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 ...

Abstract: In-memory computing (IMC) and quantization have emerged as promising techniques for edge-based deep neural network (DNN) accelerators by reducing their energy, latency and storage ...

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.