An unofficial implementation of DeepVQE proposeed by Microsoft Corp.
active 2023-10-15 → 2026-04-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 916 days from 2023-10-15 to 2026-04-17. Pushes: 16 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 14 total, peak 4 in a day. Comments: 23 total, peak 4 in a day. Stars: 69 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 |
|---|---|---|---|---|
| Xiaobin-Rong | 30 | 16 | 0 | 11 |
| SherryYu33 | 7 | 0 | 0 | 3 |
| lin-sh | 4 | 0 | 0 | 2 |
| AlanCc1994 | 3 | 0 | 0 | 2 |
| steven8274 | 2 | 0 | 0 | 1 |
| shenbuguanni | 2 | 0 | 0 | 1 |
| Ryanzlay | 1 | 0 | 0 | 1 |
| matiiin | 1 | 0 | 0 | 0 |
| jackyyigao | 1 | 0 | 0 | 1 |
| SEMLLYCAT | 1 | 0 | 0 | 1 |
| kenny1109 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#14Xiaobin-Rong2025-08-06 10:25The performance of AEC training is collapsed
- Issue#15kenny11092025-08-03 06:58the target parameters of the pre-trained model
- Issue comment#13AlanCc19942025-07-17 07:01How to make training samples to let the model have the ability to dereveberate and get a stable model
- Issue comment#14Xiaobin-Rong2025-07-02 11:53The performance of AEC training is collapsed
- Issue#10Xiaobin-Rong2025-04-03 03:12请问Pre-trained checkpoint在哪可以找到？
- Issue comment#12Xiaobin-Rong2025-04-03 03:12关于流式处理中为什么decoder部分的conv2d为什么不用变成streamConv2d？
- Issue#12Xiaobin-Rong2025-04-03 03:12关于流式处理中为什么decoder部分的conv2d为什么不用变成streamConv2d？
- Issue comment#12AlanCc19942025-04-03 03:00关于流式处理中为什么decoder部分的conv2d为什么不用变成streamConv2d？
- Issue comment#12Xiaobin-Rong2025-04-03 02:35关于流式处理中为什么decoder部分的conv2d为什么不用变成streamConv2d？
- Issue#12AlanCc19942025-04-03 01:18关于流式处理中为什么decoder部分的conv2d为什么不用变成streamConv2d？
- Issue comment#4jackyyigao2024-08-21 07:51Concern about Dimension Mismatch in AlignBlock: Input 128, Output 256, Subsequent Layer Design for 128?
- Issue#7matiiin2024-05-11 07:57do you have TF-Grid net code?
- Issue comment#5SEMLLYCAT2024-01-10 06:10有关StreamConvTranspose2d的一个问题
- Issue comment#5SherryYu332024-01-10 02:38有关StreamConvTranspose2d的一个问题
- Issue comment#5Xiaobin-Rong2024-01-09 11:11有关StreamConvTranspose2d的一个问题
- Issue#5SherryYu332024-01-02 08:03有关StreamConvTranspose2d的一个问题
- Issue comment#5Xiaobin-Rong2024-01-02 07:19有关StreamConvTranspose2d的一个问题
- Issue comment#5SherryYu332024-01-02 06:43有关StreamConvTranspose2d的一个问题
- Issue#5SherryYu332024-01-02 06:43有关StreamConvTranspose2d的一个问题
- Issue comment#5SherryYu332024-01-02 06:12有关StreamConvTranspose2d的一个问题
- Issue#5SherryYu332024-01-02 06:12有关StreamConvTranspose2d的一个问题
- Issue comment#5Xiaobin-Rong2024-01-02 03:58有关StreamConvTranspose2d的一个问题
- Issue#5SherryYu332024-01-02 01:56有关StreamConvTranspose2d的一个问题
- Issue comment#4Ryanzlay2023-12-15 02:46Concern about Dimension Mismatch in AlignBlock: Input 128, Output 256, Subsequent Layer Design for 128?
- Issue comment#4Xiaobin-Rong2023-11-29 02:57Concern about Dimension Mismatch in AlignBlock: Input 128, Output 256, Subsequent Layer Design for 128?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 69 stars here means stars gained during the window, not the repo's star count.