against machine learning☆592Updated last year
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- List of relevant resources for machine learning from explanatory supervision☆157Updated 2 months ago
- python tools to check recourse in linear classification☆75Updated 4 years ago