Hello, This is a request to list H5CPP as an eigen3 related project.
H5CPP is a novel approach to persistence in the field of machine learning, it provides high performance sequential and block access to HDF5 containers through modern C++, In this specific case Eigen3::Array<...> and Eigen3::Matrix<...>; Arbitrary deep POD types are handled via LLVM based compiler assisted reflection <https://github.com/steven-varga/h5cpp-compiler> resulting in mechanism similar to interpreted languages -- without trade offs. H5CPP was introduced in 2018 Chicago C++ User Group Meetup; has been presented on ISC'19 BOF <http://isc19.h5cpp.org/#/> thanks to HDFGroup sponsorship, it is continuously developed and works with major C++ compilers: Intel DPC++ v2021(beta), Intel 19.1.0.166, g++-7, g++-8, g++-9, clang++-6.0, clang++-7, clang++-8, clang++-9, clang++-10 author: steven varga (vargaconsulting.ca) project name: H5CPP website: http://h5cpp.org scm: https://github.com/steven-varga/h5cpp https://github.com/steven-varga/h5cpp-compiler
