fairness-indicators
Fairness evaluator
An evaluation toolkit to assess fairness in machine learning models
Tensorflow's Fairness Evaluation and Visualization Toolkit
343 stars
25 watching
80 forks
Language: Jupyter Notebook
last commit: 3 months ago
Linked from 3 awesome lists
fairness-indicatorsfairness-mltensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
| An online repository providing benchmarking tools and data for evaluating fairness-aware machine learning algorithms | 159 |
| A tool to assess and mitigate unfairness in AI systems, helping developers ensure their models do not disproportionately harm certain groups of people. | 1,974 |
| An open-source tool for simulating the long-term impacts of machine learning-based decision systems on social environments | 314 |
| A Python library providing tools and algorithms for fairness in machine learning model development | 29 |
| A tool for evaluating and improving the fairness of machine learning models | 57 |
| Provides a Python implementation of fairness mechanisms in classification models to mitigate disparate impact and mistreatment. | 190 |
| A tool for measuring fairness and mitigating bias in machine learning workflows | 167 |
| Evaluates and visualizes the performance of machine learning models. | 1,258 |
| An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,135 |
| A collection of code implementing the FairVFL algorithm and its associated data structures and utilities for efficient and accurate fairness-aware machine learning model training. | 7 |
| A library for exploring and validating machine learning data in TensorFlow | 766 |
| This repository contains implementations of measures to quantify discrimination in data | 38 |
| An end-to-end platform for building and deploying machine learning applications | 186,822 |
| Provides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow | 944 |
| An auditing toolbox to assess the fairness of black-box predictive models | 361 |