model-card-toolkit
A toolkit that streamlines and automates the generation of model cards (by tensorflow)
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. (by Trusted-AI)
| model-card-toolkit | AIF360 | |
|---|---|---|
| 1 | 6 | |
| 402 | 2,324 | |
| 0.7% | 1.7% | |
| 5.4 | 7.2 | |
| 10 months ago | 9 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
model-card-toolkit
Posts with mentions or reviews of model-card-toolkit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-10.
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Building a Responsible AI Solution - Principles into Practice
We explored various solutions in the machine learning space as well as in the neighbouring software development space for inspiration and learning. Some notable ones include Git and Github, Google Model Cardsand IBM's Factsheets. One of the main design decisions we faced was whether to go with a plain-text git-based solution or a structured schema approach. Eventually, we decided to build on top of Google Model Card (structured protobuf schema). This sacrifices immediate readability of the file, but makes it easy to be processed across different systems in a predictable manner.
AIF360
Posts with mentions or reviews of AIF360.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-10.
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perspective off
o https://aif360.mybluemix.net/
- How to detect and tackle bias in my data?
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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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Hi Reddit! I'm Milena Pribic, Advisory Designer for AI and the global design representative for AI Ethics at IBM. Ask me anything about scaling ethical AI practices at a huge company!
My advice is to remember that bias comes into the process intentionally and unintentionally! Tools like AI Fairness 360 can help you mitigate that from a development/technical perspective: https://aif360.mybluemix.net/
- [R] What are some of the best research papers to look into for ML Bias
What are some alternatives?
When comparing model-card-toolkit and AIF360 you can also consider the following projects:
fairlearn - A Python package to assess and improve fairness of machine learning models.