MIT Applied Data Science Program Capstone: The goal of this project was to use Deep Learning and Artificial Intelligence techniques to create a computer vision model that can accurately detect facial expressions. For this project, I was asked to create various models: two basic CNN models, a Vgg16 model, a ResNetv2 model, and an EfficientNet model.
active 2023-08-20 → 2024-05-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 281 days from 2023-08-20 to 2024-05-26. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| deepikaa-sriram | 4 | 4 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.