On Sun, Apr 18, 2021 at 9:11 AM Ryan Soklaski <rsokla...@gmail.com> wrote:
> MyGrad is not meant to "compete" with the likes of PyTorch and JAX, which > are fantastically-fast and powerful autodiff libraries. Rather, its > emphasis is on being lightweight and seamless to use in NumPy-centric > workflows. > Thanks for sharing, this looks like an interesting project! I would also be curious how MyGrad compares to Autograd [1], which is currently probably the most popular package implementing "drop-in autodiff for NumPy." From a quick look, it appears that you take a slightly different approach for the design -- object oriented rather than functional. [1] https://github.com/HIPS/autograd
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