Asiri Sirithunga's Projects
The report submitted to NAITA after completion of the six months industrial training with Arimac Lanka (Pvt) Ltd.
My GitHub profile
Autonomous Navigation using Computer Vision with ROS
A design of prescribed bandpass filter using kaiser window method in Matlab and prepare a report withe basic theories.
Electronics class works
this repository contains a Colab notebook to classify the heart sound as normal or abnormal
This project is based on analog electronic components. The PID controller implementation using op-amps is one of the challenging task.
Common packages for the Clearpath Husky
Application collects weather data from a DHT11 sensor and sends it to IoT hub, also take actions according to cloud-to-device message.
A note taking app
Code samples for my book "Neural Networks and Deep Learning"
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data scientists will increase, requiring them to assist in the identification of the most relevant business questions and subsequently the data to answer them. In this session we will learn how to use Automated Machine Learning to create and apply a binary prediction model in Power BI using Python, Anaconda and Pycaret to quickly classify data.
Python example classifier for the PhysioNet Challenge 2022
A useful collection of CPP and PYTHON examples to learn ROS2 from zero
Microsoft student ambassador program technical onboarding
My clone repository
Ros demo for beginners
This tutorial will go over how to use Azure Cognitive Services to get an image dataset and train a Custom Vision model. The repository has a simple nodejs console app that uses Bing Image Search to scrape images to a local directory based on search term(s). Then use the images scraped to create a Custom Vision model with Azure Cognitive Services.
A Weather station made with an ESP32, sending data through Google Cloud IoT Core and storing in BigQuery
IoT device for Green Houses with UI.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent