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scikit-cuda provides Python interfaces to many of the functions in the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of NVIDIA's CUDA Programming Toolkit, as well as interfaces to select functions in the CULA Dense Toolkit. Both low-level wrapper functions similar to their C counterparts and high-level functions comparable to those in NumPy and Scipy are provided. Package documentation is available at http://scikit-cuda.readthedocs.org/. Many of the high-level functions have examples in their docstrings. More illustrations of how to use both the wrappers and high-level functions can be found in the demos/ and tests/ subdirectories.

gpu cuda blas lapack numericalArmadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

linear-algebra matrix matrix-functions linear-algebra-library statistics matlab blas lapack hpc scientific-computing mkl machine-learning armadillo openmp gaussian-mixture-models cpp11 vector sparse-matrix expression-template matrix-factorizationDodoni.net is a free/open-source library with the aim to provide a framework for quantitative finance and for numerical computing.

blas excel finance intel-mkl-wrapper lapack numerical-algorithmstrying to collect all useful tutorials for famous C math and algebra libraries such as CBLAS, CLAPACK, GSL...

clapack cblas blas lapack lapacke mathematics algebraGLAS is a C library written in Dlang. No C++/D runtime is required but libc, which is available everywhere. CBLAS API can be provided by linking with Netlib's CBLAS library.

blas glas linear-algebra-subprograms algebra matrix-multiplication matrix lapack simdxtensor-blas is an extension to the xtensor library, offering bindings to BLAS and LAPACK libraries through cxxblas and cxxlapack from the FLENS project. xtensor-blas currently provides non-broadcasting dot, norm (1- and 2-norm for vectors), inverse, solve, eig, cross, det, slogdet, matrix_rank, inv, cholesky, qr, svd in the xt::linalg namespace (check the corresponding xlinalg.hpp header for the function signatures). The functions, and signatures, are trying to be 1-to-1 equivalent to NumPy. Low-level functions to interface with BLAS or LAPACK with xtensor containers are also offered in the blas and lapack namespace.

blas linear-algebra xtensor lapack c-plus-plus-14This is a binding of BLAS/LAPACK for Numo::NArray using dynamic linking loader. This desgin allows you to change backend libraries without re-compiling. Install LAPACK or alternative package.

numo linalg narray lapack blas matrix linear-algebra-libraryThis allows developers to write high-performance numerical code for applications that require linear algebra. The BLAS- and LAPACK-libraries have evolved over about two decades of time and are therefore extremely mature both in terms of stability and performance.

ocaml linear-algebra blas lapack vector matrixThis is a 100% Pure Javascript ( TypeScript ) re-write of the reference implementation Basic Linear Algebra SubPrograms (BLAS) numerical library found here. This is a full manual re-write, "emscripten" was not used. The resulting bundled blasjs file is an agnostic UMD library, it can be used in a web client as-well as in a server side node environment.

blas linear-algebra lapack linear-regression vector-algebra generalized-linear-model matrix vector complex-matrix conjugate-matrix transpose-matrix determinant conjugate machine-learning neural-network mathlab octave matrix-inverse jacobian hermetianLinear algebra package for Rust with ndarray based on external LAPACK implementations. See examples directory.

lapack linear-algebra rust-ndarrayLinear algebra library in Crystal, uses LAPACK. Killing SciPy, one module at a time.

lapack matrix crystal linear-algebraLinear algebra package for Rust with ndarray based on external LAPACK implementations. See examples directory.

lapack linear-algebra rust-ndarray
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