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Hi, I'm Upul 👋

I'm a Machine Learning Architect who loves to design, develop, and deploy machine learning-powered products and services.

  • 💻 Machine Learning Architect at Airudi

Recent Projects

Workplace Accident Risk Assessment and Prevention Recommendation System
Designed, developed, and deployed a chatbot for workforce accident prevention recommendation for a leading organization in Quebec Canada. More Details

Maritime Workforce Prediction and Allocation
Designed, implemented, and deployed machine learning models to predict and allocate workers for one of the Canadian ports.

Personal Projects

Behavioral Cloning
In this project, a Deep Neural Network is used to clone the behavior of human drivers.
Source Code

Aurora: Minimal Deep Learning Library
Aurora is a minimal deep learning library written in Python, Cython, and C++ with the help of Numpy, CUDA, and cuDNN.
Source Code

Segmentation of Roads Using Semantic Segmentation
Semantic segmentation using a fully convolutional neural network for segmenting road sections.
Source Code

Let's Connect 🔥

Upul Bandara's Projects

aimeos-typo3 icon aimeos-typo3

TYPO3 e-commerce extension for professional, high performance online shops

aind-cv-facialkeypoints icon aind-cv-facialkeypoints

AIND, computer vision capstone project. This repo contains starting code for an end-to-end facial keypoint recognition system that relies on a combination of computer vision and deep learning techniques.

aurora icon aurora

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

carnd-tensorflow-lab icon carnd-tensorflow-lab

Simple hello world example which shows how to write a convolutional neural network in TensorFlow

carnd-vehicle-detection icon carnd-vehicle-detection

Vehicle Tracking and Detection Project Submitted for Udacity's CND using Traditional Computer Vision and Machine Learning Techniques.

chocolate-quality-analysis icon chocolate-quality-analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

d2l-en icon d2l-en

Dive into Deep Learning (CV chapters coming soon)

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