Showing 12 of 12 projects
An optimized open-source implementation of the Basic Linear Algebra Subprograms (BLAS) library for high-performance scientific computing.
A high-performance Clojure library for matrix and linear algebra computations using optimized BLAS/LAPACK routines on CPU and GPU.
CMake scripts for painless cross-platform usage of SuiteSparse and METIS libraries, including precompiled Windows binaries.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A Common Lisp library for matrix algebra with pure Lisp and accelerated backends via BLAS/LAPACK.
A generic numerical library for D providing sparse tensors, linear algebra, and machine learning components.
Rust wrappers for the LAPACK Fortran library, enabling linear algebra computations in Rust applications.
An OCaml linear algebra library providing BLAS and LAPACK bindings with compile-time static size checking for matrix and vector operations.
A Crystal linear algebra library providing a high-level interface to LAPACK routines for matrix operations.
A Clojure library providing optimization, control theory, and system identification tools built on Neanderthal for numerical computation.
A high-level Common Lisp linear algebra library built on BLAS and LAPACK with a user-friendly interface.
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