armadillo-code | linear algebra & scientific computing | Machine Learning library

armadillo-code is a C++ library typically used in Artificial Intelligence, Machine Learning applications. armadillo-code has no bugs, it has no vulnerabilities and it has low support. However armadillo-code has a Non-SPDX License. You can download it from GitLab.

Armadillo is a high quality C++ library for linear algebra and scientific computing, aiming towards a good balance between speed and ease of use. It's useful for algorithm development directly in C++, and/or quick conversion of research code into production environments. It has high-level syntax and functionality which is deliberately similar to Matlab. The library provides efficient classes for vectors, matrices and cubes, as well as 200+ associated functions covering essential and advanced functionality for data processing and manipulation of matrices. Various matrix decompositions (eigen, SVD, QR, etc) are provided through integration with LAPACK, or one of its high performance drop-in replacements (eg. OpenBLAS, Intel MKL, Apple Accelerate framework, etc). A sophisticated expression evaluator (via C++ template meta-programming) automatically combines several operations (at compile time) to increase speed and efficiency. The library can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc.