Metadata-Version: 2.1
Name: fairlib
Version: 0.0.9
Summary: Unified framework for assessing and improving fairness.
Home-page: https://github.com/HanXudong/fairlib
Author: Xudong Han
Author-email: xudongh1@student.unimelb.edu.au
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Natural Language :: English
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

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None are known at this time.


Getting help
------------

If you have any problem with our code or have some suggestions, including the future feature, feel free to contact 

- Xudong Han (xudongh1@student.unimelb.edu.au)

or describe it in Issues.


Contributing
------------

We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.


License
-------
This project is distributed under the terms of the [APACHE LICENSE, VERSION 2.0](https://www.apache.org/licenses/LICENSE-2.0).  The license applies to all files in the [GitHub repository](http://github.com/HanXudong/Fair_NLP_Classification) hosting this file.

Acknowledgments
---------------
* https://github.com/HanXudong/Decoupling_Adversarial_Training_for_Fair_NLP
* https://github.com/HanXudong/Diverse_Adversaries_for_Mitigating_Bias_in_Training
* https://github.com/SsnL/dataset-distillation
* https://github.com/huggingface/torchMoji
* https://github.com/mhucka/readmine
* https://github.com/yanaiela/demog-text-removal
* https://github.com/lrank/Robust_and_Privacy_preserving_Text_Representations
* https://github.com/yuji-roh/fairbatch
* https://github.com/shauli-ravfogel/nullspace_projection
* https://github.com/AiliAili/contrastive_learning_fair_representations
* https://github.com/AiliAili/Difference_Mean_Fair_Models
