Topic: blas Goto Github
Some thing interesting about blas
Some thing interesting about blas
blas,🤖 A portable, header-only, artificial neural network library written in C99
User: 100
Home Page: https://100.github.io/Cranium/
blas,Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
User: ashvardanian
Home Page: https://ashvardanian.com/posts/simsimd-faster-scipy/
blas,A compile-time linear algebra system for C++
User: calebzulawski
blas,Tuned OpenCL BLAS
User: cnugteren
blas,Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net
User: conradsnicta
blas,DBCSR: Distributed Block Compressed Sparse Row matrix library
Organization: cp2k
Home Page: https://cp2k.github.io/dbcsr/
blas,libdspl-2.0 is opensource cross-platform digital signal processing algorithm library, written in C language.
User: dsplib
blas,THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
Organization: eigenteam
blas,💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Organization: explosion
blas,BLAS-like Library Instantiation Software Framework
Organization: flame
blas,Fortran Standard Library
Organization: fortran-lang
Home Page: https://stdlib.fortran-lang.org
blas,Basic linear algebra subroutines for embedded optimization
User: giaf
blas,[Deprecated] Common Lisp Differentiable Matrix Operations for Mathematical Optimization.
User: hikettei
Home Page: https://hikettei.github.io/cl-waffe-docs/
blas,Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.
Organization: hpac
Home Page: https://linnea.cs.umu.se
blas, Análisis numérico y cómputo científico
Organization: itam-ds
blas,Sparse matrix formats for linear algebra supporting scientific and machine learning applications
User: james-bowman
blas,Using PLT trampolines to provide a BLAS and LAPACK demuxing library.
Organization: julialinearalgebra
blas,High level linear algebra library for Dlang
Organization: kaleidicassociates
Home Page: http://lubeck.libmir.org/
blas,Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
Organization: kokkos
blas,A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.
User: lessthanoptimal
Home Page: https://ejml.org
blas,Library for specialized dense and sparse matrix operations, and deep learning primitives.
Organization: libxsmm
Home Page: https://libxsmm.readthedocs.io/
blas,Divide and Conquer Linear Algebra
User: masonprotter
blas,Linear algebra in TypeScript.
User: mateogianolio
Home Page: https://docs.vectorious.org/vectorious/6.1.12
blas,The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
User: mratsim
blas,Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
User: olmallet81
blas,oneAPI Math Kernel Library (oneMKL) Interfaces
Organization: oneapi-src
blas,OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Organization: openmathlib
Home Page: http://www.openblas.net
blas,oj! Algorithms
Organization: optimatika
Home Page: http://ojalgo.org
blas,Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
Organization: r-js
blas,LAPACK development repository
Organization: reference-lapack
blas,monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Organization: ricosjp
blas,C++17 port of Demucs v4 Hybrid Transformer (4-source, 6-source, fine-tuned) with ggml and Eigen3
User: sevagh
Home Page: https://freemusicdemixer.com/
blas,Optimizing performance, building and installing packages required for oobabooga, AI and Data Science on Apple Silicon GPU. The goal is to optimize wherever possible, from the ground up.
User: unixwzrd
blas,BLAS extension to xtensor
Organization: xtensor-stack
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