MuhammadYahta's Stars
yzhao062/combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
bharathsudharsan/ML-MCU
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
bharathsudharsan/TinyML-Benchmark-NNs-on-MCUs
Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
bharathsudharsan/CNN_on_MCU
Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'
bharathsudharsan/Train_plus_plus
Code for paper 'Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices'
bharathsudharsan/OTA-TinyML
Code for IEEE Internet Computing Journal paper 'OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices'
bharathsudharsan/COVID-away
Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'
bharathsudharsan/Edge2Guard
Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'
bharathsudharsan/ML-Classifiers-on-MCUs
Supplementary material for IEEE Services Computing paper 'An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware'
bharathsudharsan/Alexa-Smart-Speaker
A modern Smart-speaker with an advanced microphone array, camera module interfaced with Pi capable of performing AI-based tasks
bharathsudharsan/profile
Link: https://bharathsudharsan.github.io/profile/
bharathsudharsan/AVRGait
bharathsudharsan/Optimized-One-vs-One-Algorithm
Code for AAAI poster 'Training up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm'
Anwar-Said/CC-GA
Clustering Coefficient based Genetic Algorithm for Detecting Communities in Social Networks (Applied Soft Computing (2018))
Anwar-Said/Link-Predictability-using-VGAE
bharathsudharsan/Edge2Train
Code for IoT paper 'Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices'
farooqzaman1/HTSS
farooqzaman1/Urdu_sentiment_analysis
code and data for paper Sentiment analysis for Urdu online reviews using deep learning models
MuhammadYahta/rgom
bharathsudharsan/Air-Quality-IoT-Analytics
Repo and code of the UbiComp-ISWC 2021 paper: 'Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case'
bharathsudharsan/Reducing-Overprocessing-of-DNNs
farooqzaman1/Parsing-AUC