The UofT Machine Intelligence Student Team Runner (MISTR) is a Discord bot serving the UTMIST Discord server.
Explore Natural Language Processing & Conversational AI in the Discover AI Mini-Challenge with Microsoft/Agorize.
A talk by Wenzheng Chen about his research that integrates computational photography and deep learning.
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.
Korbit AI's workshop about about how they personalized online education with artificial intelligence.
A series of talks by founders and researchers from Untether AI about how they built a transformative AI chipset.
A seminar by Professor Michael Hoffman about how machine learning impacts the study of computational biology and genomics.
A showcase of AWS DeepRacer, an autonomous race car powered by reinforcement learning
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.
Real estate price prediction and transfer learning with CNNs.
An applied ML NLP project designed to win Cards Against Humanity, a popular humor-based party game. **[Full]**
Price prediction and portfolio/market analysis using NLP and reinforcement learning.
Real estate price prediction on a real-time dataset.
An application of deep convolutional neural network model to specify cardiovascular diseases via analyzing ECG
From Zero to Hero - Intro to Python AI Workshop
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
UTMIST presents its 8 projects from 2022 and 2 invited ICML/ICLR speakers.
Internal project review with academia and industry advisors.
Providing an ML solution for the turbine audibility problem to Aercoustics Ltd.
UTMIST collaborates with GitHub in leading a tech workshop to dive deeper into the world of Open Source Machine Learning
Continuation of 2021’s WallStreetBots with a twist -- crypto price prediction.
Reconstructing the 12-lead ECG information from only 2-3 lead signals.
Using Neural Radiance Fields for Luxury E-commerce.
Tackling colourization of black and white images with CNNs.
Use Deep Learning to reduce noise in computer generated imagery.
Recommend fashion fits with Neutral Collaborative Filtering.
Understanding hashing in the context of Implicit Neural Representations.
Use Quantum ML to preserve quality of sparse signals.
Use sequence modelling and DRL to create a real time trading system.
A talk by Wenzheng Chen about his research that integrates computational photography and deep learning.
A seminar by Professor Michael Hoffman about how machine learning impacts the study of computational biology and genomics.
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.
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.
Using Neural Radiance Fields for Luxury E-commerce.
Tackling colourization of black and white images with CNNs.
Use Deep Learning to reduce noise in computer generated imagery.
Recommend fashion fits with Neutral Collaborative Filtering.
Understanding hashing in the context of Implicit Neural Representations.
Use Quantum ML to preserve quality of sparse signals.
Use sequence modelling and DRL to create a real time trading system.
Providing an ML solution for the turbine audibility problem to Aercoustics Ltd.
Continuation of 2021’s WallStreetBots with a twist -- crypto price prediction.
Reconstructing the 12-lead ECG information from only 2-3 lead signals.
Price prediction and portfolio/market analysis using NLP and reinforcement learning.
Real estate price prediction on a real-time dataset.
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
Developing hand gesture detection for controlling web browsing.
Real estate price prediction and transfer learning with CNNs.
Korbit AI's workshop about about how they personalized online education with artificial intelligence.
A series of talks by founders and researchers from Untether AI about how they built a transformative AI chipset.
UTMIST presents its 8 projects from 2022 and 2 invited ICML/ICLR speakers.
Internal project review with academia and industry advisors.
UTMIST collaborates with GitHub in leading a tech workshop to dive deeper into the world of Open Source Machine Learning
From Zero to Hero - Intro to Python AI Workshop
Explore Natural Language Processing & Conversational AI in the Discover AI Mini-Challenge with Microsoft/Agorize.
A talk by Wenzheng Chen about his research that integrates computational photography and deep learning.
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.
Korbit AI's workshop about about how they personalized online education with artificial intelligence.
A series of talks by founders and researchers from Untether AI about how they built a transformative AI chipset.
A seminar by Professor Michael Hoffman about how machine learning impacts the study of computational biology and genomics.
A showcase of AWS DeepRacer, an autonomous race car powered by reinforcement learning
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.
Explore Natural Language Processing & Conversational AI in the Discover AI Mini-Challenge with Microsoft/Agorize.
From Zero to Hero - Intro to Python AI Workshop
A showcase of AWS DeepRacer, an autonomous race car powered by reinforcement learning
Using Neural Radiance Fields for Luxury E-commerce.
Tackling colourization of black and white images with CNNs.
Use Deep Learning to reduce noise in computer generated imagery.
Recommend fashion fits with Neutral Collaborative Filtering.
Understanding hashing in the context of Implicit Neural Representations.
Use Quantum ML to preserve quality of sparse signals.
Use sequence modelling and DRL to create a real time trading system.
Internal project review with academia and industry advisors.
Providing an ML solution for the turbine audibility problem to Aercoustics Ltd.
Continuation of 2021’s WallStreetBots with a twist -- crypto price prediction.
Reconstructing the 12-lead ECG information from only 2-3 lead signals.
Price prediction and portfolio/market analysis using NLP and reinforcement learning.
Real estate price prediction on a real-time dataset.
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
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.
Real estate price prediction and transfer learning with CNNs.
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.
UTMIST presents its 8 projects from 2022 and 2 invited ICML/ICLR speakers.
