active 2025-08-27 → 2025-09-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 24 days from 2025-08-27 to 2025-09-19. Pushes: 18 total, peak 5 in a day. Pull requests: 12 total, peak 2 in a day. Issues: 13 total, peak 4 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
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 |
|---|---|---|---|---|
| d-leeee | 43 | 18 | 12 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#26d-leeee2025-09-19 20:04
- Pull request#26d-leeee2025-09-19 20:03
- Issue#25d-leeee2025-09-18 01:20front end able to submit multiple jobs at once
- Issue#23d-leeee2025-09-18 01:19front end outputs
- Pull request#22d-leeee2025-09-18 01:19
- Issue#21d-leeee2025-09-17 00:36create front end design
- Pull request#20d-leeee2025-09-11 15:39
- Issue#7d-leeee2025-09-07 21:02Add fault tolerance (if a worker dies, reassign its job).
- Pull request#19d-leeee2025-09-07 21:02
- Pull request#19d-leeee2025-09-07 21:02
- Issue#8d-leeee2025-09-03 16:28Benchmark single-node vs distributed training (time to convergence, accuracy).
- Pull request#18d-leeee2025-09-03 16:28
- Pull request#18d-leeee2025-09-03 16:28
- Issue#4d-leeee2025-09-01 18:20Add multiple workers (simulate on one machine, or multiple Docker containers).
- Pull request#17d-leeee2025-09-01 18:20
- Issue#15d-leeee2025-08-29 19:53benchmark default and hyperparameter tuned algorithms
- Pull request#16d-leeee2025-08-29 19:53
- Pull request#16d-leeee2025-08-29 19:53
- Issue#15d-leeee2025-08-29 02:20benchmark default and hyperparameter tuned algorithms
- Issue#13d-leeee2025-08-28 02:21Create Training Model
- Pull request#12d-leeee2025-08-28 02:19
- Issue#7d-leeee2025-08-27 20:58Add fault tolerance (if a worker dies, reassign its job).
- Issue#6d-leeee2025-08-27 20:58Support neural networks (e.g., CNN on MNIST, text classifier on IMDB).
- Issue#5d-leeee2025-08-27 20:57Implement data-parallel training:
- Issue#3d-leeee2025-08-27 20:57Store results in Redis/Postgres.
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.