MIE 324 is a new course in the Engineering Science Machine Intelligence Major, launched at the University of Toronto Faculty of Applied Science and Engineering in September 2018. The purpose of the course is to provide an overview of the intuition and software engineering needed to build deep neural network-based models. A key part of the course is projects, conceived and executed by the students. This page serves as an archive for the final video presentations of those projects, the final reports and the source code for those projects that the students have given their permission to post. Below is the set of projects.
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Project Name: Clairvoyance - An Automated Image Selection and Post-Processing Tool
Students: Kevin Zhang and Morris Chen
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Project Name: Hawk Eye - Object Detection Using Lidar for Self-Driving Cars
Students: Phillip Huang and Allan Liu
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Project Name: Music Genre - Automatic Classification of Music Types
Students: Robert Adragna and Huang Hong (Bill) Sun
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Project Name: SparseLang - Exploring Sparsity of Connections in RNN-Based Language Models
Students: Qingyang Guo and Yongchao Zhou
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Project Name: SPINN - Simple Pun Detection and Location
Students: Yan (Tina) He and Yu Shen (Lucy) Lu
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Project Name: Enhance - A Generative Adversarial Network for Image Upscaling
Students: Saad Jameel and Mohammad Mustafa Arif
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Project Name: WAYLA - What Are You Looking At? Predicting what a person will pay attention to in a picture.
Students: Jin Peng Zhou and Hengrui Jia
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Project Name: SortingHat - An Intelligent Waste Item Classification Software
Students: Bob Cui and Marko Huang
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Project Name: ASL - American Sign Language Recognition
Students: Anna Deza and Danial Jason
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Project Name: Shift - Predicting Future Performance of Professional Hockey Players
Students: Jacob Mosseri and Christopher Mazzuca
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Project Name: AlgoRythm - Generation of Piano Music
Students: Jennifer Guo and Jason Shang
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Project Name: MoveMI - Hand Gesture Prediction based on Electromyography
Students: Jay Jaewon Yoo and David Zhang
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Project Name: Uncle Penny Bags - Prediction of Housing Prices based on Pictures and Location
Students: Oliver Liang and Diana Escoboza Salazar
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Project Name: Check This Out - Suggesting Video Games Based on Descriptions and Favourites
Students: Zhi Cheng and Yudong Xu
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Project Name: High HOEPS - Prediction of Real-Time Electrical Energy Prices in Ontario
Students: Sam Harrison and Yanchen Ma
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Project Name: MISweeper - A Deep Learning Approach to Astronomical Time-Series Classification
Students: Graham Hoyes and Daniil Orekhov
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Project Name: TimeMachiNet - Prediction of Human Image at Different Ages
Students: Woo Sik Kim and Anup Deb
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