jhoetter

6 ms·

1. 1.▲
   From failed proprietary product to funded open-source(blog.kern.ai)

   2 points by jhoetter 4y ago|1 comments
2. 2.▲
   by jhoetter 4y ago

   I thought this could be interesting - sharing how we iterated from a no-code product for non-technical users to a developer platform, and from proprietary to open-source. For anyone who is currently facing similar challenges, this could be
3. 3.▲
   Show HN: Standardizing NLP for a Modern ETL(bricks.kern.ai)

   6 points by jhoetter 4y ago|1 comments
4. 4.▲
   by jhoetter 4y ago

   Awesome that you guys finally went open-source :)
5. 5.▲
   by jhoetter 4y ago

   Very much needed. Spoke with many of the people listed on the repo, can confirm that they are not only open-source but generally very kind and trying to help. Using this for our current fundraise, and hopefully using this for our next one,
6. 6.▲
   by jhoetter 4y ago

   Annotation platforms use Excel. I once received 25 files of separate Excel spreadsheets from a labeling service for 10k texts (short texts about product titles, e.g. "Sauvignon blanc" -> "wine"). Had to merge them, wh
7. 7.▲
   by jhoetter 4y ago

   Nice, thanks. If you have any questions, please don't hesitate to contact us. Here's our Discord: https://discord.com/invite/qf4rGCEphW
8. 8.▲
   by jhoetter 4y ago

   Thanks Francis! Means a lot :)
9. 9.▲
   by jhoetter 4y ago

   My guess (some if this we already have, some we don't): - automation: integration of heuristics (multiple columns that you can program via formulas and such) - exploration: finding outliers or most similar records given some reference
10. 10.▲
    by jhoetter 4y ago

    Thanks, means the world!
11. 11.▲
    by jhoetter 4y ago

    I think so too. Mostly that it is something open. I also believe that it will change the workflow a bit, and that DVC will play a major role in it for versioning your different data hypotheses. Let's see, exciting times ahead!
12. 12.▲
    by jhoetter 4y ago

    Hey Mark, I totally agree. We're focusing on NLP, but we're generally interested in what programming will develop into. To exaggerate a bit, but I like that idea: With "regular programming" (not the best term, but I mean
13. 13.▲
    by jhoetter 4y ago

    Maybe also PowerPoint?
14. 14.▲
    by jhoetter 4y ago

    Hi Tom! Thanks, happy to hear that :) We've focused on JSON as the user-specified data model. So you can upload anything fitting into a JSON. We're using pandas to process the uploaded data, so spreadsheets or CSV-ish also work. W
15. 15.▲
    by jhoetter 4y ago

    Awesome, thanks for the suggestion. Already installed :)
16. 16.▲
    by jhoetter 4y ago

    Hey, thanks! :) What exactly do you mean with application? You can just pull the repository. As mentioned in the installation section, it is quite easy to start the app on your local host.
17. 17.▲
    by jhoetter 4y ago

    The most famous is arguably Snorkel, which started with an open-source library as a research project. We used that a lot ourselves, but the library by now is deprecated. We aim to extend on that idea by providing something that comes as clo
18. 18.▲
    by jhoetter 4y ago

    Looks interesting, I'll check it out!
19. 19.▲
    by jhoetter 4y ago

    Hi Ruben, you can take a look at our architecture overview here: https://github.com/code-kern-ai/refinery#-architecture A bit below it, you find a table with the links to all repositories. All of them are open-source.
20. 20.▲
    by jhoetter 4y ago

    Hey, I'm Johannes - one of the maintainers of refinery. Thanks Jonathan for sharing!! Would be super excited if you guys have any feedback. It's nowhere near perfect yet, but you can already use it to build some great data-centric