#计算机科学#A Python package to assess and improve fairness of machine learning models.
翻译 - 一个Python包,用于评估和提高机器学习模型的公平性。
#计算机科学#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...
#Awesome#😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
#计算机科学#A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Tensorflow's Fairness Evaluation and Visualization Toolkit
#计算机科学#Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Fair Resource Allocation in Federated Learning (ICLR '20)
#大语言模型#LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
#自然语言处理#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...
#计算机科学#The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
#计算机科学#Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
#自然语言处理#Code accompanying our papers on the "Generative Distributional Control" framework
Train Gradient Boosting models that are both high-performance *and* Fair!
#自然语言处理#Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Flexible tool for bias detection, visualization, and mitigation
#计算机科学#A Python toolkit for analyzing machine learning models and datasets.
#自然语言处理#Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
#计算机科学#Papers and online resources related to machine learning fairness
#计算机科学#Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.