verifyml
Open-source toolkit to help companies implement responsible AI workflows. (by cylynx)
model-card-toolkit
A toolkit that streamlines and automates the generation of model cards (by tensorflow)
| verifyml | model-card-toolkit | |
|---|---|---|
| 1 | 1 | |
| 22 | 401 | |
| - | 0.5% | |
| 0.0 | 5.4 | |
| about 2 years ago | 9 months 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.
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.
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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.
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.
-
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.
What are some alternatives?
When comparing verifyml and model-card-toolkit you can also consider the following projects:
fairlearn - A Python package to assess and improve fairness of machine learning models.
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.
EthicML - Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Jenkins - Jenkins automation server
DALEX - moDel Agnostic Language for Exploration and eXplanation