active 2024-12-23 → 2025-08-05 (UTC)
Partial coverage12,581 / 14,303 hourly files (88%) · 2 absent upstream · 1,716 failed, retryable2024-12-23 → 2026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
138
Pushes
10
Pull requests
0
Issues
16
Stars
95
Forks
2
Activity over time
Daily event counts in the loaded window
Line chart, 226 days from 2024-12-23 to 2025-08-05. Pushes: 10 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 16 total, peak 3 in a day. Comments: 15 total, peak 5 in a day. Stars: 95 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| QuLiao1117 | 20 | 9 | 0 | 9 |
| tianzhangwu | 10 | 0 | 0 | 4 |
| HalvesChen | 5 | 0 | 0 | 2 |
| invoker-LL | 2 | 0 | 0 | 0 |
| cpaaax | 1 | 0 | 0 | 0 |
| silvercherry | 1 | 0 | 0 | 0 |
| lavinal712 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#27HalvesChen2025-07-26 03:37W/O MSVQ version
- Issue#25HalvesChen2025-01-17 02:56About img_size
- Issue comment#24QuLiao11172025-01-16 06:34CLIP ViT-B/14 in the paper, but ViT-B/16 in the code.
- Issue#24tianzhangwu2025-01-16 03:48CLIP ViT-B/14 in the paper, but ViT-B/16 in the code.
- Issue#21tianzhangwu2025-01-15 06:37About inference image resolution
- Issue#22tianzhangwu2025-01-15 06:37The reconstruction loss increases when adding discriminator loss
- Issue#18QuLiao11172025-01-13 02:28about OCR reconstruction
- Issue comment#19HalvesChen2025-01-11 08:56Training data for tokenizer
- Issue comment#19HalvesChen2025-01-10 05:53Training data for tokenizer
- Issue#20tianzhangwu2025-01-10 03:37About face data
- Issue comment#19QuLiao11172025-01-10 03:20Training data for tokenizer
- Issue#19HalvesChen2025-01-10 01:52Training data for tokenizer
- Issue#16QuLiao11172025-01-08 07:52How to control feature input strategies in the released code?
- Issue comment#16tianzhangwu2025-01-08 07:51How to control feature input strategies in the released code?
- Issue comment#16QuLiao11172025-01-08 07:30How to control feature input strategies in the released code?
- Issue#17tianzhangwu2025-01-08 07:26Is there a timetable for single-scale version of TokenFlow?
- Issue comment#16tianzhangwu2025-01-08 07:22How to control feature input strategies in the released code?
- Issue comment#16tianzhangwu2025-01-08 07:08How to control feature input strategies in the released code?
- Issue comment#16QuLiao11172025-01-08 06:51How to control feature input strategies in the released code?
- Issue#11cpaaax2025-01-08 02:28Release the single-scale version of TokenFlow B/L
- Issue#15lavinal7122025-01-07 02:52The direct application of this method to VAE
- Issue comment#14QuLiao11172025-01-06 07:05The final input to the LLM is still a continuous feature representation for i2t
- Issue comment#14tianzhangwu2025-01-06 06:51The final input to the LLM is still a continuous feature representation for i2t
- Issue comment#14QuLiao11172025-01-06 06:45The final input to the LLM is still a continuous feature representation for i2t
- Issue#14tianzhangwu2025-01-06 06:34The final input to the LLM is still a continuous feature representation for i2t
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 95 stars here means stars gained during the window, not the repo's star count.