This repository contains a machine learning model for detecting spam emails using Natural Language Processing techniques and Semi-supervised learning, such as Label Propagation, Label Spreading and Self-Learning. The goal is to create an effective and efficient spam detection system that can classify emails as spam or non-spam with high accuracy.
active 2024-01-11 → 2025-02-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 389 days from 2024-01-11 to 2025-02-02. Pushes: 11 total, peak 3 in a day. Pull requests: 6 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 9 total, peak 2 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 |
|---|---|---|---|---|
| Phues | 9 | 3 | 6 | 0 |
| abdelnour13 | 5 | 5 | 0 | 0 |
| abderrahmenex86 | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#3Phues2024-02-10 20:23
- Pull request#3Phues2024-02-10 20:22
- Pull request#2Phues2024-02-10 14:24
- Pull request#2Phues2024-02-10 14:24
- Pull request#1Phues2024-02-09 15:07
- Pull request#1Phues2024-02-09 15:07
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 9 stars here means stars gained during the window, not the repo's star count.