Unofficial Extensions for Official PyTorch implementation of the paper 'Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation'
active 2023-11-01 → 2025-07-29 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 637 days from 2023-11-01 to 2025-07-29. Pushes: 16 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 11 total, peak 2 in a day. Comments: 19 total, peak 5 in a day. Stars: 13 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 |
|---|---|---|---|---|
| thakurnupur | 26 | 16 | 0 | 8 |
| SSerendipityy | 5 | 0 | 0 | 4 |
| Runmbid | 4 | 0 | 0 | 2 |
| orsveri | 3 | 0 | 0 | 1 |
| purentap | 3 | 0 | 0 | 1 |
| fly-dk | 3 | 0 | 0 | 2 |
| yangugu | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#5thakurnupur2025-07-29 05:14How to use I3D to extract frame-level features?
- Issue comment#6purentap2025-04-14 16:52data download speed
- Issue#6purentap2025-04-14 16:52data download speed
- Issue#6purentap2025-04-14 16:36data download speed
- Issue comment#5yangugu2025-03-25 02:01How to use I3D to extract frame-level features?
- Issue comment#5thakurnupur2025-03-25 01:03How to use I3D to extract frame-level features?
- Issue#5yangugu2025-03-04 07:56How to use I3D to extract frame-level features?
- Issue#4Runmbid2024-12-16 12:47Detection results
- Issue comment#4Runmbid2024-12-11 03:21Detection results
- Issue comment#4Runmbid2024-12-11 03:20Detection results
- Issue#4Runmbid2024-12-11 02:54Detection results
- Issue#3thakurnupur2024-10-15 06:31about ccd dataset
- Issue comment#3thakurnupur2024-09-03 16:29about ccd dataset
- Issue comment#3fly-dk2024-08-31 03:50about ccd dataset
- Issue comment#3thakurnupur2024-08-30 18:13about ccd dataset
- Issue comment#3fly-dk2024-08-30 00:04about ccd dataset
- Issue#3fly-dk2024-08-30 00:04about ccd dataset
- Issue comment#2orsveri2024-08-28 12:15Data downloading
- Issue#2orsveri2024-08-28 12:15Data downloading
- Issue comment#2thakurnupur2024-08-27 18:11Data downloading
- Issue#2orsveri2024-08-27 16:19Data downloading
- Issue#1thakurnupur2024-06-02 23:56Hi！When I'm using the code proivided to evaluate the model, it says that the dimension of the features is 950X96 after GAT,and it cames to the error that the integrated features cannot be multiplied with FC dimension(300X128), sry to trouble but I wanna know if you have met similiar situations while testing?
- Issue comment#1thakurnupur2024-04-29 22:32Hi！When I'm using the code proivided to evaluate the model, it says that the dimension of the features is 950X96 after GAT,and it cames to the error that the integrated features cannot be multiplied with FC dimension(300X128), sry to trouble but I wanna know if you have met similiar situations while testing?
- Issue comment#1SSerendipityy2024-04-29 16:00Hi！When I'm using the code proivided to evaluate the model, it says that the dimension of the features is 950X96 after GAT,and it cames to the error that the integrated features cannot be multiplied with FC dimension(300X128), sry to trouble but I wanna know if you have met similiar situations while testing?
- Issue comment#1SSerendipityy2024-04-29 07:29Hi！When I'm using the code proivided to evaluate the model, it says that the dimension of the features is 950X96 after GAT,and it cames to the error that the integrated features cannot be multiplied with FC dimension(300X128), sry to trouble but I wanna know if you have met similiar situations while testing?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.