gevorg_s

7 ms·

1.
by gevorg_s 6y ago
Thanks :)
2.
by gevorg_s 6y ago
We have got similar requests couple of times and its in the pipeline. Currently focused on the comparison of 1000s of metrics/training runs. It's a serious challenge both on the Ui and on the storage end. Inviting you to the Aim [
3.
by gevorg_s 6y ago
Would love to invite you join the Aim community slack [here]( https://slack.aimstack.io/ ) ? Let's connect!
4.
by gevorg_s 6y ago
no worries at all, love the Questions! re comparison: we have always wanted to use a free open-source self-hosted tool that would let us group metrics/runs by hyperparams, experiment context(train, val, test ...) and any other adjacent
5.
by gevorg_s 6y ago
the big diff and the advantage is that on tb you can't group by hyperparams or easily divide into subplots while having all the research info in fro nt of you. Aim does that and also aggregates groups of runs to reduce the dimension an
6.
by gevorg_s 6y ago
Aim easily handles 100s of ML training runs. There are folks who have 1000s of experiments too. We haven't oficially benchmarked it yet though.
7.
by gevorg_s 6y ago
Pls see my answers above.
8.
by gevorg_s 6y ago
We are working on a new paradigm on interacting with Ml training runs. A lot of the effort is now focused on very efficient experiment comparison capabilities - talking about 1000s of them. Lots of challenges on the UI and the backend. When
9.
by gevorg_s 6y ago
We are building Aim as a new paradigm for interacting with and organizing the ML training runs. And the project is really just a few months old. It's focused on comparing 1000s of experiments really effectively in minutes. MLFlow, Tens
10.
by gevorg_s 6y ago
yep.
11.
by gevorg_s 6y ago
Yea, spot on. Right now UI is ran locally and it reads the data from `.aim`. We have seen users deploy it for the team and have seen standalone in the local environment too. Once training is ran, the logs are saved in the `.aim`. We are us
12.
by gevorg_s 6y ago
Hi, Aim is fully open source and self-hosted (at the moment - just like tensorboard). Open source version of wandb would be one way to put it. But we are building a new way of interacting with the ML training runs that lets the researchers
13.
by gevorg_s 6y ago
Hi all I am one of the co-authors to this project, and will try to answer all the Qs here. Was just forwarded this link - one of the community members must have posted it.
14.
Aim – an open AI development environment(medium.com)
1 points by gevorg_s 6y ago|0 comments
15.
Explore Modularity of Your Ideas(medium.com)
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16.
The Great Data Companies of Future (Part 1)(medium.com)
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17.
A Guide to Deep Learning by YerevaNN(yerevann.com)
3 points by gevorg_s 10y ago|0 comments
18.
Startup Engineer Mentality(medium.com)
2 points by gevorg_s 10y ago|0 comments