2017-2018

About Us

About UTMIST

2018-2019

Projects (2018-2019)

Our projects in 2018-2019

ICLR 2019 Reproducibility: Alarm Forgetting Example

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)

ICLR 2019 Reproducibility: Initialized Equilibrium Propagation

Reproducing Initialized Equilibrium Propagation for Backprop-free Training (Peter O'Connor, Efstratios Gavves, Max Welling)

utmist.github.io

GitHub Pages Website for UTMIST.

About Us

About UTMIST

2019-2020

utmist.gitlab.io

GitLab Pages Website for UTMIST.

Projects (2019-2020)

Our projects in 2019-2020

NeurIPS 2019 Reproducibility: SMILe

Reproducing SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies (Zemel et al.)

MISTR

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

Scheduler

Wrapper written around SchedJulia to schedule interviews.

About Us

About UTMIST

Academics (2019-2020)

Department of Academics

Administration

UTMIST Administration

Communications

Department of Communications

External

Department of External

Infrastructure (2020)

Department of Infrastructure

Marketing

Department of Marketing

utmist.github.io

GitHub Pages Website for UTMIST.

2020-2021

MIST101/102 Instructions

MIST101/102 Instructions

MIST101-1: Intro to Machine Intelligence

The first workshop of MIST101: Into the Mist of Machine Intelligence.

MIST101-2: How Does a Machine Learn?

The second workshop of MIST101: How Does a Machine Learn?

MIST101-3: Artificial Neural Networks

The third workshop of MIST101: Artificial Neural Networks

MIST101-4: Overfitting, Underfitting and Regularizations

The fourth workshop of MIST101: Overfitting, Underfitting and Regularizations

MIST101-5: Unsupervised Learning and Clustering

The fifth workshop of MIST101: Unsupervised Learning and Clustering

MIST102-1: Convolutional Neural Networks

The first workshop of MIST102: Convolutional Neural Networks

MIST102-2: Recurrent Neural Networks

The second workshop of MIST102: Recurrent Neural Networks

MIST102-3: Reinforcement Learning

The third workshop of MIST102: Reinforcement Learning

Annual General Meeting (AGM) 2021

Our annual general meeting (AGM) in 2021.

Info Session + ML Career Panel

Info Session + ML Career Panel

Discover AI Mini-Challenge #3

Explore Natural Language Processing & Conversational AI in the Discover AI Mini-Challenge with Microsoft/Agorize.

2021 UTMIST Project Showcase

2021 UTMIST Project Showcase

UTMIST Talk Series | ML for 3D Perception: Differentiating and Embedding Imaging Systems for Deep Learning

A talk by Wenzheng Chen about his research that integrates computational photography and deep learning.

UTMIST x AMD: How Machine Learning Transforms Gaming Experiences

A seminar with Max Kiehn, Fellow Engineer and ML Technical Lead at AMD, on how AMD uses ML to automate gameplay testing, followed by a firechat session with Mattieu Chan Chee, ML Intern at AMD.

Entrepreneurship in AI: Democratized Online Learning by Korbit AI

Korbit AI's workshop about about how they personalized online education with artificial intelligence.

Entrepreneurship in AI: How Untether AI Transforms Computing

A series of talks by founders and researchers from Untether AI about how they built a transformative AI chipset.

UTMIST Talk Series | ML for Genomic Data Analysis: Segway and the Graphical Models Toolkit

A seminar by Professor Michael Hoffman about how machine learning impacts the study of computational biology and genomics.

ML Project Matchmaking Day

A social event for inspiration, advice, and team forming.

About Us

About UTMIST

Leading a Project

A Guide to Brainstorming and Leading a Project.

Deep Dive into Machine Learning with AWS DeepRacer

A showcase of AWS DeepRacer, an autonomous race car powered by reinforcement learning

Annual General Meeting (AGM) 2020

Our annual general meeting (AGM) in 2020.

Projects (2020-2021)

Our Projects in 2020-2021

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]**

utmist.gitlab.io

GitLab Pages Website for UTMIST.

Academics & Research

Department of Academics & Research

Engineering

Department of Engineering

Industry Relations

Department of Industry Relations

Infrastructure

Department of Infrastructure

Marketing

Department of Marketing

Administration

UTMIST Administration

Alumni & Past Members

Alumni & Past Members

MISTR

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

2021-2022

Ethics in AI Speaker Panel

Ethics in AI Speaker Panel

Breaking into AI: Industry Speaker Panel

AI Industry Speaker Panel

AudioTech Refiner: Eliminating Noise and Distortion in Low-Bandwidth Audio

Improving Quality of Online Voice Calls

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

WallStreetBots: Stock Price Prediction

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

Projects (2021-2022)

Our Projects in 2021-2022

About Us

About UTMIST

Academics & Research

Department of Academics & Research

Engineering

Department of Engineering

External Relations

Department of External Relations

Infrastructure

Department of Infrastructure

Marketing

Department of Marketing

Technical Writing

Department of Technical Writing

Administration

UTMIST Administration

academic-talk-series

UTMIST Talk Series | ML for 3D Perception: Differentiating and Embedding Imaging Systems for Deep Learning

A talk by Wenzheng Chen about his research that integrates computational photography and deep learning.

UTMIST Talk Series | ML for Genomic Data Analysis: Segway and the Graphical Models Toolkit

A seminar by Professor Michael Hoffman about how machine learning impacts the study of computational biology and genomics.

academics

Academics & Research

Department of Academics & Research

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.

Academics & Research

Department of Academics & Research

NeurIPS 2019 Reproducibility: SMILe

Reproducing SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies (Zemel et al.)

Academics (2019-2020)

Department of Academics

ICLR 2019 Reproducibility: Alarm Forgetting Example

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)

ICLR 2019 Reproducibility: Initialized Equilibrium Propagation

Reproducing Initialized Equilibrium Propagation for Backprop-free Training (Peter O'Connor, Efstratios Gavves, Max Welling)

AMD

UTMIST x AMD: How Machine Learning Transforms Gaming Experiences

A seminar with Max Kiehn, Fellow Engineer and ML Technical Lead at AMD, on how AMD uses ML to automate gameplay testing, followed by a firechat session with Mattieu Chan Chee, ML Intern at AMD.

Engineering

AudioTech Refiner: Eliminating Noise and Distortion in Low-Bandwidth Audio

Improving Quality of Online Voice Calls

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

WallStreetBots: Stock Price Prediction

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

2021 UTMIST Project Showcase

2021 UTMIST Project Showcase

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]**

entrepreneurship-in-ai

Entrepreneurship in AI: Democratized Online Learning by Korbit AI

Korbit AI's workshop about about how they personalized online education with artificial intelligence.

Entrepreneurship in AI: How Untether AI Transforms Computing

A series of talks by founders and researchers from Untether AI about how they built a transformative AI chipset.

events

MIST101/102 Instructions

MIST101/102 Instructions

MIST101-1: Intro to Machine Intelligence

The first workshop of MIST101: Into the Mist of Machine Intelligence.

MIST101-2: How Does a Machine Learn?

The second workshop of MIST101: How Does a Machine Learn?

MIST101-3: Artificial Neural Networks

The third workshop of MIST101: Artificial Neural Networks

MIST101-4: Overfitting, Underfitting and Regularizations

The fourth workshop of MIST101: Overfitting, Underfitting and Regularizations

MIST101-5: Unsupervised Learning and Clustering

The fifth workshop of MIST101: Unsupervised Learning and Clustering

MIST102-1: Convolutional Neural Networks

The first workshop of MIST102: Convolutional Neural Networks

MIST102-2: Recurrent Neural Networks

The second workshop of MIST102: Recurrent Neural Networks

MIST102-3: Reinforcement Learning

The third workshop of MIST102: Reinforcement Learning

Ethics in AI Speaker Panel

Ethics in AI Speaker Panel

Breaking into AI: Industry Speaker Panel

AI Industry Speaker Panel

Annual General Meeting (AGM) 2021

Our annual general meeting (AGM) in 2021.

Info Session + ML Career Panel

Info Session + ML Career Panel

Discover AI Mini-Challenge #3

Explore Natural Language Processing & Conversational AI in the Discover AI Mini-Challenge with Microsoft/Agorize.

2021 UTMIST Project Showcase

2021 UTMIST Project Showcase

UTMIST Talk Series | ML for 3D Perception: Differentiating and Embedding Imaging Systems for Deep Learning

A talk by Wenzheng Chen about his research that integrates computational photography and deep learning.

UTMIST x AMD: How Machine Learning Transforms Gaming Experiences

A seminar with Max Kiehn, Fellow Engineer and ML Technical Lead at AMD, on how AMD uses ML to automate gameplay testing, followed by a firechat session with Mattieu Chan Chee, ML Intern at AMD.

Entrepreneurship in AI: Democratized Online Learning by Korbit AI

Korbit AI's workshop about about how they personalized online education with artificial intelligence.

Entrepreneurship in AI: How Untether AI Transforms Computing

A series of talks by founders and researchers from Untether AI about how they built a transformative AI chipset.

UTMIST Talk Series | ML for Genomic Data Analysis: Segway and the Graphical Models Toolkit

A seminar by Professor Michael Hoffman about how machine learning impacts the study of computational biology and genomics.

ML Project Matchmaking Day

A social event for inspiration, advice, and team forming.

Deep Dive into Machine Learning with AWS DeepRacer

A showcase of AWS DeepRacer, an autonomous race car powered by reinforcement learning

Annual General Meeting (AGM) 2020

Our annual general meeting (AGM) in 2020.

industry-talks

UTMIST x AMD: How Machine Learning Transforms Gaming Experiences

A seminar with Max Kiehn, Fellow Engineer and ML Technical Lead at AMD, on how AMD uses ML to automate gameplay testing, followed by a firechat session with Mattieu Chan Chee, ML Intern at AMD.

infrastructure

utmist.gitlab.io

GitLab Pages Website for UTMIST.

MISTR

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

Scheduler

Wrapper written around SchedJulia to schedule interviews.

utmist.github.io

GitHub Pages Website for UTMIST.

microsoft-discover-ai

Discover AI Mini-Challenge #3

Explore Natural Language Processing & Conversational AI in the Discover AI Mini-Challenge with Microsoft/Agorize.

mist101

MIST101/102 Instructions

MIST101/102 Instructions

MIST101-1: Intro to Machine Intelligence

The first workshop of MIST101: Into the Mist of Machine Intelligence.

MIST101-2: How Does a Machine Learn?

The second workshop of MIST101: How Does a Machine Learn?

MIST101-3: Artificial Neural Networks

The third workshop of MIST101: Artificial Neural Networks

MIST101-4: Overfitting, Underfitting and Regularizations

The fourth workshop of MIST101: Overfitting, Underfitting and Regularizations

MIST101-5: Unsupervised Learning and Clustering

The fifth workshop of MIST101: Unsupervised Learning and Clustering

MIST102-1: Convolutional Neural Networks

The first workshop of MIST102: Convolutional Neural Networks

MIST102-2: Recurrent Neural Networks

The second workshop of MIST102: Recurrent Neural Networks

MIST102-3: Reinforcement Learning

The third workshop of MIST102: Reinforcement Learning

Ethics in AI Speaker Panel

Ethics in AI Speaker Panel

Breaking into AI: Industry Speaker Panel

AI Industry Speaker Panel

Annual General Meeting (AGM) 2021

Our annual general meeting (AGM) in 2021.

Deep Dive into Machine Learning with AWS DeepRacer

A showcase of AWS DeepRacer, an autonomous race car powered by reinforcement learning

Annual General Meeting (AGM) 2020

Our annual general meeting (AGM) in 2020.

project-matchmaking-day

ML Project Matchmaking Day

A social event for inspiration, advice, and team forming.

projects

AudioTech Refiner: Eliminating Noise and Distortion in Low-Bandwidth Audio

Improving Quality of Online Voice Calls

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

WallStreetBots: Stock Price Prediction

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

Projects (2021-2022)

Our Projects in 2021-2022

Academics & Research

Department of Academics & Research

Engineering

Department of Engineering

Infrastructure

Department of Infrastructure

Leading a Project

A Guide to Brainstorming and Leading a Project.

Projects (2020-2021)

Our Projects in 2020-2021

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]**

utmist.gitlab.io

GitLab Pages Website for UTMIST.

Projects (2019-2020)

Our projects in 2019-2020

Academics & Research

Department of Academics & Research

Engineering

Department of Engineering

Infrastructure

Department of Infrastructure

NeurIPS 2019 Reproducibility: SMILe

Reproducing SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies (Zemel et al.)

MISTR

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

Scheduler

Wrapper written around SchedJulia to schedule interviews.

Projects (2018-2019)

Our projects in 2018-2019

Academics (2019-2020)

Department of Academics

Infrastructure (2020)

Department of Infrastructure

ICLR 2019 Reproducibility: Alarm Forgetting Example

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)

ICLR 2019 Reproducibility: Initialized Equilibrium Propagation

Reproducing Initialized Equilibrium Propagation for Backprop-free Training (Peter O'Connor, Efstratios Gavves, Max Welling)

utmist.github.io

GitHub Pages Website for UTMIST.

Recruitment

Info Session + ML Career Panel

Info Session + ML Career Panel