Update README.md

mintisan · web-flow · commit accd9eee6d5c · 2024-05-21T12:07:57.000+08:00
diff --git a/README.md b/README.md
@@ -68,7 +68,7 @@ A curated list of awesome libraries, projects, tutorials, papers, and other reso
 - [Conv-KAN](https://github.com/IvanDrokin/torch-conv-kan) : This repository implements Convolutional Kolmogorov-Arnold Layers with various basis functions. ｜ ![Github stars](https://img.shields.io/github/stars/IvanDrokin/torch-conv-kan.svg)
 - [convkan](https://github.com/StarostinV/convkan) : Implementation of convolutional layer version of KAN (drop-in replacement of Conv2d) ｜ ![Github stars](https://img.shields.io/github/stars/StarostinV/convkan.svg)
 - [KA-Conv](https://github.com/XiangboGaoBarry/KA-Conv) : Kolmogorov-Arnold Convolutional Networks with Various Basis Functions (Optimization for Efficiency and GPU memory usage) | ![Github stars](https://img.shields.io/github/stars/XiangboGaoBarry/KA-Conv.svg)
- - [KAN-Conv](https://github.com/omarrayyann/KAN-Conv2D) : Drop-in Convolutional KAN built on multiple implementations ([Original pykan](https://github.com/KindXiaoming/pykan) / [efficient-kan](https://github.com/Blealtan/efficient-kan) / [FastKAN](https://github.com/ZiyaoLi/fast-kan)) to support the original paper hyperparameters. | ![Github stars](https://img.shields.io/github/stars/omarrayyann/KAN-Conv2D.svg)
+ - [KAN-Conv2D](https://github.com/omarrayyann/KAN-Conv2D) : Drop-in Convolutional KAN built on multiple implementations ([Original pykan](https://github.com/KindXiaoming/pykan) / [efficient-kan](https://github.com/Blealtan/efficient-kan) / [FastKAN](https://github.com/ZiyaoLi/fast-kan)) to support the original paper hyperparameters. | ![Github stars](https://img.shields.io/github/stars/omarrayyann/KAN-Conv2D.svg)
 
 ### Benchmark
 
