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"A Differentiable Programming System to Bridge Machine Learning and Scientific Computing"

https://arxiv.org/abs/1907.07587

https://news.ycombinator.com/item?id=20477873

From the abstract:

> We describe Zygote, a Differentiable Programming system that is able to take gradients of general program structures. We implement this system in the Julia programming language. Our system supports almost all language constructs (control flow, recursion, mutation, etc.) and compiles high-performance code without requiring any user intervention or refactoring to stage computations.

Just linking to this for those who haven't seen it.




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