DamithaSenevirathne
PhD Student at Western University Focusing on ML applications on Digital Twins
Western UniversityLondon, Ontario, Canada
Pinned Repositories
AirplaneReservation
Autoencoder
Dimensional reduction using autoencoder
ballerina-dev-website
Dev version of the ballerina.io website
ballerina-distribution
ballerina-lang
The Ballerina Programming Language
jasminegraph
High Performance Graph Database Server
jasminegraph-prerequisites
Maze-solving-robot
maze solving robot using arduino
jasminegraph
Distributed Graph Database Server
jasminegraph-prerequisites
Docker base image for JasmineGraph
DamithaSenevirathne's Repositories
DamithaSenevirathne/Maze-solving-robot
maze solving robot using arduino
DamithaSenevirathne/AirplaneReservation
DamithaSenevirathne/bitHeads
DamithaSenevirathne/bitHeads-1
DamithaSenevirathne/CO225_SoftwareConstruction
DamithaSenevirathne/CO227Project-ChatBot
Informational chatbots for department students and staff
DamithaSenevirathne/codeBase
This repository is to store useful algorithms which are used frequently and to study them
DamithaSenevirathne/CS-2012-Semester_2_project_OOP
Java written game simulation to understand concepts of object oriented programming. Multi threading was used to understand concepts.
DamithaSenevirathne/Encoder
Quadrature Encoder Library for Arduino
DamithaSenevirathne/git-demo-damitha
DamithaSenevirathne/models
Models and examples built with TensorFlow
DamithaSenevirathne/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
DamithaSenevirathne/Odigos
DamithaSenevirathne/OOSDProject
DamithaSenevirathne/opencv
Open Source Computer Vision Library
DamithaSenevirathne/PinChangeInt
Pin Change Interrupt library for the Arduino
DamithaSenevirathne/Restaurent-item-suggestor
DamithaSenevirathne/tensorflow
Computation using data flow graphs for scalable machine learning
DamithaSenevirathne/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.