radames / Machine-Learning-Ethics-ReferencesLinks
List of references about Machine Learning bias and ethics
☆62Updated 2 years ago
Alternatives and similar repositories for Machine-Learning-Ethics-References
Users that are interested in Machine-Learning-Ethics-References are comparing it to the libraries listed below
Sorting:
- ☆57Updated 4 years ago
- A collection of resources and tools designed to provide guidelines for ethical modeling.☆72Updated 3 years ago
- Awesome list of AI Fairness tools, research papers, tutorials and any other relevant materials. For use by data scientists, AI engineers …☆16Updated 6 years ago
- Themis™ is a software fairness tester.☆104Updated 4 years ago
- Research code for auditing and exploring black box machine-learning models.☆132Updated 2 years ago
- Reading history for Fair ML Reading Group in Melbourne☆36Updated 3 years ago
- Examples of unfairness detection for a classification-based credit model☆19Updated 6 years ago
- Georgia Tech graduate seminar on computational social science☆110Updated 7 years ago
- ☆38Updated 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…☆68Updated 4 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Fair Statistical Learning Algorithms for Ethical Artificial Intelligence☆26Updated 2 years ago
- ☆37Updated last month
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- A curated list of ML awesome frameworks & libraries for text data☆16Updated 2 years ago
- ☆102Updated last year
- A workshop on data privacy methods for data scientists.☆71Updated 2 years ago
- ☆53Updated 5 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- An API to access data from The New Yorker Caption Contest☆62Updated 2 years ago
- Notebooks and data associated to constructing and exploring a map of subreddits.☆55Updated 8 years ago
- Experiments to help discussion on Wikipedia talk pages☆66Updated last week
- Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰☆97Updated last year
- ☆32Updated last year
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Talks / presentations / tutorials about Fairlearn and fairness in ML☆22Updated 3 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 2 years ago
- My exhaustive repo of free deep learning resources☆50Updated 8 years ago
- ☆28Updated 7 years ago
- The Data Linter identifies potential issues (lints) in your ML training data.☆88Updated 7 years ago