autodiff
A C++17 library for automatic differentiation with forward and reverse mode support, enabling efficient derivative computation.
What is autodiff?
autodiff is a C++ library that implements automatic differentiation algorithms, enabling developers to compute derivatives of mathematical functions efficiently and with minimal code changes. It solves the problem of manually implementing derivative calculations, which is error-prone and time-consuming, especially in fields like machine learning and optimization. The library provides both forward and reverse mode differentiation through simple type replacements in C++ code.
C++ developers working on numerical computing, scientific simulations, machine learning frameworks, or optimization algorithms who need reliable and efficient gradient computations.
Developers choose autodiff for its modern C++17 design, intuitive API that requires minimal code modifications, and support for both forward and reverse mode automatic differentiation, making it a versatile tool for high-performance derivative calculations.
Overview
automatic differentiation made easier for C++
Use Cases
Best For
- Implementing gradient-based optimization algorithms in C++
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
