lbd-hfut Goto Github PK

3d-rcan

Three-dimensional residual channel attention networks

cg-solver-in-the-loop

Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

deep-dic-deep-learning-based-digital-image-correlation

Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deepxde

A library for scientific machine learning and physics-informed learning

deepxde-and-pinn

DeepXDE and PINN

dice

Digital Image Correlation Engine (DICe): a stereo DIC application that runs on Mac, Windows, and Linux

efficient-kan

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

espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

fbpinns

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

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

fourier_feature_nets

Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"

geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

hands-on-rl

https://hrl.boyuai.com/

hp-vpinns

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

image-restoration-toolbox-pytorch-

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

lbd

lswr_loss_function_pinn

A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics

mudic

Digital Image Correlation in Python

multidic

Matlab 3D Digital Image Correlation Toolbox

neuraloperator

Learning in infinite dimension with neural operators.

neuraloperators.jl

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

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

pde-net

PDE-Net: Learning PDEs from Data

phiflow

A differentiable PDE solving framework for machine learning

physics-informed-deep-learning-solid-and-fluid-mechanics

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

physics_informed

pinn-elastodynamics

physics-informed neural network for elastodynamics problem