TL;DR of the paper, generated automatically.

A PyTorch library for learnable curves that plug into neural models.

• Curves: B-spline or Legendre bases, differentiable through inputs and coefficients.
• Uses: continuous embeddings, Kolmogorov-Arnold networks, functional regression.
• Speed: compared to NumPy, SciPy and EfficientKAN; overhead can be substantial.