bharathsudharsan

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

river

🌊 Online machine learning in Python

combo

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

TinyFederatedLearning

A scheme for privacy-preserving learning on Tiny Devices.

TinyML-Benchmark-NNs-on-MCUs

Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'

CNN_on_MCU

Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'

COVID-away

Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

Edge2Guard

Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

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'

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'

VidCEP

Complex Event Processing Framework for detecting patterns over video streams

Edge2Train

Code for IoT paper 'Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices'

Smart-Manufacturing-Ontology

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'

ECML-Tutorial-ML-Meets-IoT

Repository of the ECML PKDD 2021 tutorial title 'Machine Learning Meets Internet of Things: From Theory to Practice'

ML-Model-Combining

Code for BigData paper 'Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT'

datascience_casestudy_springboard

Repository contains different data science case-studies performed on the part of Springboard data science curriculum.

dineshh912

dineshh912.github.io

DS_big_mountain_ski_resort_capstone

Data science project for big mountain ski resort- capstone project

london-crime-data-visualization

now-playing

support_ticket_classification

NeatML

NEAT algorithm written by scratch applied to Flappy Bird all written in python

ManufacturingProductionLineDataSetGeneration-Football-

OSMTrafficEstimation

Traffic Estimation Operator for OpenStreetMap based on Open Traffic Cameras

DataScienceGuidedCapstone

Frequentist-Inference-Case-Study

Frequentist Inference case study exercise in part of springboard data science curriculum

AdaptiveVidWindows

AudioAnalysis