BaconDan

IGNNK

PINNS-PDE

PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

transdim

Machine learning for transportation data imputation and prediction.

fluid-inpainting

Inpainting Fluid Dynamics with Tensor Decomposition (NumPy). Blog post: https://medium.com/p/d84065fead4d

KAN4TSF

Kolmogorov Arnold Network (KAN) for Time Series Forecasting (TSF)

bgcp_imputation

Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation

CausalPINNs

AutoPINN

Automated PINN provides methods and processes to make applying the PINN (Physics-informed neural networks) approach available for non-programmers experts, to improve efficiency and potential of Scientific Machine Learning and to accelerate research on Scientific Machine Learning and PINN

pinn-sampling

Non-adaptive and residual-based adaptive sampling for PINNs

Physics-informed-DeepONets

Thermal-PINO

Physics informed neural operator that solves the navier stokes equations and the heat advection equation for conjugate heat trasnfer problems on a channel. The goal is to simulate and generalize across different geometries and reynolds numbers with the same architecture. Research with Prof. Hongwei Sun.

pifno

Physics Informed Fourier Neural Operator

DPOT

Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"

neuraloperator

Learning in infinite dimension with neural operators.

PINO_Applications

Applications of PINOs

physics_informed

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.

CFDBench

A large-scale benchmark for machine learning methods in fluid dynamics

Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN

This is the code of my master thesis.

latent-deeponet

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

X-KANeRF

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

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Time-Series-ARIMA-XGBOOST-RNN

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

KAN

Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

time-series-analysis

Collection of notebooks for time series analysis

FourierKAN

TKAN

TKAN: Temporal Kolmogorov-Arnold Networks

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).