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".
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?
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