fairlearn
A Python package to assess and improve fairness of machine learning models. (by fairlearn)
verifyml
Open-source toolkit to help companies implement responsible AI workflows. (by cylynx)
| fairlearn | verifyml | |
|---|---|---|
| 6 | 1 | |
| 1,795 | 22 | |
| 1.1% | - | |
| 8.0 | 0.0 | |
| 27 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fairlearn
Posts with mentions or reviews of fairlearn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-28.
- Fairlearn
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Open source projects to work on AI bias
I'm involved in the Fairlearn project, and we always love getting new contributors. We have a bunch of open issues, ranging from new functionality to writing documentation, so feel free to take a look and see if there is something you would like to work on.
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In your experience, are AI Ethics teams valuable/effective? [D]
I'm involved with the Fairlearn project, so once I figure out what's necessary from a company policy-side, my plan is to incorporate these methods into Fairlearn one day.
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Building a Responsible AI Solution - Principles into Practice
Besides the existing monitoring solution mentioned in the section above, we were also took inspiration from continuous integration and continuous delivery (CI/CD) testing tools like Jenkins and Circle CI, on the engineering front, and existing fairness libraries like Microsoft's Fairlearn and IMB's Fairness 360, on the machine learning side of things.
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Ideas on how to use my data skills for a good cause?
Another commenter mentioned contributing to open-source tools. If you're interested in going that route, I'm involved in the Fairlearn project, and we could always benefit from a good data engineer.
verifyml
Posts with mentions or reviews of verifyml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-10.
-
Building a Responsible AI Solution - Principles into Practice
Interested readers should check out the VerifyML website, docs or Github code. Feel free to create a Github issue and drop any suggestions or feedback over there! VerifyML is proudly open-sourced and created by a small tech startup. I would like to think that more companies are going to see responsible AI as a comparative advantage or requirement and having an ecosystem of solutions that are not controlled by the interests of large tech companies would be key in driving the sector forward. I look forward to improving the user experience and integration with more machine learning tools over the next year, as well as sharing more thoughts in the space.
What are some alternatives?
When comparing fairlearn and verifyml you can also consider the following projects:
AIF360 - 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.
model-card-toolkit - A toolkit that streamlines and automates the generation of model cards
EthicML - Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Jenkins - Jenkins automation server
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models