arm-compute-library
There are 7 repositories under arm-compute-library topic.
OAID/Caffe-HRT
Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
OAID/MXNet-HRT
Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.
OAID/TensorFlow-HRT
Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.
ppplinday/vgg16-by-ARM-Compute-Library
Implement vgg16 model by ARM Compute Library
SKKU-ESLAB/ACL-lowp
arm compute library implementation of efficient low precision neural network
adityagupta1089/ComputeLibrary
This is a fork of the original library to be able to be run on Hikey 970 board using a makefile on top of scons for analyzing bottlenecks and improving performance on it.
ppplinday/alexnet-armcomputelibrary-android-withoutfc67
I deleted fullconnectlayer6 and 7 in order to make a small model so that I can load this model to my phone. The purpose of this program is to compare performanc between tensorflow and arm compute library in android phone