Should I use accelerate or another library for simple, np.sum-like, matrix operations?

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Machine Learning Deep Learning deep-neural-networks gradient-descent automatic-differentiation

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    Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

    • Shameless plug: If you're looking for a more user friendly method for accelerated operations on vectors, matrices and tensors: I built Deep Learning for Swift a while ago, which implements a lot of numpy functions. It's primarily made for deep learning but you can also do number crunching with it.

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