Gianluca Truda's Projects
Just playing around with stuff in a hacky way
A simple Pomodoro timer built with JavaScript and a touch of GreenSock animation.
A demo for the Anthropic Hackathon. LLaVa that integrates with Claude.
A Quantified Self project in which I use ±40 nights of data to determine what helps and hinders my sleep.
Pylint plugin for static code analysis on Airflow code
A quantified self data analysis script in Python 3.
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
A pair of scripts for extracting YouTube links from your watch history, and randomly opening one in your browser.
Realtime raytracing from scratch in pure JavaScript.
A pair of scripts for (1) extracting URLs from HTML-esque documents and (2) fetching the title, description, and permalink for each URL.
SimplePay Internship Exercise, October 2016.
Simple decision tree made with scikit-learn using the Titanic survivorship data.
sir2019-study-buddy-group-7 created by GitHub Classroom
Covid-19 | Quantifying Uncertainty in Blood Oxygen Estimation Models from Real-World Data
A general-purpose SAT solver with applications to Sudoku problems. For Knowledge Representation at the VU.
Generating tabular datasets under differential privacy
A command-line Python script to send a message to your personal Telegram bot.
Simple Tic-Tac-Toe game with web app and API microservices
An exhibition of my experience in data processing and visualisation. Python script to process and visualise the Titanic survivor data.
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
Google Chrome extension to hide related videos on YouTube and prevent the user being led down the rabbit hole.
Computer Vision 1 assingments for group M05
UvA Information Theory project work
A bash script that automates mounting drives for my online varsity resources, detecting any updates or additions, and synchronising the changes.
Machine Learning for Improved Warfarin Dosing [coming soon]
A machine learning toolkit for reproducible research in anticoagulant dose estimation.
Multimodal AI for lab protocols and automation. 2023 Bio X AI hackathon winner.
Web animations lecture presented to B Online.