Auto-Colorization of Historical Black and White Images

Tackling colourization of black and white images with CNNs.

Denoising Renderings using Deep Learning

Use Deep Learning to reduce noise in computer generated imagery.

EMILI: Easy MachIne LearnIng

Develop a dynamic pipeline for efficient LLM development.

Evolving Virtual Creatures... PART II!

Evolving teamwork between virtual creatures.

Fashion Bot: Outfit Recommendation

Recommend fashion fits with Neutral Collaborative Filtering.

Is Hashing All You Need For Implicit Neural Representations

Understanding hashing in the context of Implicit Neural Representations.


Understand performance spread of protein function prediction models.

QuSparse Quantum Approaches to Sparse Signal Reconstruction

Use Quantum ML to preserve quality of sparse signals.

Real-Time Trading with Sequence Models and Reinforcement Learning

Use sequence modelling and DRL to create a real time trading system.

Spiking Neural Networks

Build a spiking neural network with resistance RAM.

Projects (2022-2023)

Our Projects in 2022-2023

Wind Turbine Audibility - Aercoustics collab

Providing an ML solution for the turbine audibility problem to Aercoustics Ltd.


Music Synthesis Using Diffusion Models.

Numerai Quant Team

Attempting to beat the Numerai weekly leaderboards.

Virtual Creatures

Reimagining Karl Sims 1994 'Evolving Virtual Creatures' paper.


Generating Osu beatmaps using Seq2Seq models.


Continuation of 2021’s WallStreetBots with a twist -- crypto price prediction.


Advancing the RealTime project from 2021.

12-Lead ECG Reconstruction

Reconstructing the 12-lead ECG information from only 2-3 lead signals.

Omni - Startup collab

Bringing information retrieval into the mechanics of creation.

AltaML - Startup collab

An ML pipeline for the construction industry.

PhotoML - Startup collab

Applying machine learning to picture selection.

Projects (2021-2022)

Our Projects in 2021-2022

Projects (2020-2021)

Our Projects in 2020-2021

Projects (2019-2020)

Our projects in 2019-2020

Projects (2018-2019)

Our projects in 2018-2019

WallStreetBots: Stock Price Prediction

Price prediction and portfolio/market analysis using NLP and reinforcement learning.

Real-Time: Real Estate Price Prediction

Real estate price prediction on a real-time dataset.

ECG Analysis Using Deep CNNs

An application of deep convolutional neural network model to specify cardiovascular diseases via analyzing ECG

Employee Attrition Factors Prediction

Using ML to identify and combat employee attrition factors

Handwriting Recognition Using Deep Learning

Recognizing Handwritten Text in Physical Documents

SmileDetector: Detecting and Rating Smiles

A web application that uses machine learning to detect and rate smiles

Leading a Project

A Guide to Brainstorming and Leading a Project.

Out-Of-Distribution Detection (OoDD)

A Research Project on Benchmarking the Latest Generative Model Based OoOD Methods.

Rust for Machine Learning: Benchmarking Performance in One-shot

Reproducing "Siamese Neural Networks for One-shot Image Recognition" and benchmarking implementation performance and results.

Hand Gestures and Hand Tracking for Web Browsing

Developing hand gesture detection for controlling web browsing.

Musical Style Transfer

Transfer learning in the domain of musical styles.

Real Estate Price Prediction

Real estate price prediction and transfer learning with CNNs.

Stock Price Prediction

Predicting stock prices.

The Humerus Bot

An applied ML NLP project designed to win Cards Against Humanity, a popular humor-based party game. **[Full]**


The UofT Machine Intelligence Student Team Runner (MISTR) is a Discord bot serving the UTMIST Discord server.


Wrapper written around SchedJulia to schedule interviews.