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[N] We just open sourced our no-frills ML-devops. Introducing: trains-agent

Hi r /ML,

Four months ago we open-sourced our experiment management platform. My relevant post on r /ML eventually gave us valuable feedback from actual researchers. One of the recurring themes was that we were lacking a definitive differentiation from other solutions.Well, I am happy to announce that we took that to heart and are now adding… <drumroll.wav>

All the devops your research is going to needand then some

Now live at (star/forks are appreciated): (now with trains-agent!)

​We are eager to know if the readme conveys just how cool this thing is!


  • An order of magnitude easier maintenance than K8S for research
  • Schedule GPU resources across any cloud and/or on-prem (and only use containers if you want to)
  • Straightforward, automagical configuration
  • User friendly UI
  • Roll your own autoML

The fine print: your agents work in conjunction with your trains platform.


  1. Why are we releasing this as FOSS – We feel that automagical devops are necessary for research 😉 Our formal answer is still valid: “We acknowledge that deep learning R&D and operations are not well-established yet, and we want TRAINS to remain relevant as paradigms shift in the field”
  2. … counting on you guys here. AMA?

PS: If anyone is at ODSC West on 10/31, Come meet Gregory from our team, he will be talking about Integrating data as part of autoML

submitted by /u/LSTMeow
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.