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Cortex: Deploy machine learning models in production

github.com

1–10 of 29 posts

Re: Cortex: Deploy machine learning models in production

#3

Unfortunately, a somewhat popular Clojure library for machine learning on GitHub is also called Cortex, because this is going to make discussing machine learning APIs in the context of Clojure that much more confusing.

Couldn’t you just search ‘clojure cortex’? As this isn’t actually clojure?

Re: Cortex: Deploy machine learning models in production

#4

Unfortunately, a somewhat popular Clojure library for machine learning on GitHub is also called Cortex, because this is going to make discussing machine learning APIs in the context of Clojure that much more confusing.

Couldn’t you just search ‘clojure cortex’? As this isn’t actually clojure?

It also looks like the last release for the Clojure library was in 2017

Re: Cortex: Deploy machine learning models in production

#5

Unfortunately, a somewhat popular Clojure library for machine learning on GitHub is also called Cortex, because this is going to make discussing machine learning APIs in the context of Clojure that much more confusing.

there's also a prometheus storage backend called Cortex

https://github.com/cortexproject/cortex

Re: Cortex: Deploy machine learning models in production

#6

Unfortunately, a somewhat popular Clojure library for machine learning on GitHub is also called Cortex, because this is going to make discussing machine learning APIs in the context of Clojure that much more confusing.

Last commit was like 2 years ago...

Re: Cortex: Deploy machine learning models in production

#10
post #8

Calling it an alternative to SageMaker might be a bit misleading, as SageMaker is also a platform for training the models in automatically allocated EC2 resources, even on spot instances.

We've changed the title from "Cortex: An open source alternative to SageMaker" to the page's own title, as the HN guidelines request.

https://news.ycombinator.com/newsguidelines.html

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