datamllab / awesome-fairness-in-aiLinks
A curated list of awesome Fairness in AI resources
☆323Updated 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
Sorting:
- This is a collection of papers and other resources related to fairness.☆94Updated 2 years ago
- Papers and online resources related to machine learning fairness☆72Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- ☆315Updated 2 years ago
- Datasets derived from US census data☆263Updated last year
- ☆916Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆319Updated 6 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 10 months ago
- List of relevant resources for machine learning from explanatory supervision☆157Updated 5 months ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- ☆591Updated last year
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- Hands-on tutorial on ML Fairness☆72Updated last year
- A curated list of trustworthy deep learning papers. Daily updating...☆369Updated last week
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Responsible AI knowledge base☆104Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Bias Auditing & Fair ML Toolkit☆723Updated last month
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 4 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆831Updated 3 years ago
- Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources☆162Updated 4 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- Towards Automatic Concept-based Explanations☆159Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆291Updated last year
- ☆37Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆125Updated 4 years ago