I'm super excited by how close we're getting to releasing some work I've been doing at Stripe on a static compute graph + bayesian inference library for Scala. Depending on your background, you might think of it as aspiring to be "TensorFlow for small data" or "Stan on the JVM".
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Oh, and also with some neat optimizations for the full-batch case rather than mini-batch.
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I'd be curious to see your benchmarks vs our actual lib that already does this on the JVM :). https://nd4j.org/ (this includes autodiff and the like) - where can I learn more?
End of conversation
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