LiFT
Fairness toolkit
A tool for measuring fairness and mitigating bias in machine learning workflows
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
167 stars
15 watching
21 forks
Language: Scala
last commit: over 1 year ago
Linked from 2 awesome lists
fairnessfairness-aifairness-mllinkedinmachine-learningscalaspark
jphall663/awesome-machine-learning-interpretability
se-ml/awesome-semlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 koaning/scikit-fairness | A Python library providing tools and algorithms for fairness in machine learning model development | 29 |
 fairlearn/fairlearn | 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 |
 tensorflow/fairness-indicators | An evaluation toolkit to assess fairness in machine learning models | 343 |
 google/ml-fairness-gym | An open-source tool for simulating the long-term impacts of machine learning-based decision systems on social environments | 314 |
 ucsb-nlp-chang/fairness-reprogramming | A method to improve machine learning model fairness without retraining the entire network | 15 |
 cgnorthcutt/cleanlab | A tool for evaluating and improving the fairness of machine learning models | 57 |
 mbilalzafar/fair-classification | Provides a Python implementation of fairness mechanisms in classification models to mitigate disparate impact and mistreatment. | 190 |
| linkedin/photon-ml | A machine learning library built on top of Apache Spark for scalable and flexible regression modeling | 793 |
 algofairness/fairness-comparison | An online repository providing benchmarking tools and data for evaluating fairness-aware machine learning algorithms | 159 |
| linkedin/greykite | A flexible forecasting and anomaly detection library for time series data | 1,815 |
 dssg/aequitas | Toolkit to audit and mitigate biases in machine learning models | 701 |
 ethicalml/xai | An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,135 |
 nnikolaou/cost-sensitive-boosting-tutorial | Provides tools and methods for handling asymmetric classification problems in machine learning | 26 |
 kevincoble/aitoolbox | A toolbox of AI modules written in Swift for various machine learning tasks and algorithms | 794 |
 zygmuntz/kaggle-blackbox | A toolkit for building and training machine learning models using a simple, easy-to-use interface. | 115 |