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adafruit_learning_system_guides

Programs and scripts to display "inline" in Adafruit Learning System guides

asabe-2018

Design and software for the multiple robots that will autonomously harvest and sort apples.

cv-based-yield-monitor

Code developed for my Masters thesis project. A machine vision-based yield monitor was designed to perform identification, size categorization and continuous counting of shallot onions in-situ during the harvesting process. The system is composed of a video logger and global positioning system (GPS), coupled with computer software developed in Python. Computer vision analysis is performed within the tractor itself while an RGB camera positioned directly above the harvesting conveyor collects real time video data of the crops under natural sunlight conditions. Vegetables are segmented using Watershed segmentation, detected on the conveyor and then classified by size.

deep-learning-in-python

Repository for exercises in François Chollet's book. All examples are run using the AWS Sagemaker Cloud service.

documentation-website

A test of using a template for a Jekyll documentation site

maishack2021

MAIS Hackathon 2021

mchacks2020

Our food waste reducer keeps track of the grocery items you keep into your fridge. Every time you buy an item, your fridge scans its UPC code, grabs the item's name, stores the data, and automatically notifies you when it's nearing its expiration date.

ml-class

Machine learning lessons and teaching projects designed for engineers

plotly_tutorials

Playing around with the interactive plotting library plotly.

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

pythonprogrammingtest

This is a repository for the Python test code. This code contains answers for the three questions (A, B, and C) provided by the company.

robohacks2018

Repository for the RoboHacks 2018 Hackathon.

sea-ice-challenge

Kaggle & Data Visualisation challenge for Climate Crisis AI 2021 Hackathon

tutorial-ammi_course

ML Tutorial for the summer 2020 AMMI course

tutorial-introtopythonprogramming

A short Jupyter Notebook showing some key introductory concepts and functionalities in Python Programming. This tutorial was created for the Macdonald Campus Robotics club and was also shown to students in the Instrumentation and Control course (BREE 504) at McGill University.

welfare_ai_2.0