Evaluated deepchecks shortly after launch. A ton of useful checks on models and data, some are easy to implement, some less so, but the real value IMHO is having a lot of these easily packaged. You can try checks you wouldn't have otherwise prioritiesed and only look deeper if they find an issue. Note however the AGPL license and verify if you can use free version or need some commercial agreement.
@meir_maor thanks, and glad you see the value in the package, and like the way, it is built!
Licensing is always a complex issue, in our case we were looking for a solution that would enable free and open usage for any ML practitioner that's building their own model, but that would still enable us to avoid cases like the Elastic/Amazon licensing case. Based on numerous user interviews, I've learned that many of the concerns that are usually relevant to AGPL licenses don't apply to this case, since Deepchecks isn't used in the actual production code, but is only used to test the data/models before they are productionized.
In any case, we'd love to collaborate on a business level with companies that are building ML platforms, and of course, this would include a designated license.
On a different note, if there are any teams working on an interesting use case that are in need of a different license, please reach out, and let's see if we can find a solution.
Hi @moshe_bublil, and thanks for the positive feedback!
This is definitely a relevant use case. As you may have seen, the Computer Vision module of Deepchecks is still in Beta.
However, even the existing features would provide some important value for a this real time AV use case. There is still a hardware/runtime complexity issue that need some careful thought, but we’ve had discussions about this use case with relevant AV teams in the past. If you have a specific use case in mind - let’s discuss!
@ayushi_sharma9 Thanks! We've seen various use cases in academic areas, we would be happy to collaborate! (feel free to reach out via linkedin or in our community 🤓)
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