A modular framework for multimodal cross-cell-type transcriptional regulation models
active 2024-08-21 → 2026-05-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 638 days from 2024-08-21 to 2026-05-20. Pushes: 54 total, peak 5 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 81 total, peak 4 in a day. Comments: 184 total, peak 7 in a day. Stars: 90 total, peak 8 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 |
|---|---|---|---|---|
| fuxialexander | 175 | 54 | 1 | 100 |
| tkisss | 16 | 0 | 0 | 8 |
| taffy-miao | 16 | 0 | 0 | 11 |
| tristan-ka | 10 | 0 | 0 | 7 |
| HelloWorldLTY | 9 | 0 | 0 | 6 |
| faith-ogun | 9 | 0 | 0 | 8 |
| ytang0831 | 7 | 0 | 0 | 5 |
| Pengfei-Dong | 7 | 0 | 0 | 4 |
| asunboi | 6 | 0 | 0 | 0 |
| ryao-mdanderson | 6 | 0 | 0 | 5 |
| amazingma | 6 | 0 | 0 | 2 |
| bugandong | 5 | 0 | 0 | 3 |
| caiquanyou | 5 | 0 | 0 | 4 |
| liameihao | 4 | 0 | 0 | 2 |
| Mengfanfang | 4 | 0 | 0 | 1 |
| jmyslins | 4 | 0 | 0 | 3 |
| flysheeeep | 3 | 0 | 0 | 2 |
| Lulu0015 | 3 | 0 | 0 | 1 |
| o-doyle | 3 | 0 | 0 | 2 |
| yilevine | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Pull request#59fuxialexander2026-02-06 20:03
- Issue comment#57flysheeeep2026-02-02 07:28Question about inference peaks embedding with GET model
- Issue comment#54flysheeeep2026-01-28 09:22Gene embedding extraction
- Issue#57flysheeeep2026-01-27 08:48Question about inference peaks embedding with GET model
- Issue comment#55fuxialexander2025-11-25 01:47Request for Gene Expression Prediction Dataset (Raw & Processed)
- Issue comment#51yilevine2025-09-29 19:31hydra_celltype.gene_by_motif.get_causal
- Issue#53Mengfanfang2025-09-23 10:10Questions about pretraining data
- Issue comment#50fuxialexander2025-09-17 16:18Clarification on whether certain chromosomes are excluded during Stage 1 / Stage 2 pretraining
- Issue comment#52fuxialexander2025-09-17 16:12Using GET to directly predict ATAC signal from sequence?
- Issue#52MagpiePKU2025-08-31 17:36Using GET to directly predict ATAC signal from sequence?
- Issue#51yilevine2025-08-27 16:16hydra_celltype.gene_by_motif.get_causal
- Issue#50CHNFTQ2025-08-25 19:02Clarification on whether certain chromosomes are excluded during Stage 1 / Stage 2 pretraining
- Issue#49asunboi2025-08-20 23:47k562 data for lentiMPRA
- Issue comment#33jmyslins2025-08-19 19:58Issue when training on Mouse Genome
- Issue#43asunboi2025-08-14 19:24How are peak regions selected?
- Issue#47Mengfanfang2025-08-11 01:33Clarifications on input representation and lentiMPRA insertion in GET
- Issue comment#48Minos04192025-07-26 02:19'GETHydraCellType' object has no attribute 'gene2strand' When running finetune_pbmc.ipynb
- Issue comment#48fuxialexander2025-07-24 16:46'GETHydraCellType' object has no attribute 'gene2strand' When running finetune_pbmc.ipynb
- Issue comment#47fuxialexander2025-07-22 04:14Clarifications on input representation and lentiMPRA insertion in GET
- Issue comment#47Mengfanfang2025-07-18 15:54Clarifications on input representation and lentiMPRA insertion in GET
- Issue#47Mengfanfang2025-07-16 08:43Clarifications on input representation and lentiMPRA insertion in GET
- Issue#45Lulu00152025-07-11 00:42Pretrain data in Zarr files
- Issue#45Lulu00152025-07-09 18:58Pretrain data in Zarr files
- Issue comment#44fuxialexander2025-07-01 18:18How to configure the 'metadata_path'
- Issue#44amazingma2025-06-30 09:09How to configure the 'metadata_path'
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 90 stars here means stars gained during the window, not the repo's star count.