Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
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Updated
Apr 3, 2022 - C
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
Intended to be a Torch-like autograd engine, inspired by micrograd
A collection of single-header libraries for building machine learning models in C
Implementation of Forward Automatic Differentiation of Real Valued Functions with multiple threads
Simple scalar valued autograd engine implemented in C, serving as an optimizer to minimize mathematical expressions.
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