#计算机科学#This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
#计算机科学#Code for Stress and Affect Detection on Resource-Constrained Devices
#计算机科学#Code for Optimized Arrhythmia Detection on Ultra-Edge Devices
Python implementation of ELM - with optimized speed on MKL-based platforms; Described in conference paper: Radu Dogaru, Ioana Dogaru, "Optimization of extreme learning machines for big data applicatio...
Embedded Vision for MVS in IoT
This repository is devoted to the development of the facial emotion recognition (FER) system as a final bachelor project at the TU/e. Realised by Blazej Manczak. Supervisors: Dr. Laura Astola (Accentu...
A proof of concept implementation of a Data Aware Neural Architecture Search.
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
#计算机科学#Image classification using compressed deep neural network ported on resource-constrained platforms.
A Python implementation of the algorithm described in paper Radu Dogaru, Ioana Dogaru, "Optimized Super Fast Support Vector Classifiers Using Python and Acceleration of RBF Computations", (2018) ; Th...
Models and their evaluation for paper: Radu Dogaru and Ioana Dogaru "RD-CNN: A Compact and Efficient Convolutional Neural Net for Sound Classification ", ISETC-2020
Federated Split Learning via Smashed Activation Gradient Estimation