sidhu2690 / RBF-KANLinks
This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
☆29Updated last year
Alternatives and similar repositories for RBF-KAN
Users that are interested in RBF-KAN are comparing it to the libraries listed below
Sorting:
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆42Updated last year
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆107Updated 3 months ago
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆39Updated last year
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆36Updated last year
- Benchmark for efficiency in memory and time of different KAN implementations.☆137Updated last year
- This repository contains a better implementation of Kolmogorov-Arnold networks☆63Updated 7 months ago
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆134Updated last year
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆41Updated 10 months ago
- Temporal Kolmogorov-Arnold Transformer☆85Updated last year
- ☆97Updated last year
- SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series☆49Updated last year
- Conformal Prediction for Time Series with Modern Hopfield Networks☆85Updated 7 months ago
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆28Updated last month
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial…☆44Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆118Updated this week
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆122Updated last year
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆28Updated last year
- Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)☆67Updated 9 months ago
- Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.☆179Updated 2 years ago
- Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"☆13Updated 11 months ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Spectral Attention Autoregressive Model (SAAM)☆16Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- ☆46Updated last year
- ☆48Updated last year
- A simple example of VAEs with KANs☆11Updated last year
- PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.☆87Updated last year
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆87Updated 11 months ago
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆401Updated last year