linkedin / LiFTLinks
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
☆172Updated 2 years ago
Alternatives and similar repositories for LiFT
Users that are interested in LiFT are comparing it to the libraries listed below
Sorting:
- ☆103Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆209Updated 3 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 4 months ago
- A toolkit that streamlines and automates the generation of model cards☆440Updated 2 years ago
- ☆96Updated 5 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 3 years ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆357Updated 4 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Recipes for Driverless AI☆254Updated last week
- A collection of machine learning model cards and datasheets.☆81Updated last month
- Data Analysis Baseline Library☆133Updated last year
- A deep ranking personalization framework☆133Updated 2 years ago
- The fast.ai data ethics course☆17Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆126Updated 5 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆207Updated 3 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 4 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆142Updated last year
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Spark implementation of computing Shapley Values using monte-carlo approximation☆78Updated 2 years ago
- Library for Semi-Automated Data Science☆346Updated last month
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…☆134Updated last year
- A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…☆243Updated last year
- detect demographic differences in the output of machine learning models or other assessments☆320Updated 5 years ago
- ☆53Updated 2 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆145Updated last year