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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...
Mixed-precision math, linear-algebra & retrieval kernels, 4000+ symbols from 4-bit numbers to 128-bit complex, for x86, Arm, RISC-V, LoongArch, Power & WASM, AMX & SME included 📐
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
The RAW JavaScript Quaternion library
A simple cross platform .NET API for Intel MKL
means completeness and balancing, from the Arabic word الجبر
A simple ffi-accelerated vector library for everyone
a simple vector library for Lua based on the PVector class from processing
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code.
A simple ffi-accelerated vector library for everyone with support for z-axis
C++ modules for scalar, vector and complex math. And maths.