VERY EARLY DEVELOPMENT!!! The idea is to pass matrices/vectors from R to C++, write pure C++/Blaze code for the computation, and then export the result back to R with the proper data structures.
APACHE-2.0 License
XSparse is an experimental XTensor-like C++ sparse-array library.
🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-f...
A highly optimised C++ library for mathematical applications and neural networks.
The idea is to pass matrices/vectors from R to C++, write pure C++/Armadillo code for the computa...
Implementation of async observable/observer (Reactive Programming) in C++ with care about perform...
A C++ header-only library of statistical distribution functions.
Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations
Code examples for tutoring modern C++
Library for physical and mathematical calculations in C++
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AV...
Zero-knowledge proof acceleration with GPUs for C++ and Rust
Change C++ code at runtime
A compiler front end for the C++ language
The idea is to pass matrices/vectors from R to C++, write pure C++/Eigen code for the computation...
Rcpp integration for the Armadillo templated linear algebra library