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This covers some of same topics plus the rapidly expanding #s of frameworks, SIMD /SIMT backends etc https://julialang.org/blog/2017/12/ml&pl

20 pg tutorial on why RNN's are tricky https://arxiv.org/abs/1801.01078



Many mentions of Python, none of Numba, which does a good job of jitting Python with LLVM.

It seems unlikely though that an entire modeling community could rally behind a single language or framework, given all the possibilities, many of which are commercially oriented. But one I’ve used recently with a lot of flexibility is Loopy

https://documen.tician.de/loopy/




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