Course Projects Showcase
The final project is the most important as well as the most fun part of the course. Students worked individually or in pairs over the duration of the course to complete a project involving any part of the full stack of deep learning.
The Top 10 projects, as selected by our course TAs, we viewed together with everyone, and posted the video on YouTube.
The details of these and other projects are below
Artificial Manga Panel Dataset
- By Aasim Sani
- GitHub Page
- Project Report
- Video Presentations: Part 1 and Part 2
Breast Cancer Detection Assistant
- By Harish Narayanan and Daniel Hen
- Project Report
- Source Code
- Video Presentation
- ML Video Presentation
Human Protein Atlas Single Cell Classification
- By Dariusz Kleczek
- Report
- Video Presentation
A Case Study on Weakly Supervised Learning
- By Jacques Thibodeau, Arian Pasquali, and Kevin Koehncke
- Project Report
- Source Code
- Video Presentation
Real-Time Nail Biting Alerter
- By Jean-Marie Prigent
- Netlify Site
- Source Code
- Video Presentation
YouTube Highlighter for Creators and Their Supporters
- By Keno Harada
- Slides
- Source Code
- Video Presentation
- Blog Post (in Japanese)
Neural Rock
- By Lukas Mosser and co.
- Source Code
- Video Presentation
Unity Machine Learning Agents
- By Paul Solomon
- Source Code
- Video Presentation
Sitting Posture Coach
- By Peter De Roovere
- Source Code
- Video Presentation
Intel Scene Classification
Bird Song Classifier
- By Wendy Mak
- Report
- Streamlit App
Detecting Deforestation from Satellite Images
- By Andre Ferreira and Karthik Bhaskar
- Video
- Report
- Code
Active Learning: A Systematic Investigation
Drought Watch
- By Sambhavi Dhanabalan
- Video: Part 1 and Part 2
- Report
- Code
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