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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Fast Clojure Matrix Library
Numerical linear algebra software package
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/
CEED Library: Code for Efficient Extensible Discretizations
Allocators, I/O streams, math, geometry, image and audio processing for D
The RAW JavaScript Quaternion library
Multi-dimensional Swift math
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Multidimensional array similar to NumPy and NArray
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
Object-Based mathematical operations in VBA
C++ modules for scalar, vector and complex math. And maths.
A collection of matrix handling scripts