dccuchile / wefe

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Date Created 2020-03-11 (4 years ago)

Commits 274 (last one about a year ago)

Stargazers 175 (0 this week)

Watchers 6 (0 this week)

Forks 14

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these dccuchile/wefe is ranked #199,120 (67th percentile) for total stargazers, and #300,666 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #35,763/119,431.

dccuchile/wefe is also tagged with popular topics, for these it's ranked: python3 (#1,455/4145), nlp (#1,081/2430), library (#1,051/2399)

Other Information

dccuchile/wefe has 4 open pull requests on Github, 27 pull requests have been merged over the lifetime of the repository.

There have been 6 releases, the latest one was published on 2023-01-16 (about a year ago) with the name 0.4.1.

Homepage URL: https://wefe.readthedocs.io/

All Topics

nlp library python3 fairness-ai fairness-ml nlp-library bias-detection bias-reduction word-embeddings word-embedding-fairness word-embedding-evaluation

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85 commits on the default branch (develop) since jan '22

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Languages

The only known language in this repository is Python

updated: 2024-11-20 @ 01:03pm, id: 246603387 / R_kgDODrLeew