TO
alexshtf/torchcurves
Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs
57 2 +0/wk
GitHub
b-splines curve-fitting deep-learning embeddings interpolation kan kolmogorov-arnold-networks legendre-polynomials machine-learning parametric-curves python pytorch
Trend
0
Star & Fork Trend (13 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
alexshtf/torchcurves 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 | torchcurves | weaviate-ruby | basic-locomotion-isaaclab | conifer |
|---|---|---|---|---|
| Stars | 57 | 57 | 57 | 57 |
| Forks | 2 | 20 | 4 | 32 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Ruby | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | BSD-3-Clause | Apache-2.0 |
Capability Radar vs weaviate-ruby
torchcurves
weaviate-ruby
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 66
Fork-to-star ratio: 3.5%. 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.