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spack.io : py-autograd
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 supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization. For more information, check out the tutorial and the examples directory.
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purl: pkg:spack/py-autograd
License: Other
Latest release: about 1 month ago
First release: about 2 years ago
Dependent packages: 4
Stars: 6,221 on GitHub
Forks: 849 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 4 days ago
py-pennylane 0.28.0
PennyLane is a Python quantum machine learning library by Xanadu Inc.1 version - Latest release: over 1 year ago - 1,703 stars on GitHub - 4 maintainers
py-pymoo 0.5.0
Multi-Objective Optimization in Python2 versions - Latest release: about 2 years ago - 1 maintainer
py-lifelines 0.25.5 💰
Survival analysis was originally developed and applied heavily by the actuarial and medical commu...2 versions - Latest release: about 2 years ago - 1 dependent package - 2,052 stars on GitHub - 1 maintainer
py-autograd-gamma 0.4.3 💰
autograd compatible approximations to the derivatives of the Gamma- family of functions.1 version - Latest release: about 2 years ago - 1 dependent package - 15 stars on GitHub - 1 maintainer