A repo for holding example code
active 2023-08-18 → 2026-06-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1027 days from 2023-08-18 to 2026-06-09. Pushes: 5 total, peak 2 in a day. Pull requests: 12 total, peak 5 in a day. Issues: 5 total, peak 2 in a day. Comments: 7 total, peak 3 in a day. Stars: 36 total, peak 1 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 |
|---|---|---|---|---|
| zjost | 20 | 5 | 10 | 2 |
| dependabot[bot] | 6 | 0 | 2 | 4 |
| yassir156 | 2 | 0 | 0 | 1 |
| utkarsh0902311047 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#19dependabot[bot]2025-05-30 18:20
- Pull request#18dependabot[bot]2025-04-18 16:23
- Pull request#17zjost2025-04-03 04:48
- Pull request#17zjost2025-04-03 04:48
- Issue comment#15dependabot[bot]2025-04-02 05:08Bump torch from 1.5.0 to 2.4.0 in /gcn_citeseer
- Pull request#15zjost2025-04-02 05:02
- Pull request#16zjost2025-03-30 23:56
- Pull request#16zjost2025-03-27 15:10
- Issue comment#10dependabot[bot]2025-03-20 04:38Bump ipython from 7.16.3 to 8.10.0 in /gcn_citeseer
- Issue comment#9dependabot[bot]2025-03-20 04:38Bump numpy from 1.18.1 to 1.22.0 in /gcn_citeseer
- Issue comment#8dependabot[bot]2025-03-20 04:38Bump numpy from 1.17.4 to 1.22.0 in /adversarial_validation
- Pull request#9zjost2025-03-20 04:38
- Pull request#10zjost2025-03-20 04:38
- Pull request#8zjost2025-03-20 04:38
- Issue#13zjost2025-03-20 04:37i have an error in 'Jp = xent(predp, labels).mean() + wd_term'. (IndexError Traceback (most recent call last) Cell In[52], line 1 ----> 1 dW_approx = get_grads((gcn1_out,), sm1, "W", labels, eps=1e-4, wd=opt.wd) 2 db_approx = get_grads((gcn1_out,), sm1, "b", labels, eps=1e-4, wd=opt.wd) Cell In[50], line 16 14 wd_term = wd/2*(cp_flat**2).sum() / labels.shape[0] 15 #print(wd_term) ---> 16 Jp = xent(predp, labels).mean() + wd_term 18 # J(thet
- Pull request#14zjost2025-03-20 04:37
- Pull request#14zjost2025-03-20 04:37
- Issue comment#13yassir1562024-02-27 14:15i have an error in 'Jp = xent(predp, labels).mean() + wd_term'. (IndexError Traceback (most recent call last) Cell In[52], line 1 ----> 1 dW_approx = get_grads((gcn1_out,), sm1, "W", labels, eps=1e-4, wd=opt.wd) 2 db_approx = get_grads((gcn1_out,), sm1, "b", labels, eps=1e-4, wd=opt.wd) Cell In[50], line 16 14 wd_term = wd/2*(cp_flat**2).sum() / labels.shape[0] 15 #print(wd_term) ---> 16 Jp = xent(predp, labels).mean() + wd_term 18 # J(thet
- Issue#13yassir1562024-02-27 14:12i have an error in 'Jp = xent(predp, labels).mean() + wd_term'
- Issue comment#12zjost2023-09-05 18:00Why is there no bias in the output of GCN layer and why there is linear layer before softmax implementation?
- Issue#12zjost2023-09-05 18:00Why is there no bias in the output of GCN layer and why there is linear layer before softmax implementation?
- Issue#11zjost2023-08-29 14:13Difficulty in understanding xent function
- Issue comment#11zjost2023-08-29 14:13Difficulty in understanding xent function
- Issue#11utkarsh09023110472023-08-29 08:53Difficulty in understanding xent function
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 36 stars here means stars gained during the window, not the repo's star count.