[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Python · active 2024-12-10 → 2026-05-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 514 days from 2024-12-10 to 2026-05-07. Pushes: 113 total, peak 20 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 16 total, peak 1 in a day. Comments: 50 total, peak 4 in a day. Stars: 168 total, peak 6 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 |
|---|---|---|---|---|
| wjq-learning | 133 | 113 | 0 | 20 |
| ChenHu-ML | 8 | 0 | 0 | 6 |
| dyhan316 | 4 | 0 | 0 | 4 |
| yahyunee | 4 | 0 | 0 | 2 |
| starrrrrrrrr2088 | 4 | 0 | 0 | 2 |
| brshook2023 | 4 | 0 | 0 | 2 |
| Marseeg | 3 | 0 | 0 | 2 |
| zer02her0 | 2 | 0 | 0 | 1 |
| TheNorthS | 2 | 0 | 0 | 1 |
| ingo-m | 2 | 0 | 0 | 2 |
| Boltzmachine | 1 | 0 | 0 | 1 |
| changjie98 | 1 | 0 | 0 | 1 |
| nothingwdnmd | 1 | 0 | 0 | 1 |
| yzblacia | 1 | 0 | 0 | 1 |
| meghalD | 1 | 0 | 0 | 1 |
| sigureling | 1 | 0 | 0 | 0 |
| MengnaDing-hhhz | 1 | 0 | 0 | 1 |
| JQW1234 | 1 | 0 | 0 | 0 |
| kietdoan | 1 | 0 | 0 | 1 |
| wjz114 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#28JQW12342026-04-18 04:43预训练数据规模
- Issue comment#1changjie982026-03-06 11:17How to fine-tune pretrained model on downstream dataset?
- Issue comment#19wjz1142026-02-05 19:11Question about parameter count
- Issue comment#23Boltzmachine2026-02-03 21:25Where to download the preprocessed dataset?
- Issue comment#22ChenHu-ML2025-11-18 03:51在FACED数据集上不加载预训练权重训练模型，结果异常
- Issue#22trefoil02192025-11-15 06:53在FACED数据集上不加载预训练权重训练模型，结果异常
- Issue#21lian02292025-11-06 03:17关于论文中Table 15: The results of different methods on motor imagery classification (BCIC-IV-2a, 4-class)
- Issue comment#13nothingwdnmd2025-09-12 09:28微调mumtaz2016数据集的一些问题
- Issue comment#18brshook20232025-08-31 20:55Bad performance when finetuning on speech dataset
- Issue#19brshook20232025-08-31 20:52Question about parameter count
- Issue comment#18brshook20232025-08-31 20:46Bad performance when finetuning on speech dataset
- Issue comment#16MengnaDing-hhhz2025-08-31 03:14Low accuracy when finetuning with pretrained weights on TUAB dataset
- Issue#18brshook20232025-08-25 18:42Bad performance when finetuning on speech dataset
- Issue comment#13Marseeg2025-08-05 08:43微调mumtaz2016数据集的一些问题
- Issue comment#13kietdoan2025-08-05 07:57微调mumtaz2016数据集的一些问题
- Issue#17sigureling2025-07-28 12:22lower accuracy when finetuning on Physio dataset
- Issue comment#13Marseeg2025-06-15 11:59微调mumtaz2016数据集的一些问题
- Issue comment#7ingo-m2025-06-14 14:49To clarrfy about the number of channels to use and how to finetune?
- Issue comment#13wjq-learning2025-06-13 15:17微调mumtaz2016数据集的一些问题
- Issue comment#14yzblacia2025-06-13 04:27在FACED数据集上复现微调代码得到的结果非常不理想
- Issue comment#14wjq-learning2025-06-13 04:14在FACED数据集上复现微调代码得到的结果非常不理想
- Issue comment#7ingo-m2025-06-12 15:17To clarrfy about the number of channels to use and how to finetune?
- Issue comment#13wjq-learning2025-06-06 04:10微调mumtaz2016数据集的一些问题
- Issue#13Marseeg2025-06-05 09:06微调mumtaz2016数据集的一些问题
- Issue comment#12wjq-learning2025-06-01 14:20Accuracy on TUAB Lower Than Reported Despite Following Setup
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 168 stars here means stars gained during the window, not the repo's star count.