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:
- Inverse modelling framework for dynamical systems characterised by complex dynamics.☆13Oct 16, 2025Updated 8 months ago
- ☆12Dec 3, 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
- 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
- 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.
- ☆23Oct 23, 2020Updated 5 years ago
- ☆10Jun 7, 2023Updated 3 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
- 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Modeling transport properties of fluids (viscosity, thermal conductivity, diffusion coefficients) based on entropy scaling and the Chapma…☆17Jun 12, 2026Updated 3 weeks ago
- KolmogorovArnoldNetworks.jl is a Julia library providing implementations of Kolmogorov-Arnold neural networks☆32Nov 24, 2025Updated 7 months ago
- Pure Julia implementation of 1D & 2D cubic Hermite spline interpolation.☆13Sep 6, 2024Updated last year
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years 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
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆28Oct 18, 2021Updated 4 years ago
- Code for reviewers☆12Oct 8, 2024Updated last year
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks☆39May 7, 2026Updated last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- NeurIPS 2024: Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding☆17Jun 20, 2025Updated last year
- 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
- ☆13Apr 16, 2024Updated 2 years ago
- ☆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
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆28Jul 10, 2025Updated 11 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 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
- Beamer template based on Flux-beamer☆10Nov 13, 2023Updated 2 years 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
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆44Jun 24, 2022Updated 4 years ago
- Workshop materials for training in scientific computing and scientific machine learning☆39Jun 25, 2026Updated last week