Tensor library for machine learning
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Updated
Dec 19, 2024 - C++
Tensor library for machine learning
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
automatic differentiation made easier for C++
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Automatic Differentiation in Geometry Processing Made Simple
Powerful automatic differentiation in C++ and Python
Source Code Generation for Automatic Differentiation using Operator Overloading
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
A language and compiler for irregular tensor programs.
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
XCFun: A library of exchange-correlation functionals with arbitrary-order derivatives
Method of Manufactured Solutions Repository
C++ template library for probabilistic programming
Differential Algebra Computational Toolbox
A C++ math library for scientific computing with a simple and elegant interface.
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