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chebykan

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

deepxde

A library for scientific machine learning and physics-informed learning

fbpinns

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

gano

geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

graph-pde

Using graph network to solve PDEs

jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

markov_neural_operator

mmflow

Manifold Matching via Deep Metric Learning for Improving Generative Flow-based Model

multifidelity-deeponet

Multifidelity DeepONet

nddv

Neural Dynamic Data Valuation

neural-pde-solver

neuraloperator

Learning in infinite dimension with neural operators.

neuraloperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

physics_informed

relu_kan

sno

Spectral Neural Operator

sw-ppt

torch-conv-kan

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

x-kanerf

X-KANeRF [KANeRF-benchmarking]: KAN based NeRF with various basis functions like B-Splines, Fourier, Gaussians, Wavelets, Polynomials, etc