Badri-Narayanan-Ramesh/Deep-Learning-for-American-Sign-Language-Detection-ASL-
View on GitHub ↗Related repositories →This repository detects American Sign Language (ASL) gestures using deep learning models in PyTorch, including CNN, VGG16, GoogLeNet, ResNet50, MobileNetV2, and DinoV2. It performs a comparative study and uses SVM with DinoV2. The project also features a web application built with TensorFlow and Gradio for interactive ASL recognition.
active 2024-12-15 → 2024-12-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-12-15 to 2024-12-15. Pushes: 6 total, peak 6 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 |
|---|---|---|---|---|
| Badri-Narayanan-Ramesh | 5 | 5 | 0 | 0 |
| vivin1max | 1 | 1 | 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.