alirezaafzalaghaei / fKANView external linksLinks
Implementation of Fractional Kolmogorov-Arnold Network (fKAN)
☆30Jan 17, 2025Updated last year
Alternatives and similar repositories for fKAN
Users that are interested in fKAN are comparing it to the libraries listed below
Sorting:
- Implementation of Rational Kolmogorov-Arnold Network (rKAN)☆19Jun 28, 2024Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆39Nov 21, 2024Updated last year
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 4 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆41May 9, 2024Updated last year
- ☆17Jun 12, 2024Updated last year
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆29Jun 15, 2024Updated last year
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- Introductory workshop on using deep neural networks for symbolic regression☆16Feb 8, 2026Updated last week
- ☆15Nov 18, 2024Updated last year
- The code is associated with the paper entitled "KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamica…☆39Jul 23, 2025Updated 6 months ago
- ☆16Jan 20, 2026Updated 3 weeks ago
- Course of Machine Learning for Biomedical Data -TECNUN University of Navarra☆12Mar 6, 2025Updated 11 months ago
- ☆12Aug 22, 2025Updated 5 months ago
- [NeurIPS 2024] SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow☆44Dec 1, 2024Updated last year
- ☆19Nov 24, 2024Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆19Feb 3, 2022Updated 4 years ago
- ☆98Jun 5, 2024Updated last year
- A comparative analysis of 4 ML algorithms. This Hypertension Risk Prediction Model can be described as a machine learning model designed …☆11Jan 25, 2024Updated 2 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Dec 7, 2025Updated 2 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- ☆32Dec 15, 2024Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- ☆16Nov 2, 2025Updated 3 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆32Nov 23, 2023Updated 2 years ago
- This repository demonstrates the application of efficient Kolmogorov-Arnold Networks (KAN) in a curve fitting (regression) task.☆35Jul 12, 2024Updated last year
- ☆37Dec 2, 2024Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 4 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆17Apr 18, 2024Updated last year
- Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning☆14Apr 24, 2024Updated last year
- AI-powered cryptocurrency trading bot built using deep reinforcement learning (DRL). The bot is designed as a research platform for devel…☆10Jan 18, 2025Updated last year
- Benchmarking and Testing FastKAN☆92May 26, 2024Updated last year
- ☆10Jul 5, 2023Updated 2 years ago
- Reimplemention of "Mask-Guided Attention Network for Occluded Pedestrian Detection" based on mmdetection toolbox☆10Aug 20, 2020Updated 5 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆36May 8, 2024Updated last year
- INTEND (IntegratioN of Transcriptomic and EpigeNomic Data), a novel algorithm for integrating gene expression and DNA methylation dataset…☆12Dec 12, 2022Updated 3 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year