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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
Javascript Matrix and Vector library for High Performance WebGL apps
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
BLAS-like Library Instantiation Software Framework
Fast Clojure Matrix Library
A lightweight high performance tensor algebra framework for modern C++
V library to develop Artificial Intelligence and High-Performance Scientific Computations
CEED Library: Code for Efficient Extensible Discretizations
A framework for high-performance domain decomposition methods.