Autodifferentiation engine forked from Ceres-Solver
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Updated
Nov 10, 2018 - C++
Autodifferentiation engine forked from Ceres-Solver
A simple library for building computational graphs with autodiff support.
Realization of models from existing papers
Fork of Matt Loper's autodifferentiation framework for Python
Reversed mode second order automatic differentiation for python (WIP)
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Simple implementation of reverse-mode automatic differentiation on numpy arrays
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A tiny autograd adapter implemented in Java with PyTorch-like API.
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Tiny automatic differentiation (autodiff) engine for NumPy tensors implemented in Python.
F-1 method
zapnAD: An auto-differentiation package.
Testing capabilities of Trilinos-Sacado in combination with e. g. tensors
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
Differentiate python calls from Julia
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