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🐢 Open-Source Evaluation & Testing for ML & LLM systems
Created
2022-03-06
10,071 commits to main branch, last one 2 days ago
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Created
2018-08-22
437 commits to main branch, last one 4 months ago
A Python package to assess and improve fairness of machine learning models.
Created
2018-05-15
892 commits to main branch, last one a day ago
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...
Created
2020-07-06
1,970 commits to main branch, last one 3 months ago
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 ca...
Created
2020-03-11
274 commits to develop branch, last one 11 months ago
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Created
2020-07-01
17 commits to main branch, last one 3 years ago
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Created
2018-08-02
294 commits to master branch, last one 3 years ago
Safety Score for Pre-Trained Language Models
Created
2022-07-02
31 commits to main branch, last one about a year ago
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
Created
2020-03-11
63 commits to master branch, last one 3 years ago
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
Created
2020-04-21
137 commits to master branch, last one 11 months ago
Papers and online resources related to machine learning fairness
Created
2021-07-17
70 commits to main branch, last one about a year ago
PyTorch package to train and audit ML models for Individual Fairness
Created
2022-05-31
49 commits to main branch, last one about a year ago
[ACL 2020] Towards Debiasing Sentence Representations
Created
2020-01-27
31 commits to master branch, last one 3 years ago
[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
Created
2021-06-11
22 commits to main branch, last one 2 years ago
👋 Influenciae is a Tensorflow Toolbox for Influence Functions
Created
2021-10-04
193 commits to main branch, last one 6 months ago
A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustwor...
Created
2021-09-05
262 commits to main branch, last one 9 days ago
Talks & Workshops by the CODAIT team
Created
2019-09-23
205 commits to master branch, last one 3 years ago
[ACM 2024] Jurity: Fairness & Evaluation Library
Created
2020-12-17
182 commits to master branch, last one 26 days ago
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.
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Created
2021-12-10
1,906 commits to develop branch, last one 4 months ago
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
Created
2024-09-20
16 commits to main branch, last one 9 days ago
EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
Created
2022-10-08
53 commits to main branch, last one 2 years ago
A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.
Created
2021-12-20
26 commits to main branch, last one about a year ago
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
Created
2022-03-12
51 commits to main branch, last one 12 days ago
A fairness library in PyTorch.
Created
2024-01-31
69 commits to main branch, last one 3 months ago