Code to generate realistic synthetic healthcare data with diffusion models
active 2024-08-13 → 2026-05-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 648 days from 2024-08-13 to 2026-05-22. Pushes: 19 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 13 total, peak 3 in a day. Comments: 14 total, peak 2 in a day. Stars: 23 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 |
|---|---|---|---|---|
| MuhangTian | 32 | 19 | 0 | 10 |
| devin-21 | 6 | 0 | 0 | 2 |
| mahmoudibrahim98 | 2 | 0 | 0 | 1 |
| haoyiso | 1 | 0 | 0 | 0 |
| mayii2001 | 1 | 0 | 0 | 1 |
| xuheng-li99 | 1 | 0 | 0 | 0 |
| novis10813 | 1 | 0 | 0 | 0 |
| JunHanStudy | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#8Weiyang20022025-07-24 05:00Question about MIMIC-III preprocessing: Understanding missing indicator implementation
- Issue comment#7MuhangTian2025-06-25 04:50Input dimension mismatch when using categorical variables with >2 classes
- Issue comment#7MuhangTian2025-05-25 17:11Input dimension mismatch when using categorical variables with >2 classes
- Issue comment#7mahmoudibrahim982025-05-24 17:13Input dimension mismatch when using categorical variables with >2 classes
- Issue comment#6MuhangTian2025-05-23 15:46Mimic-iv preprocessing
- Issue#6MuhangTian2025-05-23 15:46Mimic-iv preprocessing
- Issue comment#7MuhangTian2025-05-23 13:03Input dimension mismatch when using categorical variables with >2 classes
- Issue#7mahmoudibrahim982025-05-23 09:56Input dimension mismatch when using categorical variables with >2 classes
- Issue#6xuheng-li992025-04-03 06:02Mimic-iv preprocessing
- Issue comment#3mayii20012025-02-06 06:30RuntimeError: CUDA error: device-side assert triggered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
- Issue#5devin-212025-01-26 07:04How to generate negative samples?
- Issue comment#5MuhangTian2025-01-25 17:18How to generate negative samples?
- Issue comment#5devin-212025-01-25 06:17How to generate negative samples?
- Issue#5devin-212025-01-24 17:49How to generate negative samples?
- Issue comment#4devin-212025-01-16 04:59How does TimeDiff generate tags with classes to serve downstream tasks?
- Issue#4devin-212025-01-16 04:59How does TimeDiff generate tags with classes to serve downstream tasks?
- Issue#1MuhangTian2025-01-15 22:33Tensorflow version for evaluation
- Issue comment#3MuhangTian2025-01-15 22:32RuntimeError: CUDA error: device-side assert triggered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
- Issue#3MuhangTian2025-01-15 22:32RuntimeError: CUDA error: device-side assert triggered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
- Issue comment#4MuhangTian2025-01-15 22:31How does TimeDiff generate tags with classes to serve downstream tasks?
- Issue#4devin-212025-01-15 15:17How does TimeDiff generate tags with classes to serve downstream tasks?
- Issue#2novis108132024-10-13 04:45ModuleNotFoundError: No module named 'models.denoising_diffusion_pytorch'
- Issue comment#3MuhangTian2024-10-12 10:02RuntimeError: CUDA error: device-side assert triggered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
- Issue comment#2MuhangTian2024-10-12 09:43ModuleNotFoundError: No module named 'models.denoising_diffusion_pytorch'
- Issue#3haoyiso2024-10-11 19:15RuntimeError: CUDA error: device-side assert triggered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 23 stars here means stars gained during the window, not the repo's star count.