./math/py-autograd, Efficiently computes derivatives of numpy code

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Branch: pkgsrc-2020Q2, Version: 1.3, Package name: py37-autograd-1.3, Maintainer: pkgsrc-users

Autograd can automatically differentiate native Python and Numpy
code. It can handle a large subset of Python's features, including
loops, ifs, recursion and closures, and it can even take derivatives
of derivatives of derivatives. It uses reverse-mode differentiation
(a.k.a. backpropagation), which means it can efficiently take
gradients of scalar-valued functions with respect to array-valued
arguments. The main intended application is gradient-based
optimization.


Required to run:
[lang/python37] [devel/py-future] [devel/py-setuptools] [math/py-numpy]

Master sites:

SHA1: 9dc88df4078c111f45731e0934cf8c0fd9a87723
RMD160: 4566e05e7ca36c37b3b804d60b7610cc8b3c04ef
Filesize: 37.36 KB

Version history: (Expand)