Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #107

Merged
merged 1 commit into from
Jan 5, 2025
Merged

Update README.md #107

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,7 @@ A curated list of awesome libraries, projects, tutorials, papers, and other reso
- [KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems](https://arxiv.org/abs/2409.06649)
- [GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs](https://arxiv.org/abs/2408.01018)
- [A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts](https://arxiv.org/abs/2409.15161) | [KAMoE-code](https://github.com/remigenet/kamoe) | ![Github stars](https://img.shields.io/github/stars/remigenet/kamoe.svg)
- [Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks](https://arxiv.org/abs/2409.09323) [code](https://github.com/Ali-Meh619/FKAN) | ![Github stars]
- [Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks](https://arxiv.org/abs/2409.09323) | [code](https://github.com/Ali-Meh619/FKAN) | ![Github stars](https://img.shields.io/github/stars/Ali-Meh619/FKAN.svg)
- [Single-Layer Learnable Activation for Implicit Neural Representation (SL2A-INR)](https://arxiv.org/abs/2409.10836)
- [On the expressiveness and spectral bias of KANs](https://arxiv.org/abs/2410.01803) - KANs can represent MLPs of similar size. While MLPs can represent KANs, the number of parameters in an MLP increases significantly with KAN grid size. In addition, KANs have a lower spectral bias for low-frequency patterns.
- [P1-KAN an effective Kolmogorov Arnold Network for function approximation](https://arxiv.org/abs/2410.03801) | [code](https://fime-lab.org/warin-xavier/)
Expand Down