Improving Quality of Online Voice Calls
An application of deep convolutional neural network model to specify cardiovascular diseases via analyzing ECG
Using ML to identify and combat employee attrition factors
Recognizing Handwritten Text in Physical Documents
A web application that uses machine learning to detect and rate smiles
Price prediction and portfolio/market analysis using NLP and reinforcement learning.
Our Projects in 2021-2022
A Guide to Brainstorming and Leading a Project.
Our Projects in 2020-2021
A Research Project on Benchmarking the Latest Generative Model Based OoOD Methods.
Reproducing "Siamese Neural Networks for One-shot Image Recognition" and benchmarking implementation performance and results.
Developing hand gesture detection for controlling web browsing.
Transfer learning in the domain of musical styles.
Real estate price prediction and transfer learning with CNNs.
Predicting stock prices.
An applied ML NLP project designed to win Cards Against Humanity, a popular humor-based party game. **[Full]**
GitLab Pages Website for UTMIST.
Our projects in 2019-2020
Reproducing SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies (Zemel et al.)
The UofT Machine Intelligence Student Team Runner (MISTR) is a Discord bot serving the UTMIST Discord server.
Wrapper written around SchedJulia to schedule interviews.
Our projects in 2018-2019
Department of Academics
Department of Infrastructure
An Empirical Study of Example Forgetting during Deep Neural Network Learning (Mariya Toneva*, Alessandro Sordoni*, Remi Tachet des Combes*, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon)
Reproducing Initialized Equilibrium Propagation for Backprop-free Training (Peter O'Connor, Efstratios Gavves, Max Welling)
GitHub Pages Website for UTMIST.