I'm specifically interested in the model-first queries you would like to do (as experiment-first queries are fully featured, we want to understand whats the best way to take that into models)

Well, we had a nice video from twimlcon but it is not up yet on our site. I recently gave a very long demo on both basic and semi-advanced clearml usage - you can watch it here
https://youtu.be/VJJsVJiWnYY?t=1774
the slides are here:
https://docs.google.com/presentation/d/1PFPTQkHVGxugruTRFDnuVmS85ziSbNOTixCVQwPMFDI/edit?usp=sharing
code is here:
https://github.com/abiller/events/tree/webinars/webinars/flower_detection_rnd

Not so much relevant, since it can be seen from your task 😄 but it would be interesting to find out if trains made something be much slower, and if so - how

That's always nice to hear. Remember that many of these improvements came from the community and you can always submit a feature request on our github repo https://github.com/allegroai/clearml/issues

Nbdev ia "neat" but it's ultimately another framework that you have to enforce.

Re: maturity models - you will find no love for then here 😉 mainly because they don't drive research to production

Your described setup can easily be outshined by a ClearML deployment, but sagemaker instances are cheaper. If you have a limited number of model architectures you can get tge added benefit of tracking your s3 models with ClearML with very little code changes. As for deployment - that's anoth...

I think the most up-to-date documentation for that is currently on the github repo, right SuccessfulKoala55 ?
https://github.com/allegroai/clearml-server-helm

Btw the reason that they initialize with barely discernible color lies within the hash function that encodes the str content to a color. I.e., this is actually a feature

submouldes == git submodules

EnviousStarfish54 lets refine the discussion - are you looking at structured data (tables etc.) or unstructured (audio, images etc)

There are several ways of doing what you need, but none of them are 'magical' like we pride ourselves for. For that, we would need user input like yours in order to find the commonalities.

There are examples but nothing comes to mind when. Thinking about well fleshed out for Bert etc. Maybe someone here can correct me

SubstantialBaldeagle49 not at the moment, but it is just a matter of implementing an apiclient call. you can open a feauture request for a demo on github, it will help make it sooner than later

EnviousStarfish54 I recognize this table 😉 i'm glad you are already talking with the right person. I hope you will get all your questions answered.

BTW if anyone from the future is reading this, try the docs again 😉

SubstantialElk6 this is a three parter -
getting workers on your cluster, again because of the rebrand I would go to the repo itself for the dochttps://github.com/allegroai/clearml-agent#kubernetes-integration-optional
2. integrating any code with clearml (2 lines of code)
3. executing that from the web ui
If you need any help with the three, the community is here for you 😉

wait, I thought this is without upload

I will dig around to see how all of this could be accomplished.
Right now I see it done in two ways:
a function that you must remember to call each time that would do the upkeep a script that you can run once in a while to do cleanupwhich one would you prefer that I will pursue?

Hi ManiacalPuppy53 glad to see that you got over the mongo problem by advancing to PI4 🙂

ClearML Free or self-hosted?

Thank you for helping to build better docs 🙏

ClearML thanks

fine. Can I open a feature request on our github for you, refering this conversation?

SubstantialBaldeagle49
hopefully you can reuse the same code you used to render the images until now, just not inside a training loop. I would recommend against integrating with trains, but you can query the trains-server from any app, just make sure you serve it with the appropriate trains.conf and manage the security 😉 you can even manage the visualization server from within trains using trains-agent. Open source is so much fun!

https://clear.ml/docs/latest/docs/guides/set_offline

Hmm, anything -m will solve? https://docs.docker.com/config/containers/resource_constraints/
or is it a segfault inside the container becuase ulimit isn't set to -s unlimited ?

https://youtu.be/VJJsVJiWnYY?t=1774
BattyLion34

What's your code situation? Is it open enough to allow you to create an issue for this on our GitHub?

I'm sorry, then what?

Are you doing imshow or savefig? Is this the matplotlib oop or original subplot? Any warning message relevant to this?

EnviousStarfish54 first of all, thanks for taking the time to explore our enterprise offering.

1. Indeed Trains is completely standalone. The enterprise offering adds the necessary infrastructure for end-to-end integration etc. with a huge emphasis on computer vision related R&D.
2. The data versioning is actually more than just data versioning because it adds an additional abstraction over the "dataset" concept, well this is something that the marketing guys should talk about... unless you ...