wikistat / Fair-ML-4-Ethical-AI
Fair Statistical Learning Algorithms for Ethical Artificial Intelligence
☆25Updated last year
Alternatives and similar repositories for Fair-ML-4-Ethical-AI:
Users that are interested in Fair-ML-4-Ethical-AI are comparing it to the libraries listed below
- This is the live website of The Institute for Ethical AI & ML, as well as The 8 Principles for Machine Learning.☆48Updated this week
- A library that implements fairness-aware machine learning algorithms☆125Updated 4 years ago
- A collection of implementations of fair ML algorithms☆12Updated 7 years ago
- A toolbox for fair and explainable machine learning☆55Updated 8 months ago
- Data and Model-based approaches for Mitigating Bias in Machine Learning Applications☆20Updated 5 years ago
- ☆101Updated last year
- Bots for reviewing the credibility of web content: articles, tweets, sentences and websites☆9Updated 2 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle☆52Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- A very simple library for exploiting graph-of-words in NLP☆12Updated 3 years ago
- Materials and Information for Ethics of Artificial Intelligence and Machine Learning☆11Updated last year
- Hands-on tutorial on ML Fairness☆70Updated last year
- List of references about Machine Learning bias and ethics☆60Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.☆15Updated 6 years ago
- ☆16Updated 2 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- Reading history for Fair ML Reading Group in Melbourne☆37Updated 3 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podc…☆65Updated this week
- Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificie…☆44Updated last month
- ☆35Updated last week
- FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.☆11Updated last year
- An Open Standard for Ethical Enterprise-Grade AI☆18Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- python tools to check recourse in linear classification☆75Updated 4 years ago
- 😇A curated list of links and resources for Fair ML and Data Ethics☆18Updated 2 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- MLApp is a Python library for building scalable data science solutions that meet modern software engineering standards.☆44Updated 3 years ago