Have you ever wondered what will be the ML frameworks of the '20s? In this essay, I examine the directions AI research might take and the requirements they impose, concluding with an overview of what I believe to be two strong candidates: JAX and S4TF.http://inoryy.com/post/next-gen-ml-tools/ …
Indeed. Agree about Jax. Here's another use case in competitive optimization for training GANs and constrained RLhttps://twitter.com/animaanandkumar/status/1219133562651176965?s=21 …
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What about the
@JuliaLanguage bevy? Flux.jl, zygote.jl, etc? Like swift, a more natural language...Thanks. Twitter will use this to make your timeline better. UndoUndo
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Thank you for sharing! Looks quite interesting, I can't believe I missed it while surveying use cases. I've referenced it in the blog post as well now.
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Made this prediction in the last decade
https://twitter.com/A_K_Nain/status/1205910872469590017?s=19 …The next framework that: 1) Is going to be the best 2) Will be my second fav (Keras still tops the list) 3) Will show the world why Python is
is JAX!
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