TD
yandex-research/tab-ddpm
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
543 132 +0/wk
GitHub
ai deep-learning diffusion-models pytorch synthetic-data tabular
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
yandex-research/tab-ddpm has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | tab-ddpm | Mengzi | awesome-ml-model-compression | torchani |
|---|---|---|---|---|
| Stars | 543 | 543 | 543 | 543 |
| Forks | 132 | 62 | 62 | 137 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | MIT |
Capability Radar vs Mengzi
tab-ddpm
Mengzi
Maintenance Activity 0
Last code push 635 days ago.
Community Engagement 100
Fork-to-star ratio: 24.3%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.