automatic differentiation made easier for C++
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Updated
Jun 5, 2024 - C++
automatic differentiation made easier for C++
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Algorithmic differentiation with hyper-dual numbers in C++ and Python
Auto-differentiation library for C++
🎈 A C++ code generator for the automatic derivation of tensors with linear indexes. Implementation for the lesson Compiling Technology(2020 Spring, advised by Yun Liang) in Peking University.
Reversed mode second order automatic differentiation for python (WIP)
simple C++ auto-differentiation library
MetaAutoDiff is a C++ template library for automatic differentiation in reverse mode.
C++20 machine learning library with no external dependencies (nanorange used temporarily for C++20 ranges)
A fast auto differentiation engine implemented in C++ 🔥
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