Add TorchCurves library to README links

alexshtf · web-flow · commit 15cd96ed01cc · 2025-11-23T10:12:43.000+02:00
Added TorchCurves - a library for incorporating differentiable parametric curves as PyTorch modules, and supports easily incorporating KAN layers in an arbitrary network.
diff --git a/README.md b/README.md
@@ -145,6 +145,7 @@ A curated list of awesome libraries, projects, tutorials, papers, and other reso
 - [OIKAN](https://github.com/silvermete0r/oikan): Neuro-Symbolic ML for Scientific Discovery (not a direct implementation of KANs but a KART-inspired alternative to make more efficient and accurate Neuro-Symbolic ML) | ![Github stars](https://img.shields.io/github/stars/silvermete0r/oikan.svg)
 - [timeKAN](https://github.com/SamerMakni/timekan):  Kolmogorov-Arnold Networks with recurrent architectures | ![Github stars](https://img.shields.io/github/stars/SamerMakni/timekan)
 - [MatrixKAN](https://github.com/OSU-STARLAB/MatrixKAN): MatrixKAN: An optimized B-spline-based KAN implementation with superior effective computation time for higher spline degrees and larger datasets | ![Github stars](https://img.shields.io/github/stars/OSU-STARLAB/MatrixKAN.svg)
+- [TorchCurves](https://github.com/alexshtf/torchcurves): A differentiable parametric curves PyTorch library, with both B-Splines and Legendre Polynomials, that allows to easily build KAN layers. | ![Github stars](https://img.shields.io/github/stars/alexshtf/torchcurves.svg)
 
 
 ### Library-based
