This repository contains code for a Deep learning model to recognize human activities using sensor data. The model employs LSTM and Convolutional layers to process sensor data and classify various activities such as walking, running, sitting, etc. The code preprocesses the data, trains the model, and evaluates its performance using classification
active 2024-02-16 → 2024-12-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 314 days from 2024-02-16 to 2024-12-25. Pushes: 5 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: 1 total, peak 1 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 |
|---|---|---|---|---|
| TimothyFlorian | 4 | 4 | 0 | 0 |
| sheak9363 | 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 — 1 stars here means stars gained during the window, not the repo's star count.