this is Adversary Skill Embeding test code
active 2023-08-15 → 2026-05-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1001 days from 2023-08-15 to 2026-05-11. Pushes: 3 total, peak 1 in a day. Pull requests: 6 total, peak 4 in a day. Issues: 40 total, peak 2 in a day. Comments: 63 total, peak 9 in a day. Stars: 448 total, peak 5 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 |
|---|---|---|---|---|
| xbpeng | 18 | 3 | 4 | 11 |
| yinkangning0124 | 7 | 0 | 0 | 4 |
| Croolch | 6 | 0 | 0 | 4 |
| nicolasfischoeder | 6 | 0 | 0 | 3 |
| learning-github-zgy | 5 | 0 | 0 | 4 |
| Robokan | 5 | 0 | 0 | 2 |
| hhebb | 5 | 0 | 0 | 3 |
| mjdxyr | 4 | 0 | 0 | 2 |
| jianrenw | 4 | 0 | 0 | 0 |
| jonyzhang2023 | 4 | 0 | 0 | 4 |
| DannyChen1994 | 4 | 0 | 0 | 3 |
| interestingzhuo | 3 | 0 | 0 | 2 |
| yoyostudy | 3 | 0 | 0 | 3 |
| MyelinsheathXD | 3 | 0 | 0 | 1 |
| mxllc | 3 | 0 | 0 | 0 |
| ghy0626-design | 2 | 0 | 0 | 2 |
| 1311894932 | 2 | 0 | 0 | 2 |
| 3-body | 2 | 0 | 0 | 1 |
| zhutengjie | 2 | 0 | 0 | 0 |
| liangpan99 | 2 | 0 | 1 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#84HYS-52025-11-25 02:15Is there any instruction or document to talk about how to prepare the dataset in order to ensure the training quality?
- Issue#83MaruGreen2025-09-19 17:24Calculate dof_vel by 2 quaternions
- Pull request#73xbpeng2025-05-07 16:27
- Pull request#59xbpeng2025-05-07 16:27
- Pull request#24xbpeng2025-05-07 16:27
- Pull request#53xbpeng2025-05-07 16:27
- Issue comment#82xbpeng2025-04-11 17:57Why clamp the z from high-level policy?
- Issue comment#72xbpeng2025-04-11 17:55More about motion weights
- Issue#82hyeonseong12025-04-10 11:00Why clamp the z from high-level policy?
- Issue comment#61lq25203622025-02-20 02:31[fbx_sdk install manual] if you stucked in install fbx_sdk for import fbx or other files. check this
- Issue comment#61Gloriabhsfer2024-12-25 13:44[fbx_sdk install manual] if you stucked in install fbx_sdk for import fbx or other files. check this
- Issue#81zhutengjie2024-12-03 11:41Low GPU Power Consumption and Utilization on A800
- Issue#81zhutengjie2024-11-26 14:44Low GPU Power Consumption and Utilization on A800
- Issue comment#61shijiyuanaa2024-09-06 05:53[fbx_sdk install manual] if you stucked in install fbx_sdk for import fbx or other files. check this
- Issue comment#61Hellod0352024-09-06 04:13[fbx_sdk install manual] if you stucked in install fbx_sdk for import fbx or other files. check this
- Issue comment#61xiaohu-art2024-08-22 13:33[fbx_sdk install manual] if you stucked in install fbx_sdk for import fbx or other files. check this
- Issue comment#14VineetTambe2024-08-09 18:34Minor bug: agent is using cuda:0 device no matter what rl_device arg is
- Issue comment#77learning-github-zgy2024-07-25 09:08Training with customized characters
- Issue comment#77Croolch2024-07-25 09:05Training with customized characters
- Issue comment#75Sunrisulfr2024-07-17 11:34Exporting trained motion to BVH or FBX
- Issue comment#78learning-github-zgy2024-07-11 04:22Customized model will stay still
- Issue comment#78learning-github-zgy2024-07-10 14:23Customized model will stay still
- Issue comment#78Croolch2024-07-10 14:10Customized model will stay still
- Issue comment#78learning-github-zgy2024-07-10 12:31Customized model will stay still
- Issue comment#74yinkangning01242024-06-10 05:12the source of the CMU fbx files
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 448 stars here means stars gained during the window, not the repo's star count.