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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 lean linear math library, aimed at graphics programming. Supports vec3, vec4, mat4x4 and quaternions
Mir (backports): Sparse tensors, Hoffman
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A framework for high-performance domain decomposition methods.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
Object-Based mathematical operations in VBA
A collection of matrix handling scripts
A dependency-free Linear Algebra, Statistics, and Machine Learning library written from scratch in V
Port of godot-math to D: vectors, matrices, rectangles, points, AABBs, planes, frustums.