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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...
CUDA Templates and Python DSLs for High-Performance Linear Algebra
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 📐
Algebraic Multigrid Solvers in Python
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Python library for multilinear algebra and tensor factorizations
A framework for high-performance domain decomposition methods.
Multidimensional array similar to NumPy and NArray
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
A matrix library for the MicroPython language
go-glmatrix is a golang version of glMatrix, which is "designed to perform vector and matrix operations stupidly fast".
A subset of numpy for Micropython