Machine Learning Projects for Embedded Applications
embARC Machine Learning Inference (MLI) Library
The embARC Machine Learning Inference (embARC MLI) library consists of software functions optimized for DSP-enhanced ARC EMxD and ARC HS4xD processors. The primary purpose of this library is to enable developers to efficiently implement and/or port data processing algorithms based on machine learning principles for ARC Processors. The embARC MLI distribution is managed by Synopsys for the community and all contributions are welcomed.
Caffe Framework for Synopsys EV6x Processors
Synopsys-Caffe is a modified version of the popular Caffe Machine Learning framework adapted for use in embedded applications on Synopsys's DesignWare EV6x Processors
Caffe Models for Synopsys EV6x Processors
A set of Caffe Machine Learning Models, adapted for use in embedded applications on Synopsys's DesignWare EV6x Processors.
OpenCV for Synopsys EV6x Processors
OpenCV/2.4.9 with patches for use with EV6x Family of Processors