LeetCode Rating Predictor A Python-based tool that predicts user ratings in LeetCode contests using machine learning. It fetches contest data, processes it, and applies a LSTM model for accurate predictions. Ideal for competitive coders to track and forecast their performance.
active 2023-12-19 → 2026-09-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 998 days from 2023-12-19 to 2026-09-11. Pushes: 194 total, peak 17 in a day. Pull requests: 142 total, peak 5 in a day. Issues: 3 total, peak 2 in a day. Comments: 43 total, peak 5 in a day. Stars: 7 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Sagargupta16 | 194 | 140 | 49 | 3 |
| renovate[bot] | 151 | 54 | 91 | 4 |
| sonarqubecloud[bot] | 36 | 0 | 0 | 36 |
| github-actions[bot] | 2 | 0 | 2 | 0 |
| Copilot | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 7 stars here means stars gained during the window, not the repo's star count.