RE
rwth-i6/returnn
The RWTH extensible training framework for universal recurrent neural networks
374 134 +0/wk
GitHub
deep-learning gpu recurrent-neural-networks tensorflow theano
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
rwth-i6/returnn has +0 stars this period . 7-day velocity: 0.3%.
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| Metric | returnn | reward-learning-rl | Amazon-Forest-Computer-Vision | lagom |
|---|---|---|---|---|
| Stars | 374 | 373 | 371 | 378 |
| Forks | 134 | 69 | 73 | 31 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | N/A | MIT |
Capability Radar vs reward-learning-rl
returnn
reward-learning-rl
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 100
Fork-to-star ratio: 35.8%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.