Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/algofairness/fairness-comparison
Comparing fairness-aware machine learning techniques.
https://github.com/algofairness/fairness-comparison
Last synced: 11 days ago
JSON representation
Comparing fairness-aware machine learning techniques.
- Host: GitHub
- URL: https://github.com/algofairness/fairness-comparison
- Owner: algofairness
- License: other
- Created: 2017-02-05T20:01:05.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2022-12-26T20:27:03.000Z (almost 2 years ago)
- Last Synced: 2024-06-11T20:53:28.520Z (5 months ago)
- Language: HTML
- Homepage:
- Size: 331 MB
- Stars: 157
- Watchers: 17
- Forks: 50
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Changelog: changelog.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-algofairness - Fairness comparison
- Awesome-AIML-Data-Ops - fairness - comparison.svg?style=social) - This repository is meant to facilitate the benchmarking of fairness aware machine learning algorithms based on [this paper](https://arxiv.org/abs/1802.04422). (Explaining Black Box Models and Datasets)
- awesome-production-machine-learning - fairness - comparison.svg?style=social) - This repository is meant to facilitate the benchmarking of fairness aware machine learning algorithms based on [this paper](https://arxiv.org/abs/1802.04422). (Explaining Black Box Models and Datasets)
- awesome-production-machine-learning - Fairness Comparison - comparison.svg?style=social) - This repository is meant to facilitate the benchmarking of fairness aware machine learning algorithms based on [this paper](https://arxiv.org/abs/1802.04422). (Explainability and Fairness)