TO
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
1.6k 133 +1/wk
GitHub
control-theory deep-equilibrium-models deep-learning dynamical-systems implicit-models neural-differential-equations neural-network neural-ode numerical-methods pytorch
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
DiffEqML/torchdyn has +1 stars this period . 7-day velocity: 0.1%.
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| Metric | torchdyn | Awesome-Implicit-NeRF-Robotics | OpenSeq2Seq | ghost |
|---|---|---|---|---|
| Stars | 1.6k | 1.6k | 1.6k | 1.6k |
| Forks | 133 | 97 | 371 | 307 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Jupyter Notebook | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | Apache-2.0 | Apache-2.0 |
Capability Radar vs Awesome-Implicit-NeRF-Robotics
torchdyn
Awesome-Implicit-NeRF-Robotics
Maintenance Activity 0
Last code push 707 days ago.
Community Engagement 43
Fork-to-star ratio: 8.5%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 44
+1 stars this period — 0.06% growth rate.
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.