This repository contains a project for audio genre classification using machine learning models, specifically a Convolutional Neural Network (CNN) and a Transformer model. The project is built with Streamlit for easy deployment of the model for online inference. The models were trained on the GTZAN music genre dataset.
active 2025-02-03 → 2025-02-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2025-02-03 to 2025-02-06. Pushes: 15 total, peak 8 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 |
|---|---|---|---|---|
| bakalianosm | 15 | 15 | 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.