PT
google-research/prompt-tuning
Original Implementation of Prompt Tuning from Lester, et al, 2021
697 63 +0/wk
GitHub
flax jax language-model machine-learning nlp prompt-tuning
Trend
0
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
google-research/prompt-tuning 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 | prompt-tuning | Books | trump-code | Lux.jl |
|---|---|---|---|---|
| Stars | 697 | 697 | 696 | 696 |
| Forks | 63 | 408 | 93 | 85 |
| Weekly Growth | +0 | +0 | +3 | +0 |
| Language | Python | N/A | Python | Julia |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs Books
prompt-tuning
Books
Maintenance Activity 0
Last code push 399 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. Lower fork ratio may indicate passive usage.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.