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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 📐
A lightweight high performance tensor algebra framework for modern C++
Dense and sparse linear algebra library for Ruby via SciRuby
Python library for multilinear algebra and tensor factorizations
CEED Library: Code for Efficient Extensible Discretizations
Mir (backports): Sparse tensors, Hoffman
Multi-dimensional Swift math
The V Tensor Library
Scientific computing in pure Crystal
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code.
Multidimensional array similar to NumPy and NArray