Can you tell us more about some of the highlights of what you've built here?
@jacqvon Hey Jacqueline,
We built Comet.ml after working at Machine Learning teams at both big tech companies (Google/Wix.com), startups and academia. We realized that managing machine learning workflow is really painful as there are no dedicated tools to do this. Comet works by connecting to your current workflow and then version, monitor and optimize your machine learning models. It works whether you're a student doing homework or a company with a huge cluster. Happy to answer any questions!
@jacqvon You can also see some of the Github-like public features on our users. While many users will be storing their experiments privately, Comet.ml users have the ability to share their training results.
You can see one of our example accounts here: https://www.comet.ml/seanreed1111/
How is this different to the already established (and open source) OpenML ( https://github.com/openml/OpenML ) ?
@trtm From looking at Github, it looks like the only relationship is the letters "ML".
@trtm Overall OpenML seems to run your models for you. We allow you to train your models anywhere you want (keeping your sensitive data private).
Mark Russell Filaroski
Can I get a demo? mark@compliancePT.com if Yes. Early Healthcare customer potential for you all. Thank you.
@compliancept @mark_filaroski Sure Mark! I'll send you an email.
Hey All! I'm late to the party! If you are interested in seeing what projects look like once you start running your experiments, you can see a test account from our in-house data-magician. See the examples of training a model against the CIFAR-10 or MNIST examples here: https://www.comet.ml/seanreed1111/