Sid2690 / Deep-KANLinks
Better implementation of Kolmogorov Arnold Network
☆26Updated last year
Alternatives and similar repositories for Deep-KAN
Users that are interested in Deep-KAN are comparing it to the libraries listed below
Sorting:
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆40Updated last year
- ☆16Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆38Updated 10 months ago
- An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations☆188Updated 9 months ago
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆255Updated last year
- ☆90Updated 5 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆79Updated 10 months ago
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆195Updated 3 months ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆45Updated 4 months ago
- Multiwavelets-based operator model☆65Updated 3 years ago
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆50Updated last month
- TKAN: Temporal Kolmogorov-Arnold Networks☆213Updated 9 months ago
- A modified CNN architecture using Kolmogorov-Arnold Networks☆83Updated last year
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆389Updated last year
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆17Updated 3 years ago
- Differential equation neural operator☆23Updated 2 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆96Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 4 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆46Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆48Updated last week
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 6 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆172Updated 9 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆27Updated 2 years ago
- Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral☆18Updated 6 months ago
- Transformers for modeling physical systems☆143Updated 2 years ago