The code is associated with the paper entitled "KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics"
☆40Jul 23, 2025Updated 11 months ago
Alternatives and similar repositories for KAN-ODEs
Users that are interested in KAN-ODEs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Universal differential equations for ecologists☆16Apr 24, 2026Updated 2 months ago
- ☆12Dec 3, 2024Updated last year
- ☆18Aug 13, 2024Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆32Jan 17, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆17Jun 3, 2026Updated last month
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- ☆23Oct 23, 2020Updated 5 years ago
- ☆16Mar 3, 2023Updated 3 years ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆25Aug 2, 2021Updated 4 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆35Nov 23, 2023Updated 2 years ago
- Weight Initialization Schemes for Deep Learning Frameworks☆10Nov 4, 2024Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Dec 7, 2025Updated 6 months ago
- ☆33Mar 14, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Five pillars of computational reproducibility☆12Feb 6, 2024Updated 2 years ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆13Mar 6, 2025Updated last year
- KolmogorovArnoldNetworks.jl is a Julia library providing implementations of Kolmogorov-Arnold neural networks☆32Nov 24, 2025Updated 7 months ago
- Laminar flow prediction using graph neural networks☆32Jan 17, 2025Updated last year
- [MICCAI-STACOM 2022] This repository is the official implementation of "Learning correspondences of cardiac motion from images using biom…☆13Sep 30, 2022Updated 3 years ago
- Code for reviewers☆12Oct 8, 2024Updated last year
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks☆39May 7, 2026Updated last month
- NeurIPS 2024: Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding☆17Jun 20, 2025Updated last year
- ☆13Aug 28, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆35Dec 4, 2023Updated 2 years ago
- Experimental Design for Gaussian Process Regression in Python☆12Dec 31, 2021Updated 4 years ago
- A comprehensive collection of 25+ recurrent neural network layers for Lux.jl☆18Updated this week
- ☆10Apr 26, 2018Updated 8 years ago
- Code for paper 'DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning'☆18Aug 1, 2023Updated 2 years ago
- Call XGBoost from Fortran☆12Jun 20, 2023Updated 3 years ago
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆40Jun 26, 2026Updated last week
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆81Feb 1, 2023Updated 3 years ago
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆28Jul 10, 2025Updated 11 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on …☆124Jun 29, 2026Updated last week
- Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich☆18Jul 22, 2025Updated 11 months ago
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆26Jun 28, 2026Updated last week
- The official code for [Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations] ( ACM MM 24 )☆18Mar 24, 2026Updated 3 months ago
- A hybrid parallel C++ code to compute structure function of different order☆10Jan 5, 2021Updated 5 years ago
- An IJulia notebook adaptation of Loren Barba's "12 Steps to Navier-Stokes" http://lorenabarba.com/☆34Nov 15, 2020Updated 5 years ago
- A Julia library of positivity-preserving time integration methods☆19Updated this week