Matches.jl: my implementation of "Gradients without backpropagation" in Julia

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I recently saw many people interested in whether the algorithm from the "Gradients without Backpropagation" paper works and people saying they were waiting for the authors to release their PyTorch code. So while we're waiting I decided to quickly hack together a proof-of-concept that computes estimates of gradients using dual numbers based on the paper.


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