用 Python 编写的 Facebook AI Research Sequence-to-Sequence Toolkit
Python · active 2023-08-15 → 2026-08-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1093 days from 2023-08-15 to 2026-08-11. Pushes: 68 total, peak 4 in a day. Pull requests: 120 total, peak 10 in a day. Issues: 315 total, peak 5 in a day. Comments: 706 total, peak 16 in a day. Stars: 5,420 total, peak 25 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 |
|---|---|---|---|---|
| facebook-github-bot | 53 | 0 | 0 | 53 |
| lisjin | 43 | 43 | 0 | 0 |
| vineelpratap | 33 | 7 | 7 | 17 |
| takagada480 | 28 | 0 | 16 | 12 |
| cbalioglu | 20 | 7 | 8 | 1 |
| XR1988 | 19 | 0 | 0 | 18 |
| EomSooHwan | 16 | 0 | 0 | 10 |
| zhhl9101 | 13 | 0 | 0 | 8 |
| GUOhm230 | 11 | 0 | 0 | 11 |
| elisonlau | 11 | 0 | 0 | 4 |
| annasun28 | 10 | 1 | 1 | 5 |
| Beterng | 9 | 0 | 0 | 4 |
| henrycharlesworth | 9 | 0 | 4 | 1 |
| avidale | 9 | 0 | 1 | 8 |
| bigfootjon | 8 | 2 | 6 | 0 |
| krgy12138 | 8 | 0 | 0 | 5 |
| ElinLiu0 | 7 | 0 | 0 | 3 |
| abarcovschi | 7 | 0 | 1 | 4 |
| 9seven | 7 | 0 | 0 | 5 |
| contens3 | 7 | 0 | 0 | 6 |
Recent activity
Latest issues, pull requests and releases
- Issue#5654ardeal2026-03-17 07:32how much GPU RAM is needed to run this model?
- Issue#5654ardeal2026-03-17 07:32how much GPU RAM is needed to run this model?
- Pull request#5653kay1-2-32026-03-16 20:43
- Issue#5651AustereTriceratops2026-02-27 18:26Dependency conflict between fairseq and hydra during installation
- Issue#5647wbag69966-cell2026-02-12 05:02License Clarification for NLLB-200: Usage in Government-Funded Public Service
- Issue#5647wbag69966-cell2026-02-12 05:02License Clarification for NLLB-200: Usage in Government-Funded Public Service
- Issue comment#5645Mr-Neutr0n2026-02-09 08:22Fix NumPy 1.24+ compatibility: replace deprecated np.float
- Pull request#5645meta-cla[bot]2026-02-05 21:01
- Pull request#5645Mr-Neutr0n2026-02-05 20:51
- Pull request#5644meta-cla[bot]2026-01-15 09:48
- Issue comment#5633avidale2025-12-29 19:29Is there a path for Commercial license for a fine-tuned version of NLLB-200?
- Issue#5642raotnameh2025-12-10 17:08apply_mask in HuBERT does not apply expected percentage of masks if the input shapes differ. which is true in the case of fintuning.
- Issue#5642raotnameh2025-12-10 17:08apply_mask in HuBERT does not apply expected percentage of masks if the input shapes differ. which is true in the case of fintuning.
- Issue#5641WangXD-82025-11-13 06:57About being unable to import SamePad
- Issue#5641WangXD-82025-11-13 06:34About being unable to import SamePad
- Issue#5641WangXD-82025-11-13 06:34About being unable to import SamePad
- Issue comment#5532VJJJJJJ12025-11-05 03:18Overflow issue with Fairseq Preprocess for large datasets
- Issue comment#5634Xudangliatiger2025-11-02 19:52Add support for Python 3.12+
- Issue comment#5627KiarashQ2025-10-26 11:32ModuleNotFoundError: No module named 'examples'
- Issue comment#4767meta-cla[bot]2025-10-22 22:11Fix Must-C data preprocessing
- Issue comment#5637PiechockiF2025-10-21 22:46All albanian models are broken
- Issue comment#5637PiechockiF2025-10-21 22:42All albanian models are broken
- Issue comment#5552emmalily12452025-10-15 03:17Error when installing fairseq
- Issue comment#5611freddy55662025-09-30 11:19Pt2.6 compatibility
- Issue#5610cbalioglu2025-09-30 11:16External torch.hub.load('pytorch/fairseq:main', 'xlmr.large') causes WeightsUnpickler error for PyTorch version 2.6
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5,420 stars here means stars gained during the window, not the repo's star count.